lab7_interactive_visualization.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "lab7 interactive visualization.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyOTiPrTH8J7sfHgT/IsVnBp",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/hkbu-kennycheng/comp3925/blob/main/lab7_interactive_visualization.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# lab7 interactive visualization"
      ],
      "metadata": {
        "id": "xgUK5ouvBipv"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Mounting Google Drive in Colab"
      ],
      "metadata": {
        "id": "EqNsN2r3LLNY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f-nVj3591PZM",
        "outputId": "9a33f69c-c2fe-43ac-a05c-46cbde1aa16e"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "Kdg7gpMqxdCz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7db99dbc-cb3e-43c3-bc97-c2ecdef03ccc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ],
      "source": [
        "!apt update\n",
        "!apt install chromium-browser chromium-chromedriver fonts-noto fonts-noto-cjk\n",
        "!pip install pyppeteer nest_asyncio pandas numpy tqdm seaborn requests\n",
        "# for local runtime with anaconda, please comment out above code and use following conda install intead\n",
        "# !pip install pyppeteer nest_asyncio pandas numpy tqdm seaborn"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import asyncio\n",
        "import nest_asyncio\n",
        "from pyppeteer import launch\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "nest_asyncio.apply()"
      ],
      "metadata": {
        "id": "VeCdfhGqzgCu"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def runAndReturn(func):\n",
        "  return asyncio.get_event_loop().run_until_complete(asyncio.gather(func))[0]"
      ],
      "metadata": {
        "id": "uhLYjnbLytg2"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data collection and processing"
      ],
      "metadata": {
        "id": "XTX3y9itSZIn"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## HKTVMall"
      ],
      "metadata": {
        "id": "5xXghHvP_Nrn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from time import time, sleep\n",
        "import requests\n",
        "\n",
        "def getLeafCategories():\n",
        "  response = requests.get(f'https://apps.hktvmall.com/cate_map/eese/cate_code_convert.json?_={time()*1000}')\n",
        "  rawdata = response.json()\n",
        "  return [m['hktvmall_original_code'] for m in rawdata['cate_codes_map'] if not m['hktvmall_original_code'][-3:] == '000']\n"
      ],
      "metadata": {
        "id": "TNyGydAOmuVa"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "async def getCategoryTotalPages(catid):\n",
        "  browser = await launch({'executablePath':'/usr/bin/chromium-browser', 'headless': True, 'args':['--no-sandbox']})\n",
        "  # browser = await launch({'headless' :False})\n",
        "  page = await browser.newPage() # open a new browser window\n",
        "  await page.setUserAgent('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.71 Safari/537.36')\n",
        "  await page.setViewport({'width':1280, 'height':1024})\n",
        "  await page.goto(f'https://www.hktvmall.com/hktv/en/search_a?category={catid}', { 'waitUntil':'networkidle0' })\n",
        "  totalText = await page.Jeval('.paginationMenu-content span', 'node => node.textContent')\n",
        "  await browser.close()\n",
        "  return totalText.lstrip('/').rstrip('Pages').strip()"
      ],
      "metadata": {
        "id": "Gu6iMx0go_Rw"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "async def gethktvmall(catid):\n",
        "  data = []\n",
        "  total = int(await getCategoryTotalPages(catid))\n",
        "  browser = await launch({'executablePath':'/usr/bin/chromium-browser', 'headless': True, 'args':['--no-sandbox']})\n",
        "  # browser = await launch({'headless' :False})\n",
        "  page = await browser.newPage() # open a new browser window\n",
        "  await page.setUserAgent('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.71 Safari/537.36')\n",
        "  await page.setViewport({'width':1280, 'height':1024})\n",
        "  for i in range(total):\n",
        "    await page.goto(f'https://www.hktvmall.com/hktv/en/search_a?category={catid}&page={i}', { 'waitUntil':'networkidle0' })\n",
        "    data += [{\n",
        "      'name': ''.join(await e.JJeval('.brand-product-name','nodes => Array.from(nodes).map(node => node.textContent)')),\n",
        "      'packing': ''.join(await e.JJeval('.packing-spec','nodes => Array.from(nodes).map(node => node.textContent)')),\n",
        "      'sales': ''.join(await e.JJeval('.salesNumber-container','nodes => Array.from(nodes).map(node => node.textContent)')),\n",
        "      'reviews': ''.join(await e.JJeval('.review-number','nodes => Array.from(nodes).map(node => node.textContent)')),\n",
        "      'price': ''.join(await e.JJeval('.price','nodes => Array.from(nodes).map(node => node.textContent)')),\n",
        "      'store_name': ''.join(await e.JJeval('.store-name-label','nodes => Array.from(nodes).map(node => node.textContent)')),\n",
        "    } for e in await page.JJ('.product-brief-wrapper')]\n",
        "  await browser.close()\n",
        "  return pd.DataFrame(data)"
      ],
      "metadata": {
        "id": "GiLTcu7YnwRI"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "runAndReturn(gethktvmall('AA11031000001'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 641
        },
        "id": "D1pNNfHr-qn-",
        "outputId": "62175cbb-3066-4d9e-b9ce-dbe348bcfede"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "        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>name</th>\n",
              "      <th>packing</th>\n",
              "      <th>sales</th>\n",
              "      <th>reviews</th>\n",
              "      <th>price</th>\n",
              "      <th>store_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Gourmet Market HK - DANISH NATURE PORK COLLAR ...</td>\n",
              "      <td></td>\n",
              "      <td>50,000+ Sold</td>\n",
              "      <td>(854)</td>\n",
              "      <td>$ 63.80</td>\n",
              "      <td>Gourmet Market HK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Food Daily - POLAND NATURAL MID JOINT CHICKEN ...</td>\n",
              "      <td></td>\n",
              "      <td>6,000+ Sold</td>\n",
              "      <td>(29)</td>\n",
              "      <td>$ 55.00</td>\n",
              "      <td>Food Daily</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Kam Yu Fung - Malaysian White Fishball #chewy#...</td>\n",
              "      <td>Est. 270-300g</td>\n",
              "      <td>5,000+ Sold</td>\n",
              "      <td>(42)</td>\n",
              "      <td>$ 39.00</td>\n",
              "      <td>Food god</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CoolFood - Minji Angus Beef</td>\n",
              "      <td>400g</td>\n",
              "      <td>20,000+ Sold</td>\n",
              "      <td>(261)</td>\n",
              "      <td>$ 39.90</td>\n",
              "      <td>CoolFood</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Gourmet Market HK - PREMIUM NEW ZEALAND ANGUS ...</td>\n",
              "      <td></td>\n",
              "      <td>2,000+ Sold</td>\n",
              "      <td>(25)</td>\n",
              "      <td>$ 69.80</td>\n",
              "      <td>Gourmet Market HK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>419</th>\n",
              "      <td>Food Daily - VANILLA PUFF 6PCS 360G (FROZEN)</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>$ 63.50</td>\n",
              "      <td>Food Daily</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>420</th>\n",
              "      <td>Food Daily - $99 COMBO SET A (FROZEN)</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>$ 99.00</td>\n",
              "      <td>Food Daily</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>421</th>\n",
              "      <td>Batata Greens - 2Packs - Vegan Algae Chinese P...</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>$ 108.00</td>\n",
              "      <td>Happy Moment 丨開心生活-專門店</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>422</th>\n",
              "      <td>Batata Greens - 2Packs - Vegan Algae Chinese P...</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>$ 108.00</td>\n",
              "      <td>JK Organic 有機店｜天然健康食品用品生活專門店</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>423</th>\n",
              "      <td>Emborg - Sliced Cheddar Cheese（84 slices）Frozen</td>\n",
              "      <td></td>\n",
              "      <td>10+ Sold</td>\n",
              "      <td></td>\n",
              "      <td>$ 118.00</td>\n",
              "      <td>O2O-TMart</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>424 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-04f292c9-f118-471b-bfc9-c688b75ae631')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-04f292c9-f118-471b-bfc9-c688b75ae631 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-04f292c9-f118-471b-bfc9-c688b75ae631');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                  name        packing  \\\n",
              "0    Gourmet Market HK - DANISH NATURE PORK COLLAR ...                  \n",
              "1    Food Daily - POLAND NATURAL MID JOINT CHICKEN ...                  \n",
              "2    Kam Yu Fung - Malaysian White Fishball #chewy#...  Est. 270-300g   \n",
              "3                          CoolFood - Minji Angus Beef           400g   \n",
              "4    Gourmet Market HK - PREMIUM NEW ZEALAND ANGUS ...                  \n",
              "..                                                 ...            ...   \n",
              "419       Food Daily - VANILLA PUFF 6PCS 360G (FROZEN)                  \n",
              "420              Food Daily - $99 COMBO SET A (FROZEN)                  \n",
              "421  Batata Greens - 2Packs - Vegan Algae Chinese P...                  \n",
              "422  Batata Greens - 2Packs - Vegan Algae Chinese P...                  \n",
              "423    Emborg - Sliced Cheddar Cheese（84 slices）Frozen                  \n",
              "\n",
              "            sales reviews     price                    store_name  \n",
              "0    50,000+ Sold   (854)   $ 63.80             Gourmet Market HK  \n",
              "1     6,000+ Sold    (29)   $ 55.00                    Food Daily  \n",
              "2     5,000+ Sold    (42)   $ 39.00                      Food god  \n",
              "3    20,000+ Sold   (261)   $ 39.90                      CoolFood  \n",
              "4     2,000+ Sold    (25)   $ 69.80             Gourmet Market HK  \n",
              "..            ...     ...       ...                           ...  \n",
              "419                         $ 63.50                    Food Daily  \n",
              "420                         $ 99.00                    Food Daily  \n",
              "421                        $ 108.00        Happy Moment 丨開心生活-專門店  \n",
              "422                        $ 108.00  JK Organic 有機店｜天然健康食品用品生活專門店  \n",
              "423      10+ Sold          $ 118.00                     O2O-TMart  \n",
              "\n",
              "[424 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data collection"
      ],
      "metadata": {
        "id": "k-rmxkIISdJ_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from tqdm import tqdm\n",
        "from os.path import exists\n",
        "\n",
        "df = pd.DataFrame()\n",
        "\n",
        "for id in tqdm(getLeafCategories()):\n",
        "  if exists(f'/content/drive/MyDrive/{id}.csv'):\n",
        "    continue\n",
        "  catdf = runAndReturn(gethktvmall(id))\n",
        "  catdf.to_csv(f'/content/drive/MyDrive/{id}.csv')\n",
        "  df = df.append(catdf)"
      ],
      "metadata": {
        "id": "n-wZbz9I_Z83"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Loading dataset from drive"
      ],
      "metadata": {
        "id": "Ee_WwCnznqt9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import glob\n",
        "\n",
        "hktvmalldf = pd.DataFrame()\n",
        "\n",
        "for f in glob.glob('/content/drive/MyDrive/AA*.csv'):\n",
        "  hktvmalldf = hktvmalldf.append(pd.read_csv(f, index_col=0), ignore_index=True)"
      ],
      "metadata": {
        "id": "WaBT7MfXneEG"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf.to_csv('/content/drive/MyDrive/hktvmall.csv')"
      ],
      "metadata": {
        "id": "IXKQVMZ-oKX2"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Loading dataset from csv"
      ],
      "metadata": {
        "id": "ASI-5QXhBxMY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!curl https://gist.githubusercontent.com/hkbu-kennycheng/2cfddd0279b52f6e14812b5cad32330c/raw/28a2b55766a897a1755ef60030f3aa37bec44a33/hktvmall.csv > hktvmall.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e0eC76ftrFtV",
        "outputId": "6f1c6454-2ff1-4a9e-f309-b61b437a5d78"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100 16.6M  100 16.6M    0     0  24.1M      0 --:--:-- --:--:-- --:--:-- 24.1M\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf = pd.read_csv('hktvmall.csv', index_col=0)\n",
        "hktvmalldf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        },
        "id": "CJecPzrOrKEG",
        "outputId": "69e00e7c-08fa-4a63-92a1-bd9c24c87552"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-de9a81c6-0e1c-4f19-8b6f-6ee36467f678\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>packing</th>\n",
              "      <th>sales</th>\n",
              "      <th>reviews</th>\n",
              "      <th>price</th>\n",
              "      <th>store_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Chupa Chups - Direct from France - CHUPA CHUPS...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>200+ Sold</td>\n",
              "      <td>(2)</td>\n",
              "      <td>$ 41.00</td>\n",
              "      <td>LAZUR GOURMET</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>L'Azur Gourmet - PAYSANS D'ICI - Organic Apple...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>60+ Sold</td>\n",
              "      <td>NaN</td>\n",
              "      <td>$ 79.00</td>\n",
              "      <td>LAZUR GOURMET</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>L'Azur Gourmet - CLUB DES SOMMELIERS - Banyuls...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10+ Sold</td>\n",
              "      <td>NaN</td>\n",
              "      <td>$ 133.00</td>\n",
              "      <td>LAZUR GOURMET</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Cradle Fresh - CLUB DES SOMMELIERS - Maury Ros...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>$ 136.00</td>\n",
              "      <td>LAZUR GOURMET</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Grace Cup - D197 Musang King Frozen Durian Pul...</td>\n",
              "      <td>200 g</td>\n",
              "      <td>100+ Sold</td>\n",
              "      <td>(3)</td>\n",
              "      <td>$ 198.00</td>\n",
              "      <td>Mandarin Kitchen</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146268</th>\n",
              "      <td>Sunstar - SOFT PICK 40P S~LL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>$ 35.00</td>\n",
              "      <td>JDH Mall</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146269</th>\n",
              "      <td>GUM - Soft-Picks Original Dental Picks Paralle...</td>\n",
              "      <td>50 count</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>$ 68.00</td>\n",
              "      <td>FRESHCO Mart</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146270</th>\n",
              "      <td>Micro Sun - Toothbat dental floss (prevent per...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10+ Sold</td>\n",
              "      <td>NaN</td>\n",
              "      <td>$ 258.00</td>\n",
              "      <td>Micro Sun Project Limited</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146271</th>\n",
              "      <td>3M - 3M Dental Floss Picks Disposable flosser ...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>200+ Sold</td>\n",
              "      <td>(2)</td>\n",
              "      <td>$ 48.00</td>\n",
              "      <td>Hometastic 生活百貨</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146272</th>\n",
              "      <td>DKJmall - Japan imported Birch Toothpicks(abou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>80+ Sold</td>\n",
              "      <td>NaN</td>\n",
              "      <td>$ 34.80</td>\n",
              "      <td>打工仔生活超市</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>146273 rows × 6 columns</p>\n",
              "</div>\n",
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              "    }\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-de9a81c6-0e1c-4f19-8b6f-6ee36467f678 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-de9a81c6-0e1c-4f19-8b6f-6ee36467f678');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                     name   packing  \\\n",
              "0       Chupa Chups - Direct from France - CHUPA CHUPS...       NaN   \n",
              "1       L'Azur Gourmet - PAYSANS D'ICI - Organic Apple...       NaN   \n",
              "2       L'Azur Gourmet - CLUB DES SOMMELIERS - Banyuls...       NaN   \n",
              "3       Cradle Fresh - CLUB DES SOMMELIERS - Maury Ros...       NaN   \n",
              "4       Grace Cup - D197 Musang King Frozen Durian Pul...     200 g   \n",
              "...                                                   ...       ...   \n",
              "146268                       Sunstar - SOFT PICK 40P S~LL       NaN   \n",
              "146269  GUM - Soft-Picks Original Dental Picks Paralle...  50 count   \n",
              "146270  Micro Sun - Toothbat dental floss (prevent per...       NaN   \n",
              "146271  3M - 3M Dental Floss Picks Disposable flosser ...       NaN   \n",
              "146272  DKJmall - Japan imported Birch Toothpicks(abou...       NaN   \n",
              "\n",
              "            sales reviews     price                 store_name  \n",
              "0       200+ Sold     (2)   $ 41.00              LAZUR GOURMET  \n",
              "1        60+ Sold     NaN   $ 79.00              LAZUR GOURMET  \n",
              "2        10+ Sold     NaN  $ 133.00              LAZUR GOURMET  \n",
              "3             NaN     NaN  $ 136.00              LAZUR GOURMET  \n",
              "4       100+ Sold     (3)  $ 198.00           Mandarin Kitchen  \n",
              "...           ...     ...       ...                        ...  \n",
              "146268        NaN     NaN   $ 35.00                   JDH Mall  \n",
              "146269        NaN     NaN   $ 68.00               FRESHCO Mart  \n",
              "146270   10+ Sold     NaN  $ 258.00  Micro Sun Project Limited  \n",
              "146271  200+ Sold     (2)   $ 48.00            Hometastic 生活百貨  \n",
              "146272   80+ Sold     NaN   $ 34.80                    打工仔生活超市  \n",
              "\n",
              "[146273 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data cleaning"
      ],
      "metadata": {
        "id": "TxNbl5yitAu3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf['name'] = hktvmalldf['name'].str.strip()\n",
        "hktvmalldf['packing'] = hktvmalldf['packing'].str.strip()\n",
        "hktvmalldf['sales'] = hktvmalldf['sales'].str.strip().str.rstrip(' Sold').str.rstrip('+').str.replace(',','').astype(float)\n",
        "hktvmalldf['reviews'] = hktvmalldf['reviews'].str.strip().str.lstrip('(').str.rstrip(')').astype(float)\n",
        "hktvmalldf['price'] = hktvmalldf['price'].str.strip().str.lstrip('$ ').str.replace(',','').replace('Not For Sale', np.nan).astype(float)\n",
        "hktvmalldf['store_name'] = hktvmalldf['store_name'].str.strip()"
      ],
      "metadata": {
        "id": "pblD5uvftAfu"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4_UXjueduOo3",
        "outputId": "598a7722-944d-4b7d-c30d-6f617645ba8e"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 146273 entries, 0 to 146272\n",
            "Data columns (total 6 columns):\n",
            " #   Column      Non-Null Count   Dtype  \n",
            "---  ------      --------------   -----  \n",
            " 0   name        146245 non-null  object \n",
            " 1   packing     66707 non-null   object \n",
            " 2   sales       94856 non-null   float64\n",
            " 3   reviews     56915 non-null   float64\n",
            " 4   price       146270 non-null  float64\n",
            " 5   store_name  146245 non-null  object \n",
            "dtypes: float64(3), object(3)\n",
            "memory usage: 7.8+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Check for duplicate data"
      ],
      "metadata": {
        "id": "knp4PTCpuX23"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf[hktvmalldf.duplicated(['name', 'packing', 'price', 'store_name'],keep=False)]"
      ],
      "metadata": {
        "id": "87Dh-UcXuXiu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## ParkNShop"
      ],
      "metadata": {
        "id": "PIsF5TPGprF3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data collection"
      ],
      "metadata": {
        "id": "ZkrsBKKArZvX"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "id": "vaZlnrgPzdHG"
      },
      "outputs": [],
      "source": [
        "from time import sleep\n",
        "import urllib.parse\n",
        "\n",
        "async def getPnKWithKeyword(keyword):\n",
        "  data = []\n",
        "  perPage = 100\n",
        "  url = f'https://www.parknshop.com/en/search?code=ALL&text={keyword}&searchField={keyword}&resultsForPage={perPage}'\n",
        "  browser = await launch({'executablePath':'/usr/bin/chromium-browser', 'headless': True, 'args':['--no-sandbox']}) # For Google Colab\n",
        "  #browser = await launch({'headless':False}) # For loacl runtime\n",
        "  page = await browser.newPage() # open a new browser window\n",
        "  await page.setUserAgent('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.71 Safari/537.36')\n",
        "  await page.setViewport({'width':1280, 'height':1024})\n",
        "  await page.goto(f'https://queue.parknshop.com.hk/?c=aswatson&e=pnsprdhk&t={urllib.parse.quote_plus(url)}',{'waitUntil':'networkidle0'})\n",
        "  await page.screenshot({'path':'PnKqueue.png', 'fullPage':True})\n",
        "  await page.waitForSelector('#MainPart_divProgressbar_Progress_Runner', {'timeout':0, 'hidden':True})\n",
        "  await page.waitForSelector('.showMore', {'timeout':60000, 'visible':True})\n",
        "  await page.screenshot({'path':'PnKsearch.png', 'fullPage':True})\n",
        "\n",
        "  total = int(await page.Jeval('[data-product_list_total_items]','node => node.getAttribute(\"data-product_list_total_items\")'))\n",
        "  i = 1\n",
        "  while True:\n",
        "    print(f'loop {keyword} show more {i}/{total//perPage}')\n",
        "    showMore = await page.waitForSelector('.showMore', {'visible':True})\n",
        "    await showMore.focus()\n",
        "    await page.Jeval('.showMore a','node => node.click()')\n",
        "    await page.waitForSelector('.isloading-overlay', {'timeout':0,'hidden':True})\n",
        "    # sleep(1)\n",
        "    showMore = await page.J('.showMore')\n",
        "    if showMore == None or await showMore.boxModel() == None:\n",
        "      break\n",
        "    await showMore.screenshot({'path':'showmore.png'})\n",
        "    i += 1\n",
        "    if i > 40:\n",
        "      break\n",
        "  await page.screenshot({'path':f'{keyword}.png','fullPage':True})\n",
        "  for p in await page.JJ('.product-container > .item'):\n",
        "    # print('loop products')\n",
        "    await p.hover()\n",
        "    await p.focus()\n",
        "    data.append({\n",
        "      'name':await p.Jeval('.homeProductCarousel', 'node => node.getAttribute(\"data-gtm-homeproductcarousel-name\")'),\n",
        "      'id':''.join(await p.JJeval('.homeProductCarousel', 'nodes => nodes.map(node => node.getAttribute(\"data-gtm-homeproductcarousel-id\"))')),\n",
        "      'url':'https://www.parknshop.com'+await p.Jeval('.pic > a', 'node => node.getAttribute(\"data-link\")'),\n",
        "      'pic':'https://www.parknshop.com'+await p.Jeval('.pic > a > img', 'node => node.getAttribute(\"data-original\")'),\n",
        "      'price':await p.Jeval('.homeProductCarousel', 'node => node.getAttribute(\"data-gtm-homeproductcarousel-price\")'),\n",
        "      'specialoffer':''.join(await p.JJeval('.special-offer', 'nodes => nodes.map(node => node.textContent)')),\n",
        "      'brand':await p.Jeval('.homeProductCarousel', 'node => node.getAttribute(\"data-gtm-homeproductcarousel-brand\")'),\n",
        "      'category':await p.Jeval('.homeProductCarousel', 'node => node.getAttribute(\"data-gtm-homeproductcarousel-category\")'),\n",
        "      'variant':await p.Jeval('.homeProductCarousel', 'node => node.getAttribute(\"data-gtm-homeproductcarousel-variant\")'),\n",
        "      'variantname':await p.Jeval('.homeProductCarousel', 'node => node.getAttribute(\"data-gtm-homeproductcarousel-variant_name\")'),\n",
        "      'topseller':len(await p.JJ('.topSeller')) == 1,\n",
        "      'fairtrade':len(await p.JJ('.fairTrade')) == 1,\n",
        "      'organic':len(await p.JJ('.organic')) == 1,\n",
        "      'eshoponly':len(await p.JJ('.eShopOnly')) == 1,\n",
        "      'healthyfat':len(await p.JJ('.healthyFat')) == 1,\n",
        "      'crustacean':len(await p.JJ('.crustacean')) == 1,\n",
        "    })\n",
        "  await browser.close()\n",
        "  return data"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%time\n",
        "coffeedf = pd.DataFrame(runAndReturn(getPnKWithKeyword('coffee')))"
      ],
      "metadata": {
        "id": "cG8F3M4brZWX"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Loading data from csv"
      ],
      "metadata": {
        "id": "OKcQ_L9aSwPw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!curl https://gist.githubusercontent.com/hkbu-kennycheng/b95757c385ac5e49a1abb1434a966f6c/raw/5110cce1df181d67411c949c304655572740d0b9/pnk.csv > pnk.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-KNGYgrDpqV5",
        "outputId": "a1a44a0e-8a50-45cb-cb17-37c7be71548d"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100 4228k  100 4228k    0     0  6349k      0 --:--:-- --:--:-- --:--:-- 6349k\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "pnkdf = pd.read_csv('pnk.csv', index_col=0)\n",
        "pnkdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "4uR0z38-pvYf",
        "outputId": "f5baa176-ecd6-46d2-ce6b-5f0cf2616a68"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-30942cc2-45b8-4911-ab32-e43cc7597e6c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>id</th>\n",
              "      <th>url</th>\n",
              "      <th>pic</th>\n",
              "      <th>price</th>\n",
              "      <th>specialoffer</th>\n",
              "      <th>brand</th>\n",
              "      <th>category</th>\n",
              "      <th>variant</th>\n",
              "      <th>variantname</th>\n",
              "      <th>...</th>\n",
              "      <th>organic</th>\n",
              "      <th>eshoponly</th>\n",
              "      <th>healthyfat</th>\n",
              "      <th>crustacean</th>\n",
              "      <th>Product Details</th>\n",
              "      <th>Origin</th>\n",
              "      <th>Product Warnings</th>\n",
              "      <th>Product Usage</th>\n",
              "      <th>Storage Condition</th>\n",
              "      <th>Ingredients</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alkaline Water 9.0 (random Pick)</td>\n",
              "      <td>499585</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>9.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Water</td>\n",
              "      <td>499585</td>\n",
              "      <td>420ML</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>- Smart way to hydrate your body- Helps to neu...</td>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>This product contains minerals and is electrol...</td>\n",
              "      <td>Consume shortly after opening.</td>\n",
              "      <td>Keep in a cool dry place away from direct sunl...</td>\n",
              "      <td>Water, Ocean Mineral Concentrate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alkaline Water 9.0 (case) (420ml X 24 Bottles)</td>\n",
              "      <td>378829</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>168.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Water,Bottled Water</td>\n",
              "      <td>378829</td>\n",
              "      <td>24X420ML</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>- Helps neutralize acidity-Help the body detox...</td>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>Keep in a cool dry place away from direct sunl...</td>\n",
              "      <td>drink</td>\n",
              "      <td>Keep in a cool dry place away from direct sunl...</td>\n",
              "      <td>Water, Ocean Mineral Concentrate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>L Type Interdental Brush 0.6mm - 6pcs</td>\n",
              "      <td>805629</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805629</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>L Type Interdental Brush 0.8mm 6pcs</td>\n",
              "      <td>805630</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805630</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>I Type Interdental Brush 0.7mm 5pcs</td>\n",
              "      <td>805627</td>\n",
              "      <td>https://www.parknshop.com/en/i-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>10.0</td>\n",
              "      <td>$15.0 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805627</td>\n",
              "      <td>5S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6722</th>\n",
              "      <td>Kitchen  Towel 9inch</td>\n",
              "      <td>365593</td>\n",
              "      <td>https://www.parknshop.com/en/kitchen-towel-9in...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>25.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>BEST BUY</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365593</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6723</th>\n",
              "      <td>Chauzhou Style Fish Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>https://www.parknshop.com/en/chauzhou-style-fi...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6724</th>\n",
              "      <td>Alkaline Ion Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-ion-wate...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>19.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>KIRIN</td>\n",
              "      <td>Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>2L</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6725</th>\n",
              "      <td>Mushroom Pork Ball</td>\n",
              "      <td>55251</td>\n",
              "      <td>https://www.parknshop.com/en/mushroom-pork-bal...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Meat Balls</td>\n",
              "      <td>55251</td>\n",
              "      <td>170G</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6726</th>\n",
              "      <td>Cuttle Fish Ball</td>\n",
              "      <td>51759</td>\n",
              "      <td>https://www.parknshop.com/en/cuttle-fish-ball/...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51759</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6727 rows × 22 columns</p>\n",
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            "text/plain": [
              "                                                name      id  \\\n",
              "0                   Alkaline Water 9.0 (random Pick)  499585   \n",
              "1     Alkaline Water 9.0 (case) (420ml X 24 Bottles)  378829   \n",
              "2              L Type Interdental Brush 0.6mm - 6pcs  805629   \n",
              "3                L Type Interdental Brush 0.8mm 6pcs  805630   \n",
              "4                I Type Interdental Brush 0.7mm 5pcs  805627   \n",
              "...                                              ...     ...   \n",
              "6722                            Kitchen  Towel 9inch  365593   \n",
              "6723                       Chauzhou Style Fish Balls   51761   \n",
              "6724                              Alkaline Ion Water  483353   \n",
              "6725                              Mushroom Pork Ball   55251   \n",
              "6726                                Cuttle Fish Ball   51759   \n",
              "\n",
              "                                                    url  \\\n",
              "0     https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "1     https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "2     https://www.parknshop.com/en/l-type-interdenta...   \n",
              "3     https://www.parknshop.com/en/l-type-interdenta...   \n",
              "4     https://www.parknshop.com/en/i-type-interdenta...   \n",
              "...                                                 ...   \n",
              "6722  https://www.parknshop.com/en/kitchen-towel-9in...   \n",
              "6723  https://www.parknshop.com/en/chauzhou-style-fi...   \n",
              "6724  https://www.parknshop.com/en/alkaline-ion-wate...   \n",
              "6725  https://www.parknshop.com/en/mushroom-pork-bal...   \n",
              "6726  https://www.parknshop.com/en/cuttle-fish-ball/...   \n",
              "\n",
              "                                                    pic  price  \\\n",
              "0     https://www.parknshop.com/medias/sys_master/fr...    9.0   \n",
              "1     https://www.parknshop.com/medias/sys_master/fr...  168.0   \n",
              "2     https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "3     https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "4     https://www.parknshop.com/medias/sys_master/fr...   10.0   \n",
              "...                                                 ...    ...   \n",
              "6722  https://www.parknshop.com/medias/sys_master/fr...   25.9   \n",
              "6723  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "6724  https://www.parknshop.com/medias/sys_master/fr...   19.9   \n",
              "6725  https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "6726  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "\n",
              "                specialoffer                brand  \\\n",
              "0                        NaN              WATSONS   \n",
              "1                        NaN              WATSONS   \n",
              "2               $20.8 / 2pcs              WATSONS   \n",
              "3               $20.8 / 2pcs              WATSONS   \n",
              "4               $15.0 / 2pcs              WATSONS   \n",
              "...                      ...                  ...   \n",
              "6722  MONEYBACK MEMBER OFFER             BEST BUY   \n",
              "6723  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "6724  MONEYBACK MEMBER OFFER                KIRIN   \n",
              "6725  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "6726  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "\n",
              "                          category  variant variantname  ...  organic  \\\n",
              "0                            Water   499585       420ML  ...    False   \n",
              "1              Water,Bottled Water   378829    24X420ML  ...    False   \n",
              "2     Dental Accessories & Denture   805629          6S  ...    False   \n",
              "3     Dental Accessories & Denture   805630          6S  ...    False   \n",
              "4     Dental Accessories & Denture   805627          5S  ...    False   \n",
              "...                            ...      ...         ...  ...      ...   \n",
              "6722                           NaN   365593          6S  ...    False   \n",
              "6723                 Seafood Balls    51761    170G/PKT  ...    False   \n",
              "6724                         Water   483353          2L  ...    False   \n",
              "6725                    Meat Balls    55251        170G  ...    False   \n",
              "6726                 Seafood Balls    51759    170G/PKT  ...    False   \n",
              "\n",
              "      eshoponly  healthyfat  crustacean  \\\n",
              "0         False       False       False   \n",
              "1         False       False       False   \n",
              "2         False       False       False   \n",
              "3         False       False       False   \n",
              "4         False       False       False   \n",
              "...         ...         ...         ...   \n",
              "6722      False       False       False   \n",
              "6723      False       False       False   \n",
              "6724      False       False       False   \n",
              "6725      False       False       False   \n",
              "6726      False       False       False   \n",
              "\n",
              "                                        Product Details     Origin  \\\n",
              "0     - Smart way to hydrate your body- Helps to neu...  Hong Kong   \n",
              "1     - Helps neutralize acidity-Help the body detox...  Hong Kong   \n",
              "2     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "3     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "4     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "...                                                 ...        ...   \n",
              "6722                                                NaN        NaN   \n",
              "6723                                                NaN        NaN   \n",
              "6724                                                NaN        NaN   \n",
              "6725                                                NaN        NaN   \n",
              "6726                                                NaN        NaN   \n",
              "\n",
              "                                       Product Warnings  \\\n",
              "0     This product contains minerals and is electrol...   \n",
              "1     Keep in a cool dry place away from direct sunl...   \n",
              "2     Do not force the interdental brush between tee...   \n",
              "3     Do not force the interdental brush between tee...   \n",
              "4     Do not force the interdental brush between tee...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                                          Product Usage  \\\n",
              "0                        Consume shortly after opening.   \n",
              "1                                                 drink   \n",
              "2     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "3     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "4     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                                      Storage Condition  \\\n",
              "0     Keep in a cool dry place away from direct sunl...   \n",
              "1     Keep in a cool dry place away from direct sunl...   \n",
              "2     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "3     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "4     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                           Ingredients  \n",
              "0     Water, Ocean Mineral Concentrate  \n",
              "1     Water, Ocean Mineral Concentrate  \n",
              "2                                  NaN  \n",
              "3                                  NaN  \n",
              "4                                  NaN  \n",
              "...                                ...  \n",
              "6722                               NaN  \n",
              "6723                               NaN  \n",
              "6724                               NaN  \n",
              "6725                               NaN  \n",
              "6726                               NaN  \n",
              "\n",
              "[6727 rows x 22 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lgUD1s4kZfIE"
      },
      "source": [
        "### Data cleaning"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H46BCoqnZ3iV"
      },
      "source": [
        "Cleaning empty space characters with strip for object columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "uhHOzV8EZmU0",
        "outputId": "601da6d9-c5a2-4515-d2df-e427b4988fd4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>id</th>\n",
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              "      <th>0</th>\n",
              "      <td>Alkaline Water 9.0 (random Pick)</td>\n",
              "      <td>499585</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>9.0</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>499585</td>\n",
              "      <td>420ML</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>- Smart way to hydrate your body- Helps to neu...</td>\n",
              "      <td>Hong Kong</td>\n",
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              "      <th>1</th>\n",
              "      <td>Alkaline Water 9.0 (case) (420ml X 24 Bottles)</td>\n",
              "      <td>378829</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>168.0</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Water,Bottled Water</td>\n",
              "      <td>378829</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>- Helps neutralize acidity-Help the body detox...</td>\n",
              "      <td>Hong Kong</td>\n",
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              "      <td>drink</td>\n",
              "      <td>Keep in a cool dry place away from direct sunl...</td>\n",
              "      <td>Water, Ocean Mineral Concentrate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>L Type Interdental Brush 0.6mm - 6pcs</td>\n",
              "      <td>805629</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805629</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>L Type Interdental Brush 0.8mm 6pcs</td>\n",
              "      <td>805630</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805630</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>I Type Interdental Brush 0.7mm 5pcs</td>\n",
              "      <td>805627</td>\n",
              "      <td>https://www.parknshop.com/en/i-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>10.0</td>\n",
              "      <td>$15.0 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805627</td>\n",
              "      <td>5S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6722</th>\n",
              "      <td>Kitchen  Towel 9inch</td>\n",
              "      <td>365593</td>\n",
              "      <td>https://www.parknshop.com/en/kitchen-towel-9in...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>25.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>BEST BUY</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365593</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6723</th>\n",
              "      <td>Chauzhou Style Fish Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>https://www.parknshop.com/en/chauzhou-style-fi...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6724</th>\n",
              "      <td>Alkaline Ion Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-ion-wate...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>19.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>KIRIN</td>\n",
              "      <td>Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>2L</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6725</th>\n",
              "      <td>Mushroom Pork Ball</td>\n",
              "      <td>55251</td>\n",
              "      <td>https://www.parknshop.com/en/mushroom-pork-bal...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Meat Balls</td>\n",
              "      <td>55251</td>\n",
              "      <td>170G</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6726</th>\n",
              "      <td>Cuttle Fish Ball</td>\n",
              "      <td>51759</td>\n",
              "      <td>https://www.parknshop.com/en/cuttle-fish-ball/...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51759</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6727 rows × 22 columns</p>\n",
              "</div>\n",
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            "text/plain": [
              "                                                name      id  \\\n",
              "0                   Alkaline Water 9.0 (random Pick)  499585   \n",
              "1     Alkaline Water 9.0 (case) (420ml X 24 Bottles)  378829   \n",
              "2              L Type Interdental Brush 0.6mm - 6pcs  805629   \n",
              "3                L Type Interdental Brush 0.8mm 6pcs  805630   \n",
              "4                I Type Interdental Brush 0.7mm 5pcs  805627   \n",
              "...                                              ...     ...   \n",
              "6722                            Kitchen  Towel 9inch  365593   \n",
              "6723                       Chauzhou Style Fish Balls   51761   \n",
              "6724                              Alkaline Ion Water  483353   \n",
              "6725                              Mushroom Pork Ball   55251   \n",
              "6726                                Cuttle Fish Ball   51759   \n",
              "\n",
              "                                                    url  \\\n",
              "0     https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "1     https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "2     https://www.parknshop.com/en/l-type-interdenta...   \n",
              "3     https://www.parknshop.com/en/l-type-interdenta...   \n",
              "4     https://www.parknshop.com/en/i-type-interdenta...   \n",
              "...                                                 ...   \n",
              "6722  https://www.parknshop.com/en/kitchen-towel-9in...   \n",
              "6723  https://www.parknshop.com/en/chauzhou-style-fi...   \n",
              "6724  https://www.parknshop.com/en/alkaline-ion-wate...   \n",
              "6725  https://www.parknshop.com/en/mushroom-pork-bal...   \n",
              "6726  https://www.parknshop.com/en/cuttle-fish-ball/...   \n",
              "\n",
              "                                                    pic  price  \\\n",
              "0     https://www.parknshop.com/medias/sys_master/fr...    9.0   \n",
              "1     https://www.parknshop.com/medias/sys_master/fr...  168.0   \n",
              "2     https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "3     https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "4     https://www.parknshop.com/medias/sys_master/fr...   10.0   \n",
              "...                                                 ...    ...   \n",
              "6722  https://www.parknshop.com/medias/sys_master/fr...   25.9   \n",
              "6723  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "6724  https://www.parknshop.com/medias/sys_master/fr...   19.9   \n",
              "6725  https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "6726  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "\n",
              "                specialoffer                brand  \\\n",
              "0                        NaN              WATSONS   \n",
              "1                        NaN              WATSONS   \n",
              "2               $20.8 / 2pcs              WATSONS   \n",
              "3               $20.8 / 2pcs              WATSONS   \n",
              "4               $15.0 / 2pcs              WATSONS   \n",
              "...                      ...                  ...   \n",
              "6722  MONEYBACK MEMBER OFFER             BEST BUY   \n",
              "6723  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "6724  MONEYBACK MEMBER OFFER                KIRIN   \n",
              "6725  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "6726  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "\n",
              "                          category  variant variantname  ...  organic  \\\n",
              "0                            Water   499585       420ML  ...    False   \n",
              "1              Water,Bottled Water   378829    24X420ML  ...    False   \n",
              "2     Dental Accessories & Denture   805629          6S  ...    False   \n",
              "3     Dental Accessories & Denture   805630          6S  ...    False   \n",
              "4     Dental Accessories & Denture   805627          5S  ...    False   \n",
              "...                            ...      ...         ...  ...      ...   \n",
              "6722                           NaN   365593          6S  ...    False   \n",
              "6723                 Seafood Balls    51761    170G/PKT  ...    False   \n",
              "6724                         Water   483353          2L  ...    False   \n",
              "6725                    Meat Balls    55251        170G  ...    False   \n",
              "6726                 Seafood Balls    51759    170G/PKT  ...    False   \n",
              "\n",
              "      eshoponly  healthyfat  crustacean  \\\n",
              "0         False       False       False   \n",
              "1         False       False       False   \n",
              "2         False       False       False   \n",
              "3         False       False       False   \n",
              "4         False       False       False   \n",
              "...         ...         ...         ...   \n",
              "6722      False       False       False   \n",
              "6723      False       False       False   \n",
              "6724      False       False       False   \n",
              "6725      False       False       False   \n",
              "6726      False       False       False   \n",
              "\n",
              "                                        Product Details     Origin  \\\n",
              "0     - Smart way to hydrate your body- Helps to neu...  Hong Kong   \n",
              "1     - Helps neutralize acidity-Help the body detox...  Hong Kong   \n",
              "2     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "3     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "4     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "...                                                 ...        ...   \n",
              "6722                                                NaN        NaN   \n",
              "6723                                                NaN        NaN   \n",
              "6724                                                NaN        NaN   \n",
              "6725                                                NaN        NaN   \n",
              "6726                                                NaN        NaN   \n",
              "\n",
              "                                       Product Warnings  \\\n",
              "0     This product contains minerals and is electrol...   \n",
              "1     Keep in a cool dry place away from direct sunl...   \n",
              "2     Do not force the interdental brush between tee...   \n",
              "3     Do not force the interdental brush between tee...   \n",
              "4     Do not force the interdental brush between tee...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                                          Product Usage  \\\n",
              "0                        Consume shortly after opening.   \n",
              "1                                                 drink   \n",
              "2     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "3     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "4     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                                      Storage Condition  \\\n",
              "0     Keep in a cool dry place away from direct sunl...   \n",
              "1     Keep in a cool dry place away from direct sunl...   \n",
              "2     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "3     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "4     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                           Ingredients  \n",
              "0     Water, Ocean Mineral Concentrate  \n",
              "1     Water, Ocean Mineral Concentrate  \n",
              "2                                  NaN  \n",
              "3                                  NaN  \n",
              "4                                  NaN  \n",
              "...                                ...  \n",
              "6722                               NaN  \n",
              "6723                               NaN  \n",
              "6724                               NaN  \n",
              "6725                               NaN  \n",
              "6726                               NaN  \n",
              "\n",
              "[6727 rows x 22 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ],
      "source": [
        "pnkdf['name'] = pnkdf['name'].str.strip()\n",
        "pnkdf['url'] = pnkdf['url'].str.strip()\n",
        "pnkdf['pic'] = pnkdf['pic'].str.strip()\n",
        "pnkdf['specialoffer'] = pnkdf['specialoffer'].str.strip()\n",
        "pnkdf['brand'] = pnkdf['brand'].str.strip()\n",
        "pnkdf['category'] = pnkdf['category'].str.strip()\n",
        "pnkdf['variantname'] = pnkdf['variantname'].str.strip()\n",
        "\n",
        "pnkdf"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Drop duplicates with id"
      ],
      "metadata": {
        "id": "ecG-gvhmrYgg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "len(pnkdf['id'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rIPNrORGrD0_",
        "outputId": "a6418d95-61c5-471b-f06c-6a7452747a7d"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6727"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf.drop_duplicates('id' ,inplace=True)"
      ],
      "metadata": {
        "id": "qXcvPShCsEg3"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "LbloytUMsUKX",
        "outputId": "e04e67c9-3510-4ef8-a23b-eb757bb67fa6"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-0e844d0b-e904-415f-bc42-e24a82139e86\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>id</th>\n",
              "      <th>url</th>\n",
              "      <th>pic</th>\n",
              "      <th>price</th>\n",
              "      <th>specialoffer</th>\n",
              "      <th>brand</th>\n",
              "      <th>category</th>\n",
              "      <th>variant</th>\n",
              "      <th>variantname</th>\n",
              "      <th>...</th>\n",
              "      <th>organic</th>\n",
              "      <th>eshoponly</th>\n",
              "      <th>healthyfat</th>\n",
              "      <th>crustacean</th>\n",
              "      <th>Product Details</th>\n",
              "      <th>Origin</th>\n",
              "      <th>Product Warnings</th>\n",
              "      <th>Product Usage</th>\n",
              "      <th>Storage Condition</th>\n",
              "      <th>Ingredients</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alkaline Water 9.0 (random Pick)</td>\n",
              "      <td>499585</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>9.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Water</td>\n",
              "      <td>499585</td>\n",
              "      <td>420ML</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>- Smart way to hydrate your body- Helps to neu...</td>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>This product contains minerals and is electrol...</td>\n",
              "      <td>Consume shortly after opening.</td>\n",
              "      <td>Keep in a cool dry place away from direct sunl...</td>\n",
              "      <td>Water, Ocean Mineral Concentrate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alkaline Water 9.0 (case) (420ml X 24 Bottles)</td>\n",
              "      <td>378829</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>168.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Water,Bottled Water</td>\n",
              "      <td>378829</td>\n",
              "      <td>24X420ML</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>- Helps neutralize acidity-Help the body detox...</td>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>Keep in a cool dry place away from direct sunl...</td>\n",
              "      <td>drink</td>\n",
              "      <td>Keep in a cool dry place away from direct sunl...</td>\n",
              "      <td>Water, Ocean Mineral Concentrate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>L Type Interdental Brush 0.6mm - 6pcs</td>\n",
              "      <td>805629</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805629</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>L Type Interdental Brush 0.8mm 6pcs</td>\n",
              "      <td>805630</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805630</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>I Type Interdental Brush 0.7mm 5pcs</td>\n",
              "      <td>805627</td>\n",
              "      <td>https://www.parknshop.com/en/i-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>10.0</td>\n",
              "      <td>$15.0 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805627</td>\n",
              "      <td>5S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...</td>\n",
              "      <td>China</td>\n",
              "      <td>Do not force the interdental brush between tee...</td>\n",
              "      <td>1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...</td>\n",
              "      <td>STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6722</th>\n",
              "      <td>Kitchen  Towel 9inch</td>\n",
              "      <td>365593</td>\n",
              "      <td>https://www.parknshop.com/en/kitchen-towel-9in...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>25.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>BEST BUY</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365593</td>\n",
              "      <td>6S</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6723</th>\n",
              "      <td>Chauzhou Style Fish Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>https://www.parknshop.com/en/chauzhou-style-fi...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6724</th>\n",
              "      <td>Alkaline Ion Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-ion-wate...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>19.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>KIRIN</td>\n",
              "      <td>Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>2L</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6725</th>\n",
              "      <td>Mushroom Pork Ball</td>\n",
              "      <td>55251</td>\n",
              "      <td>https://www.parknshop.com/en/mushroom-pork-bal...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Meat Balls</td>\n",
              "      <td>55251</td>\n",
              "      <td>170G</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6726</th>\n",
              "      <td>Cuttle Fish Ball</td>\n",
              "      <td>51759</td>\n",
              "      <td>https://www.parknshop.com/en/cuttle-fish-ball/...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51759</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6727 rows × 22 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0e844d0b-e904-415f-bc42-e24a82139e86')\"\n",
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            ],
            "text/plain": [
              "                                                name      id  \\\n",
              "0                   Alkaline Water 9.0 (random Pick)  499585   \n",
              "1     Alkaline Water 9.0 (case) (420ml X 24 Bottles)  378829   \n",
              "2              L Type Interdental Brush 0.6mm - 6pcs  805629   \n",
              "3                L Type Interdental Brush 0.8mm 6pcs  805630   \n",
              "4                I Type Interdental Brush 0.7mm 5pcs  805627   \n",
              "...                                              ...     ...   \n",
              "6722                            Kitchen  Towel 9inch  365593   \n",
              "6723                       Chauzhou Style Fish Balls   51761   \n",
              "6724                              Alkaline Ion Water  483353   \n",
              "6725                              Mushroom Pork Ball   55251   \n",
              "6726                                Cuttle Fish Ball   51759   \n",
              "\n",
              "                                                    url  \\\n",
              "0     https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "1     https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "2     https://www.parknshop.com/en/l-type-interdenta...   \n",
              "3     https://www.parknshop.com/en/l-type-interdenta...   \n",
              "4     https://www.parknshop.com/en/i-type-interdenta...   \n",
              "...                                                 ...   \n",
              "6722  https://www.parknshop.com/en/kitchen-towel-9in...   \n",
              "6723  https://www.parknshop.com/en/chauzhou-style-fi...   \n",
              "6724  https://www.parknshop.com/en/alkaline-ion-wate...   \n",
              "6725  https://www.parknshop.com/en/mushroom-pork-bal...   \n",
              "6726  https://www.parknshop.com/en/cuttle-fish-ball/...   \n",
              "\n",
              "                                                    pic  price  \\\n",
              "0     https://www.parknshop.com/medias/sys_master/fr...    9.0   \n",
              "1     https://www.parknshop.com/medias/sys_master/fr...  168.0   \n",
              "2     https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "3     https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "4     https://www.parknshop.com/medias/sys_master/fr...   10.0   \n",
              "...                                                 ...    ...   \n",
              "6722  https://www.parknshop.com/medias/sys_master/fr...   25.9   \n",
              "6723  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "6724  https://www.parknshop.com/medias/sys_master/fr...   19.9   \n",
              "6725  https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "6726  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "\n",
              "                specialoffer                brand  \\\n",
              "0                        NaN              WATSONS   \n",
              "1                        NaN              WATSONS   \n",
              "2               $20.8 / 2pcs              WATSONS   \n",
              "3               $20.8 / 2pcs              WATSONS   \n",
              "4               $15.0 / 2pcs              WATSONS   \n",
              "...                      ...                  ...   \n",
              "6722  MONEYBACK MEMBER OFFER             BEST BUY   \n",
              "6723  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "6724  MONEYBACK MEMBER OFFER                KIRIN   \n",
              "6725  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "6726  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "\n",
              "                          category  variant variantname  ...  organic  \\\n",
              "0                            Water   499585       420ML  ...    False   \n",
              "1              Water,Bottled Water   378829    24X420ML  ...    False   \n",
              "2     Dental Accessories & Denture   805629          6S  ...    False   \n",
              "3     Dental Accessories & Denture   805630          6S  ...    False   \n",
              "4     Dental Accessories & Denture   805627          5S  ...    False   \n",
              "...                            ...      ...         ...  ...      ...   \n",
              "6722                           NaN   365593          6S  ...    False   \n",
              "6723                 Seafood Balls    51761    170G/PKT  ...    False   \n",
              "6724                         Water   483353          2L  ...    False   \n",
              "6725                    Meat Balls    55251        170G  ...    False   \n",
              "6726                 Seafood Balls    51759    170G/PKT  ...    False   \n",
              "\n",
              "      eshoponly  healthyfat  crustacean  \\\n",
              "0         False       False       False   \n",
              "1         False       False       False   \n",
              "2         False       False       False   \n",
              "3         False       False       False   \n",
              "4         False       False       False   \n",
              "...         ...         ...         ...   \n",
              "6722      False       False       False   \n",
              "6723      False       False       False   \n",
              "6724      False       False       False   \n",
              "6725      False       False       False   \n",
              "6726      False       False       False   \n",
              "\n",
              "                                        Product Details     Origin  \\\n",
              "0     - Smart way to hydrate your body- Helps to neu...  Hong Kong   \n",
              "1     - Helps neutralize acidity-Help the body detox...  Hong Kong   \n",
              "2     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "3     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "4     WATSONS ORAL CARE RANGE IS SPECIALLY DESIGNED ...      China   \n",
              "...                                                 ...        ...   \n",
              "6722                                                NaN        NaN   \n",
              "6723                                                NaN        NaN   \n",
              "6724                                                NaN        NaN   \n",
              "6725                                                NaN        NaN   \n",
              "6726                                                NaN        NaN   \n",
              "\n",
              "                                       Product Warnings  \\\n",
              "0     This product contains minerals and is electrol...   \n",
              "1     Keep in a cool dry place away from direct sunl...   \n",
              "2     Do not force the interdental brush between tee...   \n",
              "3     Do not force the interdental brush between tee...   \n",
              "4     Do not force the interdental brush between tee...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                                          Product Usage  \\\n",
              "0                        Consume shortly after opening.   \n",
              "1                                                 drink   \n",
              "2     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "3     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "4     1. PUT THE INTERDENTAL BRUSH BETWEEN THE TEETH...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                                      Storage Condition  \\\n",
              "0     Keep in a cool dry place away from direct sunl...   \n",
              "1     Keep in a cool dry place away from direct sunl...   \n",
              "2     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "3     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "4     STORE IN A COOL, DRY PLACE AWAY FROM DIRECT SU...   \n",
              "...                                                 ...   \n",
              "6722                                                NaN   \n",
              "6723                                                NaN   \n",
              "6724                                                NaN   \n",
              "6725                                                NaN   \n",
              "6726                                                NaN   \n",
              "\n",
              "                           Ingredients  \n",
              "0     Water, Ocean Mineral Concentrate  \n",
              "1     Water, Ocean Mineral Concentrate  \n",
              "2                                  NaN  \n",
              "3                                  NaN  \n",
              "4                                  NaN  \n",
              "...                                ...  \n",
              "6722                               NaN  \n",
              "6723                               NaN  \n",
              "6724                               NaN  \n",
              "6725                               NaN  \n",
              "6726                               NaN  \n",
              "\n",
              "[6727 rows x 22 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Grouping brand name"
      ],
      "metadata": {
        "id": "ZFzlqvqMsAN_"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9WEV8VhsZl79"
      },
      "source": [
        "Check for dash in `pnkdf['brand']`"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N6p4v60NaB98",
        "outputId": "4116eac2-98d5-4b40-a185-6d7961fbc16f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count       0\n",
              "unique      0\n",
              "top       NaN\n",
              "freq      NaN\n",
              "Name: brand, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ],
      "source": [
        "pnkdf[pnkdf['brand'].str.count('-') > 0]['brand'].describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m2siTPM7a3-9"
      },
      "source": [
        "replace dash with empty string in `pnkdf['brand']`"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AYfXmLumacUF",
        "outputId": "c73317f6-9d61-4ce1-fb0c-e69fc5ff5bab"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count       6624\n",
              "unique      1467\n",
              "top       SELECT\n",
              "freq         263\n",
              "Name: brand, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ],
      "source": [
        "pnkdf['brand'] = pnkdf['brand'].str.replace('-','')\n",
        "pnkdf['brand'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 991
        },
        "id": "Zc_CbI2Kq_Cv",
        "outputId": "217cdcdc-75ca-46ac-b4fd-21e5f017f487"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-0748d7d7-1628-46a2-b940-c1d1aeff3592\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>id</th>\n",
              "      <th>url</th>\n",
              "      <th>pic</th>\n",
              "      <th>price</th>\n",
              "      <th>specialoffer</th>\n",
              "      <th>brand</th>\n",
              "      <th>category</th>\n",
              "      <th>variant</th>\n",
              "      <th>variantname</th>\n",
              "      <th>topseller</th>\n",
              "      <th>fairtrade</th>\n",
              "      <th>organic</th>\n",
              "      <th>eshoponly</th>\n",
              "      <th>healthyfat</th>\n",
              "      <th>crustacean</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alkaline Water 9.0 (random Pick)</td>\n",
              "      <td>499585</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>9.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Water</td>\n",
              "      <td>499585</td>\n",
              "      <td>420ML</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alkaline Water 9.0 (case) (420ml X 24 Bottles)</td>\n",
              "      <td>378829</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-water-9-...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>168.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Water,Bottled Water</td>\n",
              "      <td>378829</td>\n",
              "      <td>24X420ML</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>L Type Interdental Brush 0.6mm - 6pcs</td>\n",
              "      <td>805629</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805629</td>\n",
              "      <td>6S</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>L Type Interdental Brush 0.8mm 6pcs</td>\n",
              "      <td>805630</td>\n",
              "      <td>https://www.parknshop.com/en/l-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>$20.8 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805630</td>\n",
              "      <td>6S</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>I Type Interdental Brush 0.7mm 5pcs</td>\n",
              "      <td>805627</td>\n",
              "      <td>https://www.parknshop.com/en/i-type-interdenta...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>10.0</td>\n",
              "      <td>$15.0 / 2pcs</td>\n",
              "      <td>WATSONS</td>\n",
              "      <td>Dental Accessories &amp; Denture</td>\n",
              "      <td>805627</td>\n",
              "      <td>5S</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26909</th>\n",
              "      <td>Kitchen  Towel 9inch</td>\n",
              "      <td>365593</td>\n",
              "      <td>https://www.parknshop.com/en/kitchen-towel-9in...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>25.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>BEST BUY</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365593</td>\n",
              "      <td>6S</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27000</th>\n",
              "      <td>Chauzhou Style Fish Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>https://www.parknshop.com/en/chauzhou-style-fi...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51761</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27001</th>\n",
              "      <td>Alkaline Ion Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>https://www.parknshop.com/en/alkaline-ion-wate...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>19.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>KIRIN</td>\n",
              "      <td>Water</td>\n",
              "      <td>483353</td>\n",
              "      <td>2L</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27002</th>\n",
              "      <td>Mushroom Pork Ball</td>\n",
              "      <td>55251</td>\n",
              "      <td>https://www.parknshop.com/en/mushroom-pork-bal...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>13.9</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Meat Balls</td>\n",
              "      <td>55251</td>\n",
              "      <td>170G</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27003</th>\n",
              "      <td>Cuttle Fish Ball</td>\n",
              "      <td>51759</td>\n",
              "      <td>https://www.parknshop.com/en/cuttle-fish-ball/...</td>\n",
              "      <td>https://www.parknshop.com/medias/sys_master/fr...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>MONEYBACK MEMBER OFFER</td>\n",
              "      <td>JIU LONG CHENG ZHAI</td>\n",
              "      <td>Seafood Balls</td>\n",
              "      <td>51759</td>\n",
              "      <td>170G/PKT</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6727 rows × 16 columns</p>\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\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-0748d7d7-1628-46a2-b940-c1d1aeff3592 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-0748d7d7-1628-46a2-b940-c1d1aeff3592');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                 name      id  \\\n",
              "0                    Alkaline Water 9.0 (random Pick)  499585   \n",
              "1      Alkaline Water 9.0 (case) (420ml X 24 Bottles)  378829   \n",
              "2               L Type Interdental Brush 0.6mm - 6pcs  805629   \n",
              "3                 L Type Interdental Brush 0.8mm 6pcs  805630   \n",
              "4                 I Type Interdental Brush 0.7mm 5pcs  805627   \n",
              "...                                               ...     ...   \n",
              "26909                            Kitchen  Towel 9inch  365593   \n",
              "27000                       Chauzhou Style Fish Balls   51761   \n",
              "27001                              Alkaline Ion Water  483353   \n",
              "27002                              Mushroom Pork Ball   55251   \n",
              "27003                                Cuttle Fish Ball   51759   \n",
              "\n",
              "                                                     url  \\\n",
              "0      https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "1      https://www.parknshop.com/en/alkaline-water-9-...   \n",
              "2      https://www.parknshop.com/en/l-type-interdenta...   \n",
              "3      https://www.parknshop.com/en/l-type-interdenta...   \n",
              "4      https://www.parknshop.com/en/i-type-interdenta...   \n",
              "...                                                  ...   \n",
              "26909  https://www.parknshop.com/en/kitchen-towel-9in...   \n",
              "27000  https://www.parknshop.com/en/chauzhou-style-fi...   \n",
              "27001  https://www.parknshop.com/en/alkaline-ion-wate...   \n",
              "27002  https://www.parknshop.com/en/mushroom-pork-bal...   \n",
              "27003  https://www.parknshop.com/en/cuttle-fish-ball/...   \n",
              "\n",
              "                                                     pic  price  \\\n",
              "0      https://www.parknshop.com/medias/sys_master/fr...    9.0   \n",
              "1      https://www.parknshop.com/medias/sys_master/fr...  168.0   \n",
              "2      https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "3      https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "4      https://www.parknshop.com/medias/sys_master/fr...   10.0   \n",
              "...                                                  ...    ...   \n",
              "26909  https://www.parknshop.com/medias/sys_master/fr...   25.9   \n",
              "27000  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "27001  https://www.parknshop.com/medias/sys_master/fr...   19.9   \n",
              "27002  https://www.parknshop.com/medias/sys_master/fr...   13.9   \n",
              "27003  https://www.parknshop.com/medias/sys_master/fr...    8.4   \n",
              "\n",
              "                 specialoffer                brand  \\\n",
              "0                         NaN              WATSONS   \n",
              "1                         NaN              WATSONS   \n",
              "2                $20.8 / 2pcs              WATSONS   \n",
              "3                $20.8 / 2pcs              WATSONS   \n",
              "4                $15.0 / 2pcs              WATSONS   \n",
              "...                       ...                  ...   \n",
              "26909  MONEYBACK MEMBER OFFER             BEST BUY   \n",
              "27000  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "27001  MONEYBACK MEMBER OFFER                KIRIN   \n",
              "27002  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "27003  MONEYBACK MEMBER OFFER  JIU LONG CHENG ZHAI   \n",
              "\n",
              "                           category  variant variantname  topseller  \\\n",
              "0                             Water   499585       420ML      False   \n",
              "1               Water,Bottled Water   378829    24X420ML      False   \n",
              "2      Dental Accessories & Denture   805629          6S      False   \n",
              "3      Dental Accessories & Denture   805630          6S       True   \n",
              "4      Dental Accessories & Denture   805627          5S      False   \n",
              "...                             ...      ...         ...        ...   \n",
              "26909                           NaN   365593          6S       True   \n",
              "27000                 Seafood Balls    51761    170G/PKT       True   \n",
              "27001                         Water   483353          2L      False   \n",
              "27002                    Meat Balls    55251        170G       True   \n",
              "27003                 Seafood Balls    51759    170G/PKT       True   \n",
              "\n",
              "       fairtrade  organic  eshoponly  healthyfat  crustacean  \n",
              "0          False    False      False       False       False  \n",
              "1          False    False      False       False       False  \n",
              "2          False    False      False       False       False  \n",
              "3          False    False      False       False       False  \n",
              "4          False    False      False       False       False  \n",
              "...          ...      ...        ...         ...         ...  \n",
              "26909      False    False      False       False       False  \n",
              "27000      False    False      False       False       False  \n",
              "27001      False    False      False       False       False  \n",
              "27002      False    False      False       False       False  \n",
              "27003      False    False      False       False       False  \n",
              "\n",
              "[6727 rows x 16 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Exploring data"
      ],
      "metadata": {
        "id": "I37Tpj4m3-FH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## HKTVMall"
      ],
      "metadata": {
        "id": "-takANTv4aq_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sVmjg2TR4cuu",
        "outputId": "edc81c5c-a5e8-42be-c9b5-42f6fc629f0c"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 146273 entries, 0 to 146272\n",
            "Data columns (total 6 columns):\n",
            " #   Column      Non-Null Count   Dtype  \n",
            "---  ------      --------------   -----  \n",
            " 0   name        146245 non-null  object \n",
            " 1   packing     66707 non-null   object \n",
            " 2   sales       94856 non-null   float64\n",
            " 3   reviews     56915 non-null   float64\n",
            " 4   price       146270 non-null  float64\n",
            " 5   store_name  146245 non-null  object \n",
            "dtypes: float64(3), object(3)\n",
            "memory usage: 7.8+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(hktvmalldf['store_name'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yyEDCpbd4E3n",
        "outputId": "6c2f16a1-fd22-47c1-f25c-73ef985c6679"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2604"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### price"
      ],
      "metadata": {
        "id": "ppsl6RYM4_if"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf[hktvmalldf['price'] < 10000]['price'].hist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "8HUlk0zp4eyR",
        "outputId": "3b049c19-c5ae-4976-f28c-70d7de16201c"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8155768ad0>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ebPVrWzuSrAIuAt4IrAE+28JnAfAZ4DxgFXBxaytJmkNDBUWSZcA7gM+19QBvA+5sTTYDF7TltW2dtv3s1n4tcFtV/ayqngKmgDPbY6qqnqyqnwO3tbaSpDm0cMj9/wL4MPA7bf21wEtVtbet7wSWtuWlwDMAVbU3ycut/VLg3r5j9u/zzLT6WTN1Isl6YD3A2NgYk5OTAw1mbBFccfreAzc8DAbt87D27NkzsnOPimOeHxzz7Bk4KJK8E3i+qh5MMjF7XTp0VbUR2AgwPj5eExODdef6W7ZwzY5hs3MwT18yMZLzTk5OMujzdbRyzPODY549w/xWfCvwriTnA68CXgN8GlicZGF7VbEM2NXa7wJOBXYmWQicCLzQV9+nf5/91SVJc2Tg9yiq6sqqWlZVy+m9Gf2VqroEuAe4sDVbB2xpy1vbOm37V6qqWv2iNitqBbAS+BpwP7CyzaI6rp1j66D9lSQN5nDcZ/kIcFuSTwDfAG5s9RuBzyeZAnbT+8VPVT2S5A7gUWAvcHlV/QIgyQeBbcACYFNVPXIY+itJ6jArQVFVk8BkW36S3oyl6W1+Crx7P/tfDVw9Q/0u4K7Z6KMkaTB+MluS1MmgkCR1MigkSZ0MCklSJ4NCktTJoJAkdTIoJEmdDApJUieDQpLUyaCQJHUyKCRJnQwKSVIng0KS1MmgkCR1MigkSZ0MCklSJ4NCktTJoJAkdTIoJEmdDApJUqeBgyLJqUnuSfJokkeSfKjVT0qyPckT7eeSVk+S65JMJXkoyRl9x1rX2j+RZF1f/c1JdrR9rkuSYQYrSTp0w7yi2AtcUVWrgNXA5UlWARuAu6tqJXB3Wwc4D1jZHuuBG6AXLMBVwFnAmcBV+8KltXl/335rhuivJGkAAwdFVT1bVV9vy/8XeAxYCqwFNrdmm4EL2vJa4ObquRdYnOQU4Fxge1XtrqoXge3AmrbtNVV1b1UVcHPfsSRJc2RW3qNIshx4E3AfMFZVz7ZNzwFjbXkp8Ezfbjtbrau+c4a6JGkOLRz2AEl+G/h74I+r6pX+txGqqpLUsOc4iD6sp3c7i7GxMSYnJwc6ztgiuOL0vbPYs4M3aJ+HtWfPnpGde1Qc8/zgmGfPUEGR5LfohcQtVfWFVv5BklOq6tl2++j5Vt8FnNq3+7JW2wVMTKtPtvqyGdr/hqraCGwEGB8fr4mJiZmaHdD1t2zhmh1DZ+dAnr5kYiTnnZycZNDn62jlmOcHxzx7hpn1FOBG4LGq+vO+TVuBfTOX1gFb+uqXttlPq4GX2y2qbcA5SZa0N7HPAba1ba8kWd3OdWnfsSRJc2SYP5/fCvxbYEeSb7banwKfBO5IchnwPeA9bdtdwPnAFPAT4H0AVbU7yceB+1u7j1XV7rb8AeAmYBHw5faQJM2hgYOiqv43sL/PNZw9Q/sCLt/PsTYBm2aoPwCcNmgfJUnD85PZkqROBoUkqZNBIUnqZFBIkjoZFJKkTgaFJKmTQSFJ6mRQSJI6GRSSpE4GhSSpk0EhSepkUEiSOhkUkqROBoUkqZNBIUnqZFBIkjoZFJKkTgaFJKmTQSFJ6mRQSJI6LRx1B9SzfMOXRnLem9acMJLzSjp6HPGvKJKsSfJ4kqkkG0bdH0mab47ooEiyAPgMcB6wCrg4yarR9kqS5pcj/dbTmcBUVT0JkOQ2YC3w6Eh7dQzZsetl3jui216jcsXpe0cy5qc/+Y45P6c0G470oFgKPNO3vhM4a3qjJOuB9W11T5LHBzzfycCPBtz3qPRHjnnO5FNzfcZfM++uM475UP3z/W040oPioFTVRmDjsMdJ8kBVjc9Cl44ajnl+cMzzw+Ea8xH9HgWwCzi1b31Zq0mS5siRHhT3AyuTrEhyHHARsHXEfZKkeeWIvvVUVXuTfBDYBiwANlXVI4fxlEPfvjoKOeb5wTHPD4dlzKmqw3FcSdIx4ki/9SRJGjGDQpLUyaBojpWvCklyapJ7kjya5JEkH2r1k5JsT/JE+7mk1ZPkujbuh5Kc0Xesda39E0nWjWpMByvJgiTfSPLFtr4iyX1tbLe3CREkOb6tT7Xty/uOcWWrP57k3NGM5OAkWZzkziTfTvJYkrcc69c5yZ+0f9cPJ7k1yauOteucZFOS55M83Febteua5M1JdrR9rkuSA3aqqub9g94b5d8FXgccB3wLWDXqfg04llOAM9ry7wDfoff1J/8Z2NDqG4BPteXzgS8DAVYD97X6ScCT7eeStrxk1OM7wNj/I/BfgS+29TuAi9ryXwH/oS1/APirtnwRcHtbXtWu/fHAivZvYsGox9Ux3s3Av2vLxwGLj+XrTO8DuE8Bi/qu73uPtesM/B5wBvBwX23WrivwtdY2bd/zDtinUT8pR8IDeAuwrW/9SuDKUfdrlsa2Bfh94HHglFY7BXi8Lf81cHFf+8fb9ouBv+6r/1q7I+1B7zM2dwNvA77Y/iP4EbBw+jWmN4vuLW15YWuX6de9v92R9gBObL80M61+zF5nfvVNDSe16/ZF4Nxj8ToDy6cFxaxc17bt2331X2u3v4e3nnpm+qqQpSPqy6xpL7XfBNwHjFXVs23Tc8BYW97f2I+25+QvgA8D/6+tvxZ4qar2tvX+/v9ybG37y6390TTmFcAPgb9tt9s+l+QEjuHrXFW7gD8Dvg88S++6PcixfZ33ma3rurQtT693MiiOUUl+G/h74I+r6pX+bdX7U+KYmRed5J3A81X14Kj7MocW0rs9cUNVvQn4Mb1bEr90DF7nJfS+FHQF8M+AE4A1I+3UCIziuhoUPcfUV4Uk+S16IXFLVX2hlX+Q5JS2/RTg+Vbf39iPpufkrcC7kjwN3Ebv9tOngcVJ9n2otL//vxxb234i8AJH15h3Ajur6r62fie94DiWr/Pbgaeq6odV9Q/AF+hd+2P5Ou8zW9d1V1ueXu9kUPQcM18V0mYw3Ag8VlV/3rdpK7Bv5sM6eu9d7Ktf2mZPrAZebi9xtwHnJFnS/pI7p9WOOFV1ZVUtq6rl9K7dV6rqEuAe4MLWbPqY9z0XF7b21eoXtdkyK4CV9N74O+JU1XPAM0ne0Epn0/v6/WP2OtO75bQ6yavbv/N9Yz5mr3OfWbmubdsrSVa35/DSvmPt36jftDlSHvRmD3yH3gyIj466P0OM49/Qe1n6EPDN9jif3r3Zu4EngP8FnNTah97/HOq7wA5gvO9YfwBMtcf7Rj22gxz/BL+a9fQ6er8ApoC/A45v9Ve19am2/XV9+3+0PRePcxCzQUY81n8NPNCu9X+nN7vlmL7OwH8Cvg08DHye3sylY+o6A7fSew/mH+i9crxsNq8rMN6ev+8Cf8m0CREzPfwKD0lSJ289SZI6GRSSpE4GhSSpk0EhSepkUEiSOhkUkqROBoUkqdP/BzCy6doNkpFKAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf[hktvmalldf['price'] < 1000]['price'].hist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "O0_aXQv05CHI",
        "outputId": "52072231-9b04-4e98-cd00-5ca204a536f9"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f81554f2550>"
            ]
          },
          "metadata": {},
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### store_name"
      ],
      "metadata": {
        "id": "RUZp_dnEF9Mp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf[['store_name','name']].groupby(by=['store_name']).count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "mKWApTqLF5QI",
        "outputId": "8c653395-769c-4907-f208-b49571c847ce"
      },
      "execution_count": 147,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-acbc467b-34b7-4836-84fe-15a48b26eb3e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>store_name</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>(OUR: ) Wellness Limited</th>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(Opening Soon) Pinewood Store</th>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-19° Degree</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-On-Fire-火-</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10 Acres</th>\n",
              "      <td>1894</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>里海 Caspi</th>\n",
              "      <td>464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>集美生活</th>\n",
              "      <td>75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>電器管家</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>韓日專屬-Cool Food</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>香港關東百源堂（靈藥德興堂）聯合藥廠有限公司</th>\n",
              "      <td>51</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2603 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-acbc467b-34b7-4836-84fe-15a48b26eb3e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "                                                     [key], {});\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "                               name\n",
              "store_name                         \n",
              "(OUR: ) Wellness Limited         26\n",
              "(Opening Soon) Pinewood Store    27\n",
              "-19° Degree                       3\n",
              "-On-Fire-火-                       5\n",
              "10 Acres                       1894\n",
              "...                             ...\n",
              "里海 Caspi                        464\n",
              "集美生活                             75\n",
              "電器管家                             12\n",
              "韓日專屬-Cool Food                    2\n",
              "香港關東百源堂（靈藥德興堂）聯合藥廠有限公司           51\n",
              "\n",
              "[2603 rows x 1 columns]"
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        "hktvmalldf[['store_name','name']].groupby(by=['store_name']).count().sort_values(by=['name'], ascending=False)"
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      "execution_count": 152,
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          "data": {
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              "\n",
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              "      <td>2889</td>\n",
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              "                                                     [key], {});\n",
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              "\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",
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              "                                          name\n",
              "store_name                                    \n",
              "大笪地                                       2889\n",
              "貓犬工房                                      2217\n",
              "10 Acres                                  1894\n",
              "Beautique                                 1345\n",
              "Duo Duo Store                             1083\n",
              "...                                        ...\n",
              "HONG KONG TOP QUALITY GOODS CO., LIMITED     1\n",
              "Sendo                                        1\n",
              "MerryJAM                                     1\n",
              "Schneider Electric Flagship Store            1\n",
              "Perfume Station                              1\n",
              "\n",
              "[2603 rows x 1 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 152
        }
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        "hktvmalldf[['store_name','price']].groupby(by=['store_name']).mean()"
      ],
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          "base_uri": "https://localhost:8080/",
          "height": 455
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        "outputId": "656806fa-ed62-40ce-c436-43a8c7c037a7"
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      "execution_count": 148,
      "outputs": [
        {
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          "data": {
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>price</th>\n",
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              "      <th></th>\n",
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              "  <tbody>\n",
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              "      <th>(OUR: ) Wellness Limited</th>\n",
              "      <td>198.996154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(Opening Soon) Pinewood Store</th>\n",
              "      <td>91.285185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-19° Degree</th>\n",
              "      <td>82.333333</td>\n",
              "    </tr>\n",
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              "      <th>-On-Fire-火-</th>\n",
              "      <td>261.200000</td>\n",
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              "      <th>10 Acres</th>\n",
              "      <td>1717.493770</td>\n",
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              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>里海 Caspi</th>\n",
              "      <td>242.523491</td>\n",
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              "    <tr>\n",
              "      <th>集美生活</th>\n",
              "      <td>146.062667</td>\n",
              "    </tr>\n",
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              "      <td>2317.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>韓日專屬-Cool Food</th>\n",
              "      <td>26.400000</td>\n",
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              "    <tr>\n",
              "      <th>香港關東百源堂（靈藥德興堂）聯合藥廠有限公司</th>\n",
              "      <td>115.450980</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2603 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7f4b1b6c-1575-4d9f-8119-c554001f000d')\"\n",
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              "            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",
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              "  "
            ],
            "text/plain": [
              "                                     price\n",
              "store_name                                \n",
              "(OUR: ) Wellness Limited        198.996154\n",
              "(Opening Soon) Pinewood Store    91.285185\n",
              "-19° Degree                      82.333333\n",
              "-On-Fire-火-                     261.200000\n",
              "10 Acres                       1717.493770\n",
              "...                                    ...\n",
              "里海 Caspi                        242.523491\n",
              "集美生活                            146.062667\n",
              "電器管家                           2317.666667\n",
              "韓日專屬-Cool Food                   26.400000\n",
              "香港關東百源堂（靈藥德興堂）聯合藥廠有限公司          115.450980\n",
              "\n",
              "[2603 rows x 1 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hktvmalldf[['store_name','price']].groupby(by=['store_name']).mean().sort_values(by=['price'], ascending=False)"
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      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
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        "id": "3LUQzV13KIig",
        "outputId": "bcd991c0-6fbe-47ac-e93b-82d77673367a"
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      "execution_count": 153,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\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>price</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>store_name</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>HKTV Shop</th>\n",
              "      <td>9999.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>JVG</th>\n",
              "      <td>9272.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Luxury Life Pavilion</th>\n",
              "      <td>9000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Magic Living</th>\n",
              "      <td>8646.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A&amp;M Shop</th>\n",
              "      <td>8260.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mars Wrigley Flagship Store</th>\n",
              "      <td>17.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MAWI &amp; CO. | The Lifestyle Store</th>\n",
              "      <td>15.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SUR RIVER FOOD</th>\n",
              "      <td>14.416667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VIVIESTA SPORT</th>\n",
              "      <td>12.160000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pop Kids</th>\n",
              "      <td>11.464286</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2603 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-76218b4d-060a-4c78-b77c-567cf4aa61cf')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\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",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      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",
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              "\n",
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              "          document.querySelector('#df-76218b4d-060a-4c78-b77c-567cf4aa61cf 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-76218b4d-060a-4c78-b77c-567cf4aa61cf');\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",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                        price\n",
              "store_name                                   \n",
              "HKTV Shop                         9999.000000\n",
              "JVG                               9272.000000\n",
              "Luxury Life Pavilion              9000.000000\n",
              "Magic Living                      8646.666667\n",
              "A&M Shop                          8260.000000\n",
              "...                                       ...\n",
              "Mars Wrigley Flagship Store         17.000000\n",
              "MAWI & CO. | The Lifestyle Store    15.000000\n",
              "SUR RIVER FOOD                      14.416667\n",
              "VIVIESTA SPORT                      12.160000\n",
              "Pop Kids                            11.464286\n",
              "\n",
              "[2603 rows x 1 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## ParkNShop"
      ],
      "metadata": {
        "id": "A4iWIncs5q0y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RDa4s5wi5qkc",
        "outputId": "57a21a64-84f9-47b7-da2a-87b776b5c61f"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 6727 entries, 0 to 6726\n",
            "Data columns (total 22 columns):\n",
            " #   Column             Non-Null Count  Dtype  \n",
            "---  ------             --------------  -----  \n",
            " 0   name               6720 non-null   object \n",
            " 1   id                 6727 non-null   int64  \n",
            " 2   url                6727 non-null   object \n",
            " 3   pic                6727 non-null   object \n",
            " 4   price              6726 non-null   float64\n",
            " 5   specialoffer       2527 non-null   object \n",
            " 6   brand              6624 non-null   object \n",
            " 7   category           6049 non-null   object \n",
            " 8   variant            6727 non-null   int64  \n",
            " 9   variantname        6726 non-null   object \n",
            " 10  topseller          6727 non-null   bool   \n",
            " 11  fairtrade          6727 non-null   bool   \n",
            " 12  organic            6727 non-null   bool   \n",
            " 13  eshoponly          6727 non-null   bool   \n",
            " 14  healthyfat         6727 non-null   bool   \n",
            " 15  crustacean         6727 non-null   bool   \n",
            " 16  Product Details    5056 non-null   object \n",
            " 17  Origin             6266 non-null   object \n",
            " 18  Product Warnings   3119 non-null   object \n",
            " 19  Product Usage      2642 non-null   object \n",
            " 20  Storage Condition  4168 non-null   object \n",
            " 21  Ingredients        3791 non-null   object \n",
            "dtypes: bool(6), float64(1), int64(2), object(13)\n",
            "memory usage: 932.8+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### price"
      ],
      "metadata": {
        "id": "kK-9Skp05wMv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf[pnkdf['price'] < 400]['price'].hist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "5b9W7sAk5vgu",
        "outputId": "0faae6bf-e60c-4ea6-9952-879751815ebe"
      },
      "execution_count": 144,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f814ef92d90>"
            ]
          },
          "metadata": {},
          "execution_count": 144
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### brand"
      ],
      "metadata": {
        "id": "MsVrvbRC6-QP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "len(pnkdf['brand'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JyFFtLt07fyO",
        "outputId": "98aea6e9-830e-4362-efb4-0dfb7e2f2899"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1468"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### SELECT"
      ],
      "metadata": {
        "id": "zKPN7-7V_kev"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf[pnkdf['brand'] == 'SELECT']['price'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NRUvlScp_nan",
        "outputId": "33a96e1a-4599-4c0b-8bcb-3492c5c337a8"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "24.832319391634904"
            ]
          },
          "metadata": {},
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf[['brand','price']].groupby(by=['brand']).mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "rHy28xuA_No_",
        "outputId": "0aeab98c-86d7-4c69-f019-6af5487091ac"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-426473f9-c061-4c8b-991d-8deb878b80ad\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>price</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>brand</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3HK</th>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3M</th>\n",
              "      <td>1880.315152</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3M NEXCARE</th>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5HOUR ENERGY</th>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7 UP</th>\n",
              "      <td>23.016667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZHIZHONGHE</th>\n",
              "      <td>39.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZIGNATURE</th>\n",
              "      <td>819.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZIPLOC</th>\n",
              "      <td>21.150000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZOLLER HOF</th>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freshmarket</th>\n",
              "      <td>32.900000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1467 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-426473f9-c061-4c8b-991d-8deb878b80ad')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "      \n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "    }\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",
              "    [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",
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              "\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-426473f9-c061-4c8b-991d-8deb878b80ad 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-426473f9-c061-4c8b-991d-8deb878b80ad');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                    price\n",
              "brand                    \n",
              "3HK             33.000000\n",
              "3M            1880.315152\n",
              "3M NEXCARE      33.000000\n",
              "5HOUR ENERGY    30.000000\n",
              "7 UP            23.016667\n",
              "...                   ...\n",
              "ZHIZHONGHE      39.900000\n",
              "ZIGNATURE      819.000000\n",
              "ZIPLOC          21.150000\n",
              "ZOLLER HOF      30.000000\n",
              "freshmarket     32.900000\n",
              "\n",
              "[1467 rows x 1 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf[['brand','name']].groupby(by=['brand']).count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "WCf1kqGAAZAH",
        "outputId": "b2b3192b-7709-45f9-880d-2225155ecac5"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "    <div class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>brand</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3HK</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3M</th>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3M NEXCARE</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5HOUR ENERGY</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7 UP</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>...</td>\n",
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              "      <th>ZHIZHONGHE</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZIGNATURE</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZIPLOC</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZOLLER HOF</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freshmarket</th>\n",
              "      <td>1</td>\n",
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            ],
            "text/plain": [
              "              name\n",
              "brand             \n",
              "3HK              1\n",
              "3M              33\n",
              "3M NEXCARE       2\n",
              "5HOUR ENERGY     2\n",
              "7 UP             6\n",
              "...            ...\n",
              "ZHIZHONGHE       1\n",
              "ZIGNATURE        1\n",
              "ZIPLOC           8\n",
              "ZOLLER HOF       1\n",
              "freshmarket      1\n",
              "\n",
              "[1467 rows x 1 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Origin"
      ],
      "metadata": {
        "id": "VAk1eg9-KSzI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf['Origin'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6nSyInRrKUBv",
        "outputId": "ad896927-79ed-4632-a8f3-21f69cb1dffd"
      },
      "execution_count": 155,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Hong Kong', 'China', 'Belgium', 'Thailand', 'Korea', 'Italy',\n",
              "       'France', 'Product in Canada,Packed in Hong Kong',\n",
              "       'Made with Australian OatsPacked in China', 'Taiwan',\n",
              "       'Product of USAPacked in Hong Kong',\n",
              "       'Product of AustraliaPacked in Hong Kong', 'Vietnam', 'Singapore',\n",
              "       'United States', 'Norway', 'Packed in Italy', 'Malaysia',\n",
              "       'Product of European Union,Packed in China',\n",
              "       'Product of European UnionPacked in China',\n",
              "       'Taiwan, Province Of China', 'Indonesia',\n",
              "       'Product of Malaysia, Packed in Hong Kong', 'Australia', 'Brzail',\n",
              "       'Canada', 'Sri Lanka', 'Japan', 'UK', 'US', 'United Kingdom',\n",
              "       'Denmark', 'Spain', 'Yarra Valley, Australia', 'Germany', nan,\n",
              "       'South Africa', 'Chile', 'Turkey', 'Champagne, France', 'Scotland',\n",
              "       'New Zealand', 'P.R.C.', 'AUSTRILIA', 'Packed in Hong Kong',\n",
              "       'Philippines', 'Gambia', 'Mexico', 'Austria', 'Poland', 'Others',\n",
              "       'Espana', 'PHILIPPINES', 'Republic of Korea',\n",
              "       'JAPAN (SHIZUOKA PREFECTURE)', 'Switzerland', 'Netherlands',\n",
              "       'JAPAN', 'Brazil', 'THAILAND', 'Israel', 'California',\n",
              "       'Made with Australian Oat BranPacked in China', 'Cyprus',\n",
              "       'Indonesian', 'Ireland', 'Puerto Rico', 'Republic of Ireland',\n",
              "       'India', 'Slovenia', 'New zealand', 'NEW ZEALAND', 'KOREA',\n",
              "       'Argentina', 'PRC', 'Czech Republic', 'Packed in Singapore',\n",
              "       'Portugal', 'Fiji', 'Mauritius', 'Gemany', 'Colombia', 'AUSTRALIA',\n",
              "       'Morocco', 'U.S.A.', 'Greece', 'The Netherlands', 'PORTUGAL',\n",
              "       'MOROCCO', 'U.S.A', 'EU', 'Malaysaia', 'china', 'Autralia',\n",
              "       'England', 'Imported From Germany', 'Malasiya', 'hong kong',\n",
              "       'European Union', 'U.S.A.  / Canada', 'austria', 'Armenia',\n",
              "       'Sweden', 'SWITZERLAND', 'Product of IsraelPacked in Hong Kong',\n",
              "       'SWEDEN', 'USA', 'MALAYSIA',\n",
              "       'Product of Turkey Packed in Hong Kong', 'Jamaica',\n",
              "       'Great Britain', 'SCOTLAND',\n",
              "       'Product of Korea, Packed in Hong Kong', 'Holland', 'thailand',\n",
              "       'Korea,Republic Of', 'The Philippines', 'MEXICO', 'Tunisia',\n",
              "       'Myanmar', 'South Africa, China', 'Japan, China', 'USA, China',\n",
              "       'Peru', 'Marlborough, New Zealand', 'Swaziland', 'IRELAND',\n",
              "       'Russia', 'POLAND', 'Product of West Africa, Packed in China',\n",
              "       'Saudi Arabia', 'Iceland', 'America', 'Viet Nam', 'Agentin',\n",
              "       'Seychelles', 'Malayasia', 'Belize', 'Bolivia', 'Hungary',\n",
              "       'Lao Peoples Democratic Republic', 'ireland',\n",
              "       'Mats Made in Italy, Manufactured in Thailand', 'TaiWan',\n",
              "       'Slovenska'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 155
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(pnkdf['Origin'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jxnjRDzQKZxv",
        "outputId": "3ca80204-5971-4382-9c4c-bac7ff50bc82"
      },
      "execution_count": 156,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "145"
            ]
          },
          "metadata": {},
          "execution_count": 156
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualization"
      ],
      "metadata": {
        "id": "m3OQhrXRAy-P"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## HKTVMall"
      ],
      "metadata": {
        "id": "B2y0J27zFwJY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Top 10 number of products in store name and price average"
      ],
      "metadata": {
        "id": "Y4O9p8qxHedf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "brandcount = hktvmalldf[['store_name','name']].groupby(by=['store_name']).count()\n",
        "brandpricemean = hktvmalldf[['store_name','price']].groupby(by=['store_name']).mean()\n",
        "\n",
        "pricecount = pd.merge(brandcount, brandpricemean, on='store_name')\n",
        "pricecountsort = pricecount.sort_values(by='name', ascending=False)[:10]\n",
        "\n",
        "pricecountsort.rename(columns={'name':'count'}, inplace=True)\n",
        "pricecountsort.plot.bar(figsize=(11, 6), rot=90)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lT_96sM6FxkB",
        "outputId": "9b484117-67ae-4e83-f948-2122d69ff03b"
      },
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f814ef74810>"
            ]
          },
          "metadata": {},
          "execution_count": 150
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 22823 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 31530 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 22320 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 35987 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 29356 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 24037 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 25151 missing from current font.\n",
            "  font.set_text(s, 0.0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 22823 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 31530 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 22320 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 35987 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 29356 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 24037 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n",
            "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 25151 missing from current font.\n",
            "  font.set_text(s, 0, flags=flags)\n"
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        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 792x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## ParkNShop"
      ],
      "metadata": {
        "id": "znUYXG1tA1cf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Top 10 brand by number of products"
      ],
      "metadata": {
        "id": "NG-X6cO-JKHi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pnkdf.groupby(by=['brand']).count().sort_values(by=['name'], ascending=False)[:10].plot.pie(y='name', figsize=(22, 12))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 700
        },
        "id": "5DCtInPv6_Tu",
        "outputId": "c295c636-02b8-4a6f-a781-10f5005ff087"
      },
      "execution_count": 159,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f814e3aeb50>"
            ]
          },
          "metadata": {},
          "execution_count": 159
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1584x864 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Top 10 number of products in brand and price average"
      ],
      "metadata": {
        "id": "MMtSVwwlC26P"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "brandcount = pnkdf[['brand','name']].groupby(by=['brand']).count()\n",
        "brandpricemean = pnkdf[['brand','price']].groupby(by=['brand']).mean()\n",
        "\n",
        "pricecount = pd.merge(brandcount, brandpricemean, on='brand')\n",
        "pricecountsort = pricecount.sort_values(by='name', ascending=False)[:10]\n",
        "\n",
        "pricecountsort.rename(columns={'name':'count'}, inplace=True)\n",
        "pricecountsort.plot.bar(figsize=(11, 6), rot=90)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "nJVEE6yiA3pz",
        "outputId": "898c4d62-c6ce-45cb-9568-4a603fbbc270"
      },
      "execution_count": 160,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f814e423850>"
            ]
          },
          "metadata": {},
          "execution_count": 160
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Execrise"
      ],
      "metadata": {
        "id": "xEt9sTKjILSH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Please plot a **pie chart** to the top 10 `Origin` with most products in `pnkdf`."
      ],
      "metadata": {
        "id": "wu1UFEpoJYOY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "jcVbl0NDIKrQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Please plot a **bar chart** to show **product count** and **price average** of the top 10 `Origin` in `pnkdf`."
      ],
      "metadata": {
        "id": "sberijTHJYwA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "wbm0y2z4UZS5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Interactive visualization"
      ],
      "metadata": {
        "id": "-QCeMWjgeTAb"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VvabB8rlAHxv",
        "outputId": "65459154-0fe5-476d-c259-4b325cdc5797"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: altair in /usr/local/lib/python3.7/dist-packages (4.2.0)\n",
            "Requirement already satisfied: vega_datasets in /usr/local/lib/python3.7/dist-packages (0.9.0)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.7/dist-packages (from altair) (2.11.3)\n",
            "Requirement already satisfied: entrypoints in /usr/local/lib/python3.7/dist-packages (from altair) (0.4)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from altair) (1.21.5)\n",
            "Requirement already satisfied: toolz in /usr/local/lib/python3.7/dist-packages (from altair) (0.11.2)\n",
            "Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.7/dist-packages (from altair) (4.3.3)\n",
            "Requirement already satisfied: pandas>=0.18 in /usr/local/lib/python3.7/dist-packages (from altair) (1.3.5)\n",
            "Requirement already satisfied: importlib-resources>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from jsonschema>=3.0->altair) (5.4.0)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from jsonschema>=3.0->altair) (4.11.1)\n",
            "Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.7/dist-packages (from jsonschema>=3.0->altair) (21.4.0)\n",
            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.7/dist-packages (from jsonschema>=3.0->altair) (0.18.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from jsonschema>=3.0->altair) (3.10.0.2)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.7/dist-packages (from importlib-resources>=1.4.0->jsonschema>=3.0->altair) (3.7.0)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.18->altair) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.18->altair) (2018.9)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.18->altair) (1.15.0)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from jinja2->altair) (2.0.1)\n"
          ]
        }
      ],
      "source": [
        "!pip install altair vega_datasets"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "https://altair-viz.github.io\n",
        "\n",
        "![](https://url2img-web.herokuapp.com/aHR0cHM6Ly9hbHRhaXItdml6LmdpdGh1Yi5pby8=)\n",
        "\n",
        "\n",
        "https://altair-viz.github.io/gallery/index.html#interactive-charts\n",
        "![](https://url2img-web.herokuapp.com/aHR0cHM6Ly9hbHRhaXItdml6LmdpdGh1Yi5pby9nYWxsZXJ5L2luZGV4Lmh0bWwjaW50ZXJhY3RpdmUtY2hhcnRz)"
      ],
      "metadata": {
        "id": "e5iLyKAPA3lY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Examples"
      ],
      "metadata": {
        "id": "Yi0-ZLSfNoQp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### ParkNShop brand product count"
      ],
      "metadata": {
        "id": "eU1So9JqOVLJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "brandcount = pnkdf[['brand','name']].groupby(by=['brand'], as_index=False).count().sort_values(by=['name'])"
      ],
      "metadata": {
        "id": "LRFtawfvMIOA"
      },
      "execution_count": 178,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "alt.Chart(brandcount[:30]).mark_bar().encode(\n",
        "    x='brand',\n",
        "    y='name',\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "id": "9Rog-ZoyMffg",
        "outputId": "515d97bd-e387-4646-d906-ff0a07479eb8"
      },
      "execution_count": 183,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alt.Chart(...)"
            ],
            "text/html": [
              "\n",
              "<div id=\"altair-viz-414511ba1c6f47feb2e4aaa0410ff76f\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-414511ba1c6f47feb2e4aaa0410ff76f\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-414511ba1c6f47feb2e4aaa0410ff76f\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function maybeLoadScript(lib, version) {\n",
              "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
              "      return (VEGA_DEBUG[key] == version) ?\n",
              "        Promise.resolve(paths[lib]) :\n",
              "        new Promise(function(resolve, reject) {\n",
              "          var s = document.createElement('script');\n",
              "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "          s.async = true;\n",
              "          s.onload = () => {\n",
              "            VEGA_DEBUG[key] = version;\n",
              "            return resolve(paths[lib]);\n",
              "          };\n",
              "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "          s.src = paths[lib];\n",
              "        });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else {\n",
              "      maybeLoadScript(\"vega\", \"5\")\n",
              "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
              "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-e06465eb2d2126e7bc6b21c734261cf1\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"brand\", \"type\": \"nominal\"}, \"y\": {\"field\": \"name\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-e06465eb2d2126e7bc6b21c734261cf1\": [{\"brand\": \"SELECT\", \"name\": 263}, {\"brand\": \"LEE KUM KEE\", \"name\": 76}, {\"brand\": \"WATSONS\", \"name\": 67}, {\"brand\": \"DEMAE\", \"name\": 65}, {\"brand\": \"BEST BUY\", \"name\": 64}, {\"brand\": \"GARDEN\", \"name\": 62}, {\"brand\": \"COLGATE\", \"name\": 56}, {\"brand\": \"CASINO\", \"name\": 54}, {\"brand\": \"IMP. BANQUET\", \"name\": 54}, {\"brand\": \"VITA\", \"name\": 53}, {\"brand\": \"AMOY\", \"name\": 52}, {\"brand\": \"SAU TAO\", \"name\": 50}, {\"brand\": \"CALBEE\", \"name\": 49}, {\"brand\": \"BANITORE\", \"name\": 49}, {\"brand\": \"ESSENTIAL WAITROSE\", \"name\": 46}, {\"brand\": \"SCOTCH BRITE\", \"name\": 43}, {\"brand\": \"DEL MONTE\", \"name\": 39}, {\"brand\": \"DETTOL\", \"name\": 39}, {\"brand\": \"VITASOY\", \"name\": 38}, {\"brand\": \"VILEDA\", \"name\": 38}, {\"brand\": \"FOUR SEAS\", \"name\": 37}, {\"brand\": \"DOLL\", \"name\": 36}, {\"brand\": \"QUAKER\", \"name\": 35}, {\"brand\": \"KNORR\", \"name\": 33}, {\"brand\": \"TAI KOO\", \"name\": 33}, {\"brand\": \"3M\", \"name\": 33}, {\"brand\": \"PAMPERS\", \"name\": 33}, {\"brand\": \"VINDA\", \"name\": 31}, {\"brand\": \"NESTLE\", \"name\": 30}, {\"brand\": \"KOTEX\", \"name\": 28}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ]
          },
          "metadata": {},
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Interactive average selection"
      ],
      "metadata": {
        "id": "uQ6yyS7fUE5U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import altair as alt\n",
        "from vega_datasets import data\n",
        "\n",
        "source = data.seattle_weather()\n",
        "brush = alt.selection(type='interval', encodings=['x'])\n",
        "\n",
        "bars = alt.Chart().mark_bar().encode(\n",
        "    x='brand',\n",
        "    y='mean(name):Q',\n",
        "    opacity=alt.condition(brush, alt.OpacityValue(1), alt.OpacityValue(0.7)),\n",
        ").add_selection(\n",
        "    brush\n",
        ")\n",
        "\n",
        "line = alt.Chart().mark_rule(color='firebrick').encode(\n",
        "    y='mean(name):Q',\n",
        "    size=alt.SizeValue(3)\n",
        ").transform_filter(\n",
        "    brush\n",
        ")\n",
        "\n",
        "alt.layer(bars, line, data=brandcount[:30])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "id": "A2Ydg6-rJwtD",
        "outputId": "68d5e653-6234-4290-c97f-f85b19df6ad6"
      },
      "execution_count": 184,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alt.LayerChart(...)"
            ],
            "text/html": [
              "\n",
              "<div id=\"altair-viz-fd230620d02741d59c12051fe0557832\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-fd230620d02741d59c12051fe0557832\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-fd230620d02741d59c12051fe0557832\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function maybeLoadScript(lib, version) {\n",
              "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
              "      return (VEGA_DEBUG[key] == version) ?\n",
              "        Promise.resolve(paths[lib]) :\n",
              "        new Promise(function(resolve, reject) {\n",
              "          var s = document.createElement('script');\n",
              "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "          s.async = true;\n",
              "          s.onload = () => {\n",
              "            VEGA_DEBUG[key] = version;\n",
              "            return resolve(paths[lib]);\n",
              "          };\n",
              "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "          s.src = paths[lib];\n",
              "        });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else {\n",
              "      maybeLoadScript(\"vega\", \"5\")\n",
              "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
              "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": \"bar\", \"encoding\": {\"opacity\": {\"condition\": {\"value\": 1, \"selection\": \"selector003\"}, \"value\": 0.7}, \"x\": {\"field\": \"brand\", \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"mean\", \"field\": \"name\", \"type\": \"quantitative\"}}, \"selection\": {\"selector003\": {\"type\": \"interval\", \"encodings\": [\"x\"]}}}, {\"mark\": {\"type\": \"rule\", \"color\": \"firebrick\"}, \"encoding\": {\"size\": {\"value\": 3}, \"y\": {\"aggregate\": \"mean\", \"field\": \"name\", \"type\": \"quantitative\"}}, \"transform\": [{\"filter\": {\"selection\": \"selector003\"}}]}], \"data\": {\"name\": \"data-e06465eb2d2126e7bc6b21c734261cf1\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-e06465eb2d2126e7bc6b21c734261cf1\": [{\"brand\": \"SELECT\", \"name\": 263}, {\"brand\": \"LEE KUM KEE\", \"name\": 76}, {\"brand\": \"WATSONS\", \"name\": 67}, {\"brand\": \"DEMAE\", \"name\": 65}, {\"brand\": \"BEST BUY\", \"name\": 64}, {\"brand\": \"GARDEN\", \"name\": 62}, {\"brand\": \"COLGATE\", \"name\": 56}, {\"brand\": \"CASINO\", \"name\": 54}, {\"brand\": \"IMP. BANQUET\", \"name\": 54}, {\"brand\": \"VITA\", \"name\": 53}, {\"brand\": \"AMOY\", \"name\": 52}, {\"brand\": \"SAU TAO\", \"name\": 50}, {\"brand\": \"CALBEE\", \"name\": 49}, {\"brand\": \"BANITORE\", \"name\": 49}, {\"brand\": \"ESSENTIAL WAITROSE\", \"name\": 46}, {\"brand\": \"SCOTCH BRITE\", \"name\": 43}, {\"brand\": \"DEL MONTE\", \"name\": 39}, {\"brand\": \"DETTOL\", \"name\": 39}, {\"brand\": \"VITASOY\", \"name\": 38}, {\"brand\": \"VILEDA\", \"name\": 38}, {\"brand\": \"FOUR SEAS\", \"name\": 37}, {\"brand\": \"DOLL\", \"name\": 36}, {\"brand\": \"QUAKER\", \"name\": 35}, {\"brand\": \"KNORR\", \"name\": 33}, {\"brand\": \"TAI KOO\", \"name\": 33}, {\"brand\": \"3M\", \"name\": 33}, {\"brand\": \"PAMPERS\", \"name\": 33}, {\"brand\": \"VINDA\", \"name\": 31}, {\"brand\": \"NESTLE\", \"name\": 30}, {\"brand\": \"KOTEX\", \"name\": 28}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ]
          },
          "metadata": {},
          "execution_count": 184
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "POa_bt2zMDmn"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}