rp_x_metadata_2021.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "import scipy.stats\n",
    "import collections\n",
    "import seaborn\n",
    "import statsmodels.stats.proportion\n",
    "import matplotlib\n",
    "\n",
    "seaborn.set_style(\"darkgrid\")\n",
    "plt.rcParams.update({\"font.size\": 24})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_df = pd.read_csv(\"raw_Apr24.csv\", index_col=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Url</th>\n",
       "      <th>Filename</th>\n",
       "      <th>MimeType</th>\n",
       "      <th>CreativeID</th>\n",
       "      <th>Media</th>\n",
       "      <th>Category</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Product</th>\n",
       "      <th>Country</th>\n",
       "      <th>...</th>\n",
       "      <th>age_1</th>\n",
       "      <th>age_2</th>\n",
       "      <th>age_3</th>\n",
       "      <th>age_4</th>\n",
       "      <th>age_5</th>\n",
       "      <th>age_6</th>\n",
       "      <th>age_7</th>\n",
       "      <th>age_8</th>\n",
       "      <th>masculine_faces</th>\n",
       "      <th>feminine_faces</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Creative</td>\n",
       "      <td>https://adintel.portfolio.intl-media.nielsen.c...</td>\n",
       "      <td>1012955614_1.mpg</td>\n",
       "      <td>video/mp4</td>\n",
       "      <td>1012955614</td>\n",
       "      <td>Television</td>\n",
       "      <td>['COSMETICS &amp; TOILETRIES', 'Cosmetics', 'Eye M...</td>\n",
       "      <td>Maybelline</td>\n",
       "      <td>Lash Sensational Sky High mascara</td>\n",
       "      <td>USA</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>213.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Creative</td>\n",
       "      <td>https://adintel.portfolio.intl-media.nielsen.c...</td>\n",
       "      <td>1096386414_1.mpg</td>\n",
       "      <td>video/mp4</td>\n",
       "      <td>1096386414</td>\n",
       "      <td>Television</td>\n",
       "      <td>['COSMETICS &amp; TOILETRIES', 'Skincare Female', ...</td>\n",
       "      <td>CeraVe</td>\n",
       "      <td>female body moisturisers range</td>\n",
       "      <td>USA</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Creative</td>\n",
       "      <td>https://adintel.portfolio.intl-media.nielsen.c...</td>\n",
       "      <td>1135302114_1.mpg</td>\n",
       "      <td>video/mp4</td>\n",
       "      <td>1135302114</td>\n",
       "      <td>Television</td>\n",
       "      <td>['COSMETICS &amp; TOILETRIES', 'Skincare Female', ...</td>\n",
       "      <td>CeraVe</td>\n",
       "      <td>female body moisturisers range</td>\n",
       "      <td>USA</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>176.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Creative</td>\n",
       "      <td>https://adintel.portfolio.intl-media.nielsen.c...</td>\n",
       "      <td>1195194214_1.mp4</td>\n",
       "      <td>video/mpeg</td>\n",
       "      <td>1195194214</td>\n",
       "      <td>Internet</td>\n",
       "      <td>['COSMETICS &amp; TOILETRIES', 'Haircare', 'Hairca...</td>\n",
       "      <td>L'Oreal</td>\n",
       "      <td>haircare corporate</td>\n",
       "      <td>Italy</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>338.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>707.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Creative</td>\n",
       "      <td>https://adintel.portfolio.intl-media.nielsen.c...</td>\n",
       "      <td>1284028214_1.mp4</td>\n",
       "      <td>video/mpeg</td>\n",
       "      <td>1284028214</td>\n",
       "      <td>Internet</td>\n",
       "      <td>['COSMETICS &amp; TOILETRIES', 'Cosmetics', 'Lipst...</td>\n",
       "      <td>Maybelline</td>\n",
       "      <td>Color Sensational Ultimate lipstick</td>\n",
       "      <td>Germany</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 146 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Type                                                Url  \\\n",
       "0  Creative  https://adintel.portfolio.intl-media.nielsen.c...   \n",
       "1  Creative  https://adintel.portfolio.intl-media.nielsen.c...   \n",
       "2  Creative  https://adintel.portfolio.intl-media.nielsen.c...   \n",
       "3  Creative  https://adintel.portfolio.intl-media.nielsen.c...   \n",
       "4  Creative  https://adintel.portfolio.intl-media.nielsen.c...   \n",
       "\n",
       "           Filename    MimeType  CreativeID       Media  \\\n",
       "0  1012955614_1.mpg   video/mp4  1012955614  Television   \n",
       "1  1096386414_1.mpg   video/mp4  1096386414  Television   \n",
       "2  1135302114_1.mpg   video/mp4  1135302114  Television   \n",
       "3  1195194214_1.mp4  video/mpeg  1195194214    Internet   \n",
       "4  1284028214_1.mp4  video/mpeg  1284028214    Internet   \n",
       "\n",
       "                                            Category       Brand  \\\n",
       "0  ['COSMETICS & TOILETRIES', 'Cosmetics', 'Eye M...  Maybelline   \n",
       "1  ['COSMETICS & TOILETRIES', 'Skincare Female', ...      CeraVe   \n",
       "2  ['COSMETICS & TOILETRIES', 'Skincare Female', ...      CeraVe   \n",
       "3  ['COSMETICS & TOILETRIES', 'Haircare', 'Hairca...     L'Oreal   \n",
       "4  ['COSMETICS & TOILETRIES', 'Cosmetics', 'Lipst...  Maybelline   \n",
       "\n",
       "                               Product  Country  ... age_1  age_2  age_3  \\\n",
       "0    Lash Sensational Sky High mascara      USA  ...   0.0   53.0  150.0   \n",
       "1       female body moisturisers range      USA  ...   0.0    0.0   24.0   \n",
       "2       female body moisturisers range      USA  ...   0.0   64.0  211.0   \n",
       "3                   haircare corporate    Italy  ...   5.0  351.0  338.0   \n",
       "4  Color Sensational Ultimate lipstick  Germany  ...   5.0   15.0    0.0   \n",
       "\n",
       "  age_4  age_5  age_6 age_7 age_8 masculine_faces feminine_faces  \n",
       "0  14.0    4.0    0.0   0.0   0.0             8.0          213.0  \n",
       "1  54.0   92.0   29.0   0.0   0.0           115.0           84.0  \n",
       "2  72.0   18.0   26.0   0.0   0.0           215.0          176.0  \n",
       "3  34.0    8.0   10.0   0.0   0.0            39.0          707.0  \n",
       "4   0.0    0.0    0.0   0.0   0.0             0.0           20.0  \n",
       "\n",
       "[5 rows x 146 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Type', 'Url', 'Filename', 'MimeType', 'CreativeID', 'Media',\n",
       "       'Category', 'Brand', 'Product', 'Country', 'Title', 'TransmissionDate',\n",
       "       'InitialChannel', 'Urls', 'Length', 'Version', 'LastRunDate',\n",
       "       'Advertiser', 'AdType', 'Description', 'EndLine', 'cnsPaths',\n",
       "       'frames_analyzed', '(female, [0, 15), [-inf, 1.1))',\n",
       "       '(female, [0, 15), [1.1, 2.1))', '(female, [0, 15), [2.1, 3.1))',\n",
       "       '(female, [0, 15), [3.1, 4.1))', '(female, [0, 15), [4.1, 5.1))',\n",
       "       '(female, [0, 15), [5.1, 6.1))', '(female, [0, 15), [6.1, 7.1))'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.columns[:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1957, 146)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'Creative': 1957})"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"Type\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'video/mp4': 891, 'video/mpeg': 1066})"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"MimeType\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'Television': 891, 'Internet': 1066})"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"Media\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({\"['COSMETICS & TOILETRIES', 'Cosmetics', 'Eye Make Up']\": 163,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Body Moisturiser']\": 2,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Haircare Range/Corporate']\": 326,\n",
       "         \"['COSMETICS & TOILETRIES', 'Cosmetics', 'Lipstick/gloss']\": 73,\n",
       "         \"['COSMETICS & TOILETRIES', 'Cosmetics', 'Face/Foundation']\": 111,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Face Moisturiser Antiage/Antistain']\": 240,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Colourants']\": 190,\n",
       "         \"['COSMETICS & TOILETRIES', 'Toiletries Range', 'Toiletries Range']\": 256,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Face Cleanser General/Wipes']\": 89,\n",
       "         \"['COSMETICS & TOILETRIES', 'Suncare', 'Sun Protection']\": 41,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Facecare Range (Cleanser & Moisturiser)']\": 27,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Unisex', 'Acne/Antibacterial Face Treatments']\": 25,\n",
       "         \"['COSMETICS & TOILETRIES', 'Cosmetics', 'Makeup Range']\": 25,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Shampoo Regular']\": 122,\n",
       "         \"['COSMETICS & TOILETRIES', 'Deodorants & Anti-Perspirants', 'Male Deodorants & Anti-Perspirants']\": 16,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Hair Treatment - Oil/Cream/Mousse/Spray']\": 68,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Face Masks']\": 40,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Unisex', 'Unisex Skincare Range']\": 2,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Face Cleanser Anti-Ageing']\": 6,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Face Moisturiser General']\": 34,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Conditioner']\": 12,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Hair Wash Range']\": 31,\n",
       "         \"['COSMETICS & TOILETRIES', 'Deodorants & Anti-Perspirants', 'Female Deodorants & Anti-Perspirants']\": 4,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Male', 'Male Face Moisturiser General/Facecare Range']\": 14,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Face Cleanser Range']\": 6,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Exfoliator/Bodyscrub']\": 1,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Hair Treatment - Range']\": 3,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Male', 'Male Face Cleansers General/Wipes']\": 2,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Skincare Range (Face & Body)']\": 5,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Unisex', 'Unisex Facecare']\": 6,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Make-up Remover']\": 1,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Shampoo Anti-Dandruff/Anti-Fungal']\": 4,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Hair Treatment - Hair Loss/Wigs (Excluding Clinics)']\": 1,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Male', 'Male Face Moisturiser Anti Ageing']\": 2,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Male', 'Male Skincare Range']\": 1,\n",
       "         \"['COSMETICS & TOILETRIES', 'Cosmetics;Skincare Female', 'Eye Make Up;Female Face Cleanser General/Wipes']\": 2,\n",
       "         \"['COSMETICS & TOILETRIES', 'Skincare Female', 'Female Body Firming/Anti-Cellulite']\": 1,\n",
       "         \"['COSMETICS & TOILETRIES', 'Haircare', 'Hairstyle - Aerosol/Spray']\": 3,\n",
       "         \"['COSMETICS & TOILETRIES', 'Suncare', 'Suncare Range']\": 2})"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"Category\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def simplify_cat(cat):\n",
    "    cat = cat.lower()\n",
    "    if re.search(r\"(moisturiser)|(skincare)|(protection)|(face)|(acne)\", cat):\n",
    "        return \"Skincare\"\n",
    "    elif re.search(r\"(hair)|(shampoo)|(conditioner)\", cat):\n",
    "        return \"Haircare\"\n",
    "    elif re.search(r\"(fragrance)|(deod)\", cat):\n",
    "        return \"Fragrance\"\n",
    "    else:\n",
    "        return \"Makeup\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Toiletries Range\ttoiletries corporate\t424\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\ttoiletries corporate\t212\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tFructis Hair Food haircare range\t52\tMakeup\tHaircare\n",
      "Haircare\tFructis Hair Food haircare range\t52\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Hair Food haircare range\t52\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\thaircare range\t42\tMakeup\tHaircare\n",
      "Haircare\thaircare range\t42\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\thaircare range\t42\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSuperStay Matte Ink lipstick\t41\tMakeup\tMakeup\n",
      "Cosmetics\tSuperStay Matte Ink lipstick\t41\tMakeup\tMakeup\n",
      "Lipstick/gloss\tSuperStay Matte Ink lipstick\t41\tMakeup\tMakeup\n",
      "Toiletries Range\ttoiletries range\t40\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tmicellar water range\t37\tMakeup\tMakeup\n",
      "Skincare Female\tmicellar water range\t37\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tmicellar water range\t37\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tOlia hair colourant\t32\tMakeup\tHaircare\n",
      "Haircare\tOlia hair colourant\t32\tHaircare\tHaircare\n",
      "Colourants\tOlia hair colourant\t32\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Laser female anti-age face moisturiser\t28\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Laser female anti-age face moisturiser\t28\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Laser female anti-age face moisturiser\t28\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tUltra Doux Shampooing Solide shampoo\t23\tMakeup\tHaircare\n",
      "Haircare\tUltra Doux Shampooing Solide shampoo\t23\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltra Doux Shampooing Solide shampoo\t23\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tfemale face mask range\t22\tMakeup\tSkincare\n",
      "Skincare Female\tfemale face mask range\t22\tSkincare\tSkincare\n",
      "Female Face Masks\tfemale face mask range\t22\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tLash Sensational Sky High mascara\t21\tMakeup\tMakeup\n",
      "Cosmetics\tLash Sensational Sky High mascara\t21\tMakeup\tMakeup\n",
      "Eye Make Up\tLash Sensational Sky High mascara\t21\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tGenesis haircare range\t21\tMakeup\tHaircare\n",
      "Haircare\tGenesis haircare range\t21\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tGenesis haircare range\t21\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\ttoiletries range\t20\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tUV Defender sun protection\t18\tMakeup\tSkincare\n",
      "Suncare\tUV Defender sun protection\t18\tMakeup\tSkincare\n",
      "Sun Protection\tUV Defender sun protection\t18\tSkincare\tSkincare\n",
      "Toiletries Range\tMen Expert toiletries range\t18\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\thaircare corporate\t17\tMakeup\tHaircare\n",
      "Haircare\thaircare corporate\t17\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\thaircare corporate\t17\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tInfaillible 24H Fresh Wear foundation\t17\tMakeup\tMakeup\n",
      "Cosmetics\tInfaillible 24H Fresh Wear foundation\t17\tMakeup\tMakeup\n",
      "Face/Foundation\tInfaillible 24H Fresh Wear foundation\t17\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tOlia hair colourant range\t15\tMakeup\tHaircare\n",
      "Haircare\tOlia hair colourant range\t15\tHaircare\tHaircare\n",
      "Colourants\tOlia hair colourant range\t15\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tBlond Absolu Cicaextreme haircare range\t15\tMakeup\tHaircare\n",
      "Haircare\tBlond Absolu Cicaextreme haircare range\t15\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tBlond Absolu Cicaextreme haircare range\t15\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMetal Detox haircare range\t15\tMakeup\tHaircare\n",
      "Haircare\tMetal Detox haircare range\t15\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tMetal Detox haircare range\t15\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tNutrisse Creme hair colourant\t14\tMakeup\tHaircare\n",
      "Haircare\tNutrisse Creme hair colourant\t14\tHaircare\tHaircare\n",
      "Colourants\tNutrisse Creme hair colourant\t14\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tDream Length Wonder Water hair treatment cream\t14\tMakeup\tHaircare\n",
      "Haircare\tDream Length Wonder Water hair treatment cream\t14\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tDream Length Wonder Water hair treatment cream\t14\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive Olio Straordinario haircare range\t14\tMakeup\tHaircare\n",
      "Haircare\tElvive Olio Straordinario haircare range\t14\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Olio Straordinario haircare range\t14\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tWahre Schatze haircare range\t14\tMakeup\tHaircare\n",
      "Haircare\tWahre Schatze haircare range\t14\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tWahre Schatze haircare range\t14\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tLash Paradise mascara\t14\tMakeup\tMakeup\n",
      "Cosmetics\tLash Paradise mascara\t14\tMakeup\tMakeup\n",
      "Eye Make Up\tLash Paradise mascara\t14\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Acido Ialuronico] female antiage face moisturiser\t13\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Acido Ialuronico] female antiage face moisturiser\t13\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Acido Ialuronico] female antiage face moisturiser\t13\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tmakeup range\t13\tMakeup\tMakeup\n",
      "Cosmetics\tmakeup range\t13\tMakeup\tMakeup\n",
      "Makeup Range\tmakeup range\t13\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tCasting Creme Gloss hair colourant\t13\tMakeup\tHaircare\n",
      "Haircare\tCasting Creme Gloss hair colourant\t13\tHaircare\tHaircare\n",
      "Colourants\tCasting Creme Gloss hair colourant\t13\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive Dream Long haircare range\t13\tMakeup\tHaircare\n",
      "Haircare\tElvive Dream Long haircare range\t13\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Dream Long haircare range\t13\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAmbre Solaire Sensitive Expert+ sun protection\t13\tMakeup\tSkincare\n",
      "Suncare\tAmbre Solaire Sensitive Expert+ sun protection\t13\tMakeup\tSkincare\n",
      "Sun Protection\tAmbre Solaire Sensitive Expert+ sun protection\t13\tSkincare\tSkincare\n",
      "Toiletries Range\ttoiletries sponsorship\t12\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Color-Vive Purple shampoo\t12\tMakeup\tHaircare\n",
      "Haircare\tElvive Color-Vive Purple shampoo\t12\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvive Color-Vive Purple shampoo\t12\tHaircare\tHaircare\n",
      "Toiletries Range\tUltra Dolce toiletries range\t12\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAir Volume Mega mascara\t11\tMakeup\tMakeup\n",
      "Cosmetics\tAir Volume Mega mascara\t11\tMakeup\tMakeup\n",
      "Eye Make Up\tAir Volume Mega mascara\t11\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tMagic Retouch hair colourant\t11\tMakeup\tHaircare\n",
      "Haircare\tMagic Retouch hair colourant\t11\tHaircare\tHaircare\n",
      "Colourants\tMagic Retouch hair colourant\t11\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Pro-Collagen antiage female face moisturiser\t11\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Pro-Collagen antiage female face moisturiser\t11\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Pro-Collagen antiage female face moisturiser\t11\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\teye make up range\t11\tMakeup\tMakeup\n",
      "Cosmetics\teye make up range\t11\tMakeup\tMakeup\n",
      "Eye Make Up\teye make up range\t11\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tSky High Curves mascara\t10\tMakeup\tMakeup\n",
      "Cosmetics\tSky High Curves mascara\t10\tMakeup\tMakeup\n",
      "Eye Make Up\tSky High Curves mascara\t10\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tPreference hair colourant range\t10\tMakeup\tHaircare\n",
      "Haircare\tPreference hair colourant range\t10\tHaircare\tHaircare\n",
      "Colourants\tPreference hair colourant range\t10\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tSuper Stay Active Wear foundation\t10\tMakeup\tMakeup\n",
      "Cosmetics\tSuper Stay Active Wear foundation\t10\tMakeup\tMakeup\n",
      "Face/Foundation\tSuper Stay Active Wear foundation\t10\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen AcnoFight acne treatment\t10\tMakeup\tSkincare\n",
      "Skincare Unisex\tMen AcnoFight acne treatment\t10\tSkincare\tSkincare\n",
      "Acne/Antibacterial Face Treatments\tMen AcnoFight acne treatment\t10\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tOriginal Remedies haircare range\t10\tMakeup\tHaircare\n",
      "Haircare\tOriginal Remedies haircare range\t10\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tOriginal Remedies haircare range\t10\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tLifter lip gloss\t10\tMakeup\tMakeup\n",
      "Cosmetics\tLifter lip gloss\t10\tMakeup\tMakeup\n",
      "Lipstick/gloss\tLifter lip gloss\t10\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAge Perfect Cell Renewal Midnight Serum female antiage face moisturiser\t10\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Cell Renewal Midnight Serum female antiage face moisturiser\t10\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Cell Renewal Midnight Serum female antiage face moisturiser\t10\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Laser X3 female antiage face moisturiser range\t10\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Laser X3 female antiage face moisturiser range\t10\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Laser X3 female antiage face moisturiser range\t10\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvive Total Repair 5 haircare range\t10\tMakeup\tHaircare\n",
      "Haircare\tElvive Total Repair 5 haircare range\t10\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Total Repair 5 haircare range\t10\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Laser female anti-age face moisturiser range\t10\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Laser female anti-age face moisturiser range\t10\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Laser female anti-age face moisturiser range\t10\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAge Perfect female facecare range\t9\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect female facecare range\t9\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tAge Perfect female facecare range\t9\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tmakeup corporate\t9\tMakeup\tMakeup\n",
      "Cosmetics\tmakeup corporate\t9\tMakeup\tMakeup\n",
      "Makeup Range\tmakeup corporate\t9\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tfemale facecare range\t9\tMakeup\tSkincare\n",
      "Skincare Female\tfemale facecare range\t9\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tfemale facecare range\t9\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFructis Hair Food shampoo\t9\tMakeup\tHaircare\n",
      "Haircare\tFructis Hair Food shampoo\t9\tHaircare\tHaircare\n",
      "Shampoo Regular\tFructis Hair Food shampoo\t9\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMen Expert toiletries range\t9\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tRitocco Perfetto Precision hair colourant\t9\tMakeup\tHaircare\n",
      "Haircare\tRitocco Perfetto Precision hair colourant\t9\tHaircare\tHaircare\n",
      "Colourants\tRitocco Perfetto Precision hair colourant\t9\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis Hair Food hair treatment cream\t9\tMakeup\tHaircare\n",
      "Haircare\tFructis Hair Food hair treatment cream\t9\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFructis Hair Food hair treatment cream\t9\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\teye makeup range\t8\tMakeup\tMakeup\n",
      "Cosmetics\teye makeup range\t8\tMakeup\tMakeup\n",
      "Eye Make Up\teye makeup range\t8\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tSuperStay 30H foundation\t8\tMakeup\tMakeup\n",
      "Cosmetics\tSuperStay 30H foundation\t8\tMakeup\tMakeup\n",
      "Face/Foundation\tSuperStay 30H foundation\t8\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tBright Complete acne face treatment\t8\tMakeup\tSkincare\n",
      "Skincare Unisex\tBright Complete acne face treatment\t8\tSkincare\tSkincare\n",
      "Acne/Antibacterial Face Treatments\tBright Complete acne face treatment\t8\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvive Dream Long Wonder Water hair treatment cream\t8\tMakeup\tHaircare\n",
      "Haircare\tElvive Dream Long Wonder Water hair treatment cream\t8\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElvive Dream Long Wonder Water hair treatment cream\t8\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tExcellence Creme hair colourant\t8\tMakeup\tHaircare\n",
      "Haircare\tExcellence Creme hair colourant\t8\tHaircare\tHaircare\n",
      "Colourants\tExcellence Creme hair colourant\t8\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tExcellence Cool Creme hair colourant\t8\tMakeup\tHaircare\n",
      "Haircare\tExcellence Cool Creme hair colourant\t8\tHaircare\tHaircare\n",
      "Colourants\tExcellence Cool Creme hair colourant\t8\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tUltimate Blends shampoo\t8\tMakeup\tHaircare\n",
      "Haircare\tUltimate Blends shampoo\t8\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltimate Blends shampoo\t8\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMicellar Rose micellar water\t7\tMakeup\tMakeup\n",
      "Skincare Female\tMicellar Rose micellar water\t7\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tMicellar Rose micellar water\t7\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tObao Tattoo male deodorant\t7\tMakeup\tFragrance\n",
      "Deodorants & Anti-Perspirants\tObao Tattoo male deodorant\t7\tFragrance\tFragrance\n",
      "Male Deodorants & Anti-Perspirants\tObao Tattoo male deodorant\t7\tFragrance\tFragrance\n",
      "COSMETICS & TOILETRIES\tElvital Full Resist haircare range\t7\tMakeup\tHaircare\n",
      "Haircare\tElvital Full Resist haircare range\t7\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvital Full Resist haircare range\t7\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Laser X3 female anti-age face moisturiser\t7\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Laser X3 female anti-age face moisturiser\t7\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Laser X3 female anti-age face moisturiser\t7\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tLight Complete Booster Serum female face moisturiser\t7\tMakeup\tSkincare\n",
      "Skincare Female\tLight Complete Booster Serum female face moisturiser\t7\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tLight Complete Booster Serum female face moisturiser\t7\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler female antiage face moisturiser\t7\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler female antiage face moisturiser\t7\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler female antiage face moisturiser\t7\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+1.5% Hyaluronic Acid Serum] female antiage face moisturiser\t7\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+1.5% Hyaluronic Acid Serum] female antiage face moisturiser\t7\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+1.5% Hyaluronic Acid Serum] female antiage face moisturiser\t7\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift 1.5% Acido Hialuronico female antiage face moisturiser\t7\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift 1.5% Acido Hialuronico female antiage face moisturiser\t7\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift 1.5% Acido Hialuronico female antiage face moisturiser\t7\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAccord Parfait foundation range\t7\tMakeup\tMakeup\n",
      "Cosmetics\tAccord Parfait foundation range\t7\tMakeup\tMakeup\n",
      "Face/Foundation\tAccord Parfait foundation range\t7\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\t12H BB cream\t7\tMakeup\tMakeup\n",
      "Skincare Female\t12H BB cream\t7\tSkincare\tMakeup\n",
      "Female Face Moisturiser Antiage/Antistain\t12H BB cream\t7\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tPreference hair colourant\t6\tMakeup\tHaircare\n",
      "Haircare\tPreference hair colourant\t6\tHaircare\tHaircare\n",
      "Colourants\tPreference hair colourant\t6\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tBB cream\t6\tMakeup\tMakeup\n",
      "Skincare Female\tBB cream\t6\tSkincare\tMakeup\n",
      "Female Face Moisturiser Antiage/Antistain\tBB cream\t6\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\ttoiletries sponsorship\t6\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tCurl Manifesto haircare range\t6\tMakeup\tHaircare\n",
      "Haircare\tCurl Manifesto haircare range\t6\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tCurl Manifesto haircare range\t6\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis Hydra Ricci haircare range\t6\tMakeup\tHaircare\n",
      "Haircare\tFructis Hydra Ricci haircare range\t6\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Hydra Ricci haircare range\t6\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Zell-Renaissance female antiage face moisturiser\t6\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Zell-Renaissance female antiage face moisturiser\t6\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Zell-Renaissance female antiage face moisturiser\t6\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tColor Naturals hair colourant\t6\tMakeup\tHaircare\n",
      "Haircare\tColor Naturals hair colourant\t6\tHaircare\tHaircare\n",
      "Colourants\tColor Naturals hair colourant\t6\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tLight Complete Foam female facial wash\t6\tMakeup\tMakeup\n",
      "Skincare Female\tLight Complete Foam female facial wash\t6\tSkincare\tMakeup\n",
      "Female Face Cleanser Anti-Ageing\tLight Complete Foam female facial wash\t6\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tRevitalift Crystal Micro-Essence female antiage face moisturiser\t6\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Crystal Micro-Essence female antiage face moisturiser\t6\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Crystal Micro-Essence female antiage face moisturiser\t6\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAll-in-1 micellar water\t6\tMakeup\tMakeup\n",
      "Skincare Female\tAll-in-1 micellar water\t6\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tAll-in-1 micellar water\t6\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tVolume Million Lashes Balm Noir mascara\t6\tMakeup\tMakeup\n",
      "Cosmetics\tVolume Million Lashes Balm Noir mascara\t6\tMakeup\tMakeup\n",
      "Eye Make Up\tVolume Million Lashes Balm Noir mascara\t6\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tRevitalift Derm Intensives Hyaluronic Acid female antiage face moisturiser\t6\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Derm Intensives Hyaluronic Acid female antiage face moisturiser\t6\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Derm Intensives Hyaluronic Acid female antiage face moisturiser\t6\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tOriginal Remedies solid shampoo\t6\tMakeup\tHaircare\n",
      "Haircare\tOriginal Remedies solid shampoo\t6\tHaircare\tHaircare\n",
      "Shampoo Regular\tOriginal Remedies solid shampoo\t6\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tLeColor Gloss hair colourant\t6\tMakeup\tHaircare\n",
      "Haircare\tLeColor Gloss hair colourant\t6\tHaircare\tHaircare\n",
      "Colourants\tLeColor Gloss hair colourant\t6\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tmascara range\t6\tMakeup\tMakeup\n",
      "Cosmetics\tmascara range\t6\tMakeup\tMakeup\n",
      "Eye Make Up\tmascara range\t6\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tExpress Brow Satin Duo eye brow pencil\t6\tMakeup\tMakeup\n",
      "Cosmetics\tExpress Brow Satin Duo eye brow pencil\t6\tMakeup\tMakeup\n",
      "Eye Make Up\tExpress Brow Satin Duo eye brow pencil\t6\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAge Perfect female anti-age face moisturiser range\t6\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect female anti-age face moisturiser range\t6\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect female anti-age face moisturiser range\t6\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tWahre Schatze Festes shampoo\t6\tMakeup\tHaircare\n",
      "Haircare\tWahre Schatze Festes shampoo\t6\tHaircare\tHaircare\n",
      "Shampoo Regular\tWahre Schatze Festes shampoo\t6\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMagic Root Cover Up hair colourant\t6\tMakeup\tHaircare\n",
      "Haircare\tMagic Root Cover Up hair colourant\t6\tHaircare\tHaircare\n",
      "Colourants\tMagic Root Cover Up hair colourant\t6\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tFit Me! Matte+Poreless foundation\t6\tMakeup\tMakeup\n",
      "Cosmetics\tFit Me! Matte+Poreless foundation\t6\tMakeup\tMakeup\n",
      "Face/Foundation\tFit Me! Matte+Poreless foundation\t6\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tFructis Nutri Rizos haircare range\t6\tMakeup\tHaircare\n",
      "Haircare\tFructis Nutri Rizos haircare range\t6\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Nutri Rizos haircare range\t6\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tUltra Doux shampoo\t6\tMakeup\tHaircare\n",
      "Haircare\tUltra Doux shampoo\t6\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltra Doux shampoo\t6\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tUltra Dolce toiletries range\t6\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tVolume Million Lashes mascara\t5\tMakeup\tMakeup\n",
      "Cosmetics\tVolume Million Lashes mascara\t5\tMakeup\tMakeup\n",
      "Eye Make Up\tVolume Million Lashes mascara\t5\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tBambi Eye mascara range\t5\tMakeup\tMakeup\n",
      "Cosmetics\tBambi Eye mascara range\t5\tMakeup\tMakeup\n",
      "Eye Make Up\tBambi Eye mascara range\t5\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tBright Complete Booster Serum female anti-stain face moisturiser\t5\tMakeup\tSkincare\n",
      "Skincare Female\tBright Complete Booster Serum female anti-stain face moisturiser\t5\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tBright Complete Booster Serum female anti-stain face moisturiser\t5\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvive Dream Lengths Wonder Water hair conditioner\t5\tMakeup\tHaircare\n",
      "Haircare\tElvive Dream Lengths Wonder Water hair conditioner\t5\tHaircare\tHaircare\n",
      "Conditioner\tElvive Dream Lengths Wonder Water hair conditioner\t5\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAir Volume mascara\t5\tMakeup\tMakeup\n",
      "Cosmetics\tAir Volume mascara\t5\tMakeup\tMakeup\n",
      "Eye Make Up\tAir Volume mascara\t5\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tfemale face cleanser range\t5\tMakeup\tSkincare\n",
      "Skincare Female\tfemale face cleanser range\t5\tSkincare\tSkincare\n",
      "Female Face Cleanser Range\tfemale face cleanser range\t5\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tBlond Absolu haircare range\t5\tMakeup\tHaircare\n",
      "Haircare\tBlond Absolu haircare range\t5\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tBlond Absolu haircare range\t5\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tInfallible 24H Fresh Wear foundation\t5\tMakeup\tMakeup\n",
      "Cosmetics\tInfallible 24H Fresh Wear foundation\t5\tMakeup\tMakeup\n",
      "Face/Foundation\tInfallible 24H Fresh Wear foundation\t5\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tAgua Micellar En Aceite micellar water\t5\tMakeup\tMakeup\n",
      "Skincare Female\tAgua Micellar En Aceite micellar water\t5\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tAgua Micellar En Aceite micellar water\t5\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tFructis Oil Repair 3 haircare range\t5\tMakeup\tHaircare\n",
      "Haircare\tFructis Oil Repair 3 haircare range\t5\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Oil Repair 3 haircare range\t5\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvital Color-Glanz hairwash range\t5\tMakeup\tHaircare\n",
      "Haircare\tElvital Color-Glanz hairwash range\t5\tHaircare\tHaircare\n",
      "Hair Wash Range\tElvital Color-Glanz hairwash range\t5\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift female skincare range\t5\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift female skincare range\t5\tSkincare\tSkincare\n",
      "Female Skincare Range (Face & Body)\tRevitalift female skincare range\t5\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tInfalible foundation\t5\tMakeup\tMakeup\n",
      "Cosmetics\tInfalible foundation\t5\tMakeup\tMakeup\n",
      "Face/Foundation\tInfalible foundation\t5\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert Carbon Protect 5 In 1 male deodorant\t5\tMakeup\tFragrance\n",
      "Deodorants & Anti-Perspirants\tMen Expert Carbon Protect 5 In 1 male deodorant\t5\tFragrance\tFragrance\n",
      "Male Deodorants & Anti-Perspirants\tMen Expert Carbon Protect 5 In 1 male deodorant\t5\tFragrance\tFragrance\n",
      "COSMETICS & TOILETRIES\tElvive Dream Lengths shampoo\t5\tMakeup\tHaircare\n",
      "Haircare\tElvive Dream Lengths shampoo\t5\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvive Dream Lengths shampoo\t5\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Hyaluronic Acid] female antiage face moisturiser\t5\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Hyaluronic Acid] female antiage face moisturiser\t5\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Hyaluronic Acid] female antiage face moisturiser\t5\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tInfaillible foundation range\t5\tMakeup\tMakeup\n",
      "Cosmetics\tInfaillible foundation range\t5\tMakeup\tMakeup\n",
      "Face/Foundation\tInfaillible foundation range\t5\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tEverPure haircare range\t4\tMakeup\tHaircare\n",
      "Haircare\tEverPure haircare range\t4\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tEverPure haircare range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMen Expert One-Twist hair colourant\t4\tMakeup\tHaircare\n",
      "Haircare\tMen Expert One-Twist hair colourant\t4\tHaircare\tHaircare\n",
      "Colourants\tMen Expert One-Twist hair colourant\t4\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Hyaluronsaure] female anti-age face moisturiser\t4\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Hyaluronsaure] female anti-age face moisturiser\t4\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Hyaluronsaure] female anti-age face moisturiser\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tExcellence hair colourant range\t4\tMakeup\tHaircare\n",
      "Haircare\tExcellence hair colourant range\t4\tHaircare\tHaircare\n",
      "Colourants\tExcellence hair colourant range\t4\tMakeup\tHaircare\n",
      "Toiletries Range\tMen Expert Barber Club toiletries range\t4\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Hidra [Hialuronico] haircare range\t4\tMakeup\tHaircare\n",
      "Haircare\tElvive Hidra [Hialuronico] haircare range\t4\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Hidra [Hialuronico] haircare range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSerum female face mask\t4\tMakeup\tSkincare\n",
      "Skincare Female\tSerum female face mask\t4\tSkincare\tSkincare\n",
      "Female Face Masks\tSerum female face mask\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSakura White Booster Serum female face moisturiser\t4\tMakeup\tSkincare\n",
      "Skincare Female\tSakura White Booster Serum female face moisturiser\t4\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tSakura White Booster Serum female face moisturiser\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tBambi Eye Oversize mascara\t4\tMakeup\tMakeup\n",
      "Cosmetics\tBambi Eye Oversize mascara\t4\tMakeup\tMakeup\n",
      "Eye Make Up\tBambi Eye Oversize mascara\t4\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tBlond Absolu hairwash range\t4\tMakeup\tHaircare\n",
      "Haircare\tBlond Absolu hairwash range\t4\tHaircare\tHaircare\n",
      "Hair Wash Range\tBlond Absolu hairwash range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tHautklar 3 In 1 Kohle acne treatment\t4\tMakeup\tSkincare\n",
      "Skincare Unisex\tHautklar 3 In 1 Kohle acne treatment\t4\tSkincare\tSkincare\n",
      "Acne/Antibacterial Face Treatments\tHautklar 3 In 1 Kohle acne treatment\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMen Expert Hydra Energetic Anti-Fatigue 24H male face moisturiser\t4\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert Hydra Energetic Anti-Fatigue 24H male face moisturiser\t4\tSkincare\tSkincare\n",
      "Male Face Moisturiser General/Facecare Range\tMen Expert Hydra Energetic Anti-Fatigue 24H male face moisturiser\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tLash Sensational mascara\t4\tMakeup\tMakeup\n",
      "Cosmetics\tLash Sensational mascara\t4\tMakeup\tMakeup\n",
      "Eye Make Up\tLash Sensational mascara\t4\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvital Color-Glanz Purple hairwash range\t4\tMakeup\tHaircare\n",
      "Haircare\tElvital Color-Glanz Purple hairwash range\t4\tHaircare\tHaircare\n",
      "Hair Wash Range\tElvital Color-Glanz Purple hairwash range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Hyaluronsaure] female antiage face moisturiser\t4\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Hyaluronsaure] female antiage face moisturiser\t4\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Hyaluronsaure] female antiage face moisturiser\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\thair colourant range\t4\tMakeup\tHaircare\n",
      "Haircare\thair colourant range\t4\tHaircare\tHaircare\n",
      "Colourants\thair colourant range\t4\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tElseve Longo Dos Sonhos haircare range\t4\tMakeup\tHaircare\n",
      "Haircare\tElseve Longo Dos Sonhos haircare range\t4\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Longo Dos Sonhos haircare range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMicellar Cleansing Vitamin C micellar water\t4\tMakeup\tMakeup\n",
      "Skincare Female\tMicellar Cleansing Vitamin C micellar water\t4\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tMicellar Cleansing Vitamin C micellar water\t4\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tChronologiste haircare range\t4\tMakeup\tHaircare\n",
      "Haircare\tChronologiste haircare range\t4\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tChronologiste haircare range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tWahre Schatze shampoo bar range\t4\tMakeup\tHaircare\n",
      "Haircare\tWahre Schatze shampoo bar range\t4\tHaircare\tHaircare\n",
      "Shampoo Regular\tWahre Schatze shampoo bar range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tGreen Labs Brightening Serum Cream female face moisturiser\t4\tMakeup\tSkincare\n",
      "Skincare Female\tGreen Labs Brightening Serum Cream female face moisturiser\t4\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tGreen Labs Brightening Serum Cream female face moisturiser\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Hyaluronic Acid] Replumping female antiage face moisturiser\t4\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Hyaluronic Acid] Replumping female antiage face moisturiser\t4\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Hyaluronic Acid] Replumping female antiage face moisturiser\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvital Dream Length Wonder Water hair conditioner\t4\tMakeup\tHaircare\n",
      "Haircare\tElvital Dream Length Wonder Water hair conditioner\t4\tHaircare\tHaircare\n",
      "Conditioner\tElvital Dream Length Wonder Water hair conditioner\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSakura White Whip female face wash\t4\tMakeup\tSkincare\n",
      "Skincare Female\tSakura White Whip female face wash\t4\tSkincare\tSkincare\n",
      "Female Face Cleanser General/Wipes\tSakura White Whip female face wash\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFructis Hydra Ricci Air-Dry Cream haircare range\t4\tMakeup\tHaircare\n",
      "Haircare\tFructis Hydra Ricci Air-Dry Cream haircare range\t4\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Hydra Ricci Air-Dry Cream haircare range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tTattoo Brow eyebrow liner\t4\tMakeup\tMakeup\n",
      "Cosmetics\tTattoo Brow eyebrow liner\t4\tMakeup\tMakeup\n",
      "Eye Make Up\tTattoo Brow eyebrow liner\t4\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler female anti-age face moisturiser range\t4\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler female anti-age face moisturiser range\t4\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler female anti-age face moisturiser range\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tOrganic Rosy Glow 3in1 female face moisturiser\t4\tMakeup\tSkincare\n",
      "Skincare Female\tOrganic Rosy Glow 3in1 female face moisturiser\t4\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tOrganic Rosy Glow 3in1 female face moisturiser\t4\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tCurl Manifesto hairwash range\t4\tMakeup\tHaircare\n",
      "Haircare\tCurl Manifesto hairwash range\t4\tHaircare\tHaircare\n",
      "Hair Wash Range\tCurl Manifesto hairwash range\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tBrilliant Signature lipstick\t4\tMakeup\tMakeup\n",
      "Cosmetics\tBrilliant Signature lipstick\t4\tMakeup\tMakeup\n",
      "Lipstick/gloss\tBrilliant Signature lipstick\t4\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tPerfect Match foundation range\t4\tMakeup\tMakeup\n",
      "Cosmetics\tPerfect Match foundation range\t4\tMakeup\tMakeup\n",
      "Face/Foundation\tPerfect Match foundation range\t4\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tInfalible 24h foundation\t4\tMakeup\tMakeup\n",
      "Cosmetics\tInfalible 24h foundation\t4\tMakeup\tMakeup\n",
      "Face/Foundation\tInfalible 24h foundation\t4\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tUltra Doux L'Huile Merveilleuse hair treatment oil\t4\tMakeup\tHaircare\n",
      "Haircare\tUltra Doux L'Huile Merveilleuse hair treatment oil\t4\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tUltra Doux L'Huile Merveilleuse hair treatment oil\t4\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tBelle Color hair colourant\t4\tMakeup\tHaircare\n",
      "Haircare\tBelle Color hair colourant\t4\tHaircare\tHaircare\n",
      "Colourants\tBelle Color hair colourant\t4\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tColor Sensational Ultimate lipstick\t3\tMakeup\tMakeup\n",
      "Cosmetics\tColor Sensational Ultimate lipstick\t3\tMakeup\tMakeup\n",
      "Lipstick/gloss\tColor Sensational Ultimate lipstick\t3\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tRevitalift Crystal Fresh Hydrating female antiage face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Crystal Fresh Hydrating female antiage face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Crystal Fresh Hydrating female antiage face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tTattoo Studio Smokey Gel Pencil eyeliner\t3\tMakeup\tMakeup\n",
      "Cosmetics\tTattoo Studio Smokey Gel Pencil eyeliner\t3\tMakeup\tMakeup\n",
      "Eye Make Up\tTattoo Studio Smokey Gel Pencil eyeliner\t3\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tExpress Aclara female anti-stain face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tExpress Aclara female anti-stain face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tExpress Aclara female anti-stain face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tBrow Artist eye makeup\t3\tMakeup\tMakeup\n",
      "Cosmetics\tBrow Artist eye makeup\t3\tMakeup\tMakeup\n",
      "Eye Make Up\tBrow Artist eye makeup\t3\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAccord Parfait Nude foundation\t3\tMakeup\tMakeup\n",
      "Cosmetics\tAccord Parfait Nude foundation\t3\tMakeup\tMakeup\n",
      "Face/Foundation\tAccord Parfait Nude foundation\t3\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElseve Dream Long Soin Magique hair treatment cream\t3\tMakeup\tHaircare\n",
      "Haircare\tElseve Dream Long Soin Magique hair treatment cream\t3\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElseve Dream Long Soin Magique hair treatment cream\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSakura Serum female face mask\t3\tMakeup\tSkincare\n",
      "Skincare Female\tSakura Serum female face mask\t3\tSkincare\tSkincare\n",
      "Female Face Masks\tSakura Serum female face mask\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSpecifique Potentialiste hair treatment\t3\tMakeup\tHaircare\n",
      "Haircare\tSpecifique Potentialiste hair treatment\t3\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tSpecifique Potentialiste hair treatment\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Pressed Night Cream female antiage face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Pressed Night Cream female antiage face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Pressed Night Cream female antiage face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tHydra Bomb female face mask\t3\tMakeup\tSkincare\n",
      "Skincare Female\tHydra Bomb female face mask\t3\tSkincare\tSkincare\n",
      "Female Face Masks\tHydra Bomb female face mask\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tUltimate Blends Hair Food shampoo\t3\tMakeup\tHaircare\n",
      "Haircare\tUltimate Blends Hair Food shampoo\t3\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltimate Blends Hair Food shampoo\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tUltimate Blends Hair Food haircare range\t3\tMakeup\tHaircare\n",
      "Haircare\tUltimate Blends Hair Food haircare range\t3\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tUltimate Blends Hair Food haircare range\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tObao Ritual Natural female deodorant range\t3\tMakeup\tFragrance\n",
      "Deodorants & Anti-Perspirants\tObao Ritual Natural female deodorant range\t3\tFragrance\tFragrance\n",
      "Female Deodorants & Anti-Perspirants\tObao Ritual Natural female deodorant range\t3\tFragrance\tFragrance\n",
      "COSMETICS & TOILETRIES\tBambi Oversized Eye mascara\t3\tMakeup\tMakeup\n",
      "Cosmetics\tBambi Oversized Eye mascara\t3\tMakeup\tMakeup\n",
      "Eye Make Up\tBambi Oversized Eye mascara\t3\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAmpoule Sheet female face mask\t3\tMakeup\tSkincare\n",
      "Skincare Female\tAmpoule Sheet female face mask\t3\tSkincare\tSkincare\n",
      "Female Face Masks\tAmpoule Sheet female face mask\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvive Full Resist haircare range\t3\tMakeup\tHaircare\n",
      "Haircare\tElvive Full Resist haircare range\t3\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Full Resist haircare range\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive Color-Vive hairwash range\t3\tMakeup\tHaircare\n",
      "Haircare\tElvive Color-Vive hairwash range\t3\tHaircare\tHaircare\n",
      "Hair Wash Range\tElvive Color-Vive hairwash range\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFalsies Lash Lift mascara\t3\tMakeup\tMakeup\n",
      "Cosmetics\tFalsies Lash Lift mascara\t3\tMakeup\tMakeup\n",
      "Eye Make Up\tFalsies Lash Lift mascara\t3\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tFrench Balayage hair colourant\t3\tMakeup\tHaircare\n",
      "Haircare\tFrench Balayage hair colourant\t3\tHaircare\tHaircare\n",
      "Colourants\tFrench Balayage hair colourant\t3\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Laser 3X female anti-age face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Laser 3X female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Laser 3X female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tTrue Match foundation\t3\tMakeup\tMakeup\n",
      "Cosmetics\tTrue Match foundation\t3\tMakeup\tMakeup\n",
      "Face/Foundation\tTrue Match foundation\t3\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tTattoo Liner eye liner\t3\tMakeup\tMakeup\n",
      "Cosmetics\tTattoo Liner eye liner\t3\tMakeup\tMakeup\n",
      "Eye Make Up\tTattoo Liner eye liner\t3\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert Hydra Energy Anti-Mudigkeit male anti-ageing face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert Hydra Energy Anti-Mudigkeit male anti-ageing face moisturiser\t3\tSkincare\tSkincare\n",
      "Male Face Moisturiser General/Facecare Range\tMen Expert Hydra Energy Anti-Mudigkeit male anti-ageing face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tColour Riche lipstick\t3\tMakeup\tMakeup\n",
      "Cosmetics\tColour Riche lipstick\t3\tMakeup\tMakeup\n",
      "Lipstick/gloss\tColour Riche lipstick\t3\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tHydra Bomb female anti-age face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tHydra Bomb female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tHydra Bomb female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFructis Fuerza & Brillo hairwash range\t3\tMakeup\tHaircare\n",
      "Haircare\tFructis Fuerza & Brillo hairwash range\t3\tHaircare\tHaircare\n",
      "Hair Wash Range\tFructis Fuerza & Brillo hairwash range\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMen Expert Hydra Energetic male face moisturiser range\t3\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert Hydra Energetic male face moisturiser range\t3\tSkincare\tSkincare\n",
      "Male Face Moisturiser General/Facecare Range\tMen Expert Hydra Energetic male face moisturiser range\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFit Me! foundation\t3\tMakeup\tMakeup\n",
      "Cosmetics\tFit Me! foundation\t3\tMakeup\tMakeup\n",
      "Face/Foundation\tFit Me! foundation\t3\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tUltra Dolce shampoo\t3\tMakeup\tHaircare\n",
      "Haircare\tUltra Dolce shampoo\t3\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltra Dolce shampoo\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive Color-Vive Mas Que Un Champu shampoo\t3\tMakeup\tHaircare\n",
      "Haircare\tElvive Color-Vive Mas Que Un Champu shampoo\t3\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvive Color-Vive Mas Que Un Champu shampoo\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvital shampoo range\t3\tMakeup\tHaircare\n",
      "Haircare\tElvital shampoo range\t3\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvital shampoo range\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect BB cream\t3\tMakeup\tMakeup\n",
      "Skincare Female\tAge Perfect BB cream\t3\tSkincare\tMakeup\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect BB cream\t3\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tOriginal Remedies shampoo\t3\tMakeup\tHaircare\n",
      "Haircare\tOriginal Remedies shampoo\t3\tHaircare\tHaircare\n",
      "Shampoo Regular\tOriginal Remedies shampoo\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAmbre Solaire Super sun protection\t3\tMakeup\tSkincare\n",
      "Suncare\tAmbre Solaire Super sun protection\t3\tMakeup\tSkincare\n",
      "Sun Protection\tAmbre Solaire Super sun protection\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tInfalible 24H Fresh Wear foundation\t3\tMakeup\tMakeup\n",
      "Cosmetics\tInfalible 24H Fresh Wear foundation\t3\tMakeup\tMakeup\n",
      "Face/Foundation\tInfalible 24H Fresh Wear foundation\t3\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tAmbre Solaire Delial Sensitive Advanced sun protection\t3\tMakeup\tSkincare\n",
      "Suncare\tAmbre Solaire Delial Sensitive Advanced sun protection\t3\tMakeup\tSkincare\n",
      "Sun Protection\tAmbre Solaire Delial Sensitive Advanced sun protection\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMicellar Cleansing Water micellar water\t3\tMakeup\tMakeup\n",
      "Skincare Female\tMicellar Cleansing Water micellar water\t3\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tMicellar Cleansing Water micellar water\t3\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tNutrisse hair colourant range\t3\tMakeup\tHaircare\n",
      "Haircare\tNutrisse hair colourant range\t3\tHaircare\tHaircare\n",
      "Colourants\tNutrisse hair colourant range\t3\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tUniform & Matte female face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tUniform & Matte female face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tUniform & Matte female face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift female anti-age face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tHyaluron Sakura Glow female face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tHyaluron Sakura Glow female face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tHyaluron Sakura Glow female face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFusio-Dose hair treatment\t3\tMakeup\tHaircare\n",
      "Haircare\tFusio-Dose hair treatment\t3\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFusio-Dose hair treatment\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tBio Canapa female anti-age face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tBio Canapa female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tBio Canapa female anti-age face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElseve Hidra [Hialuronico] haircare range\t3\tMakeup\tHaircare\n",
      "Haircare\tElseve Hidra [Hialuronico] haircare range\t3\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Hidra [Hialuronico] haircare range\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive anti-dandruff shampoo\t3\tMakeup\tHaircare\n",
      "Haircare\tElvive anti-dandruff shampoo\t3\tHaircare\tHaircare\n",
      "Shampoo Anti-Dandruff/Anti-Fungal\tElvive anti-dandruff shampoo\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tUltra Dolce Bambini shampoo\t3\tMakeup\tHaircare\n",
      "Haircare\tUltra Dolce Bambini shampoo\t3\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltra Dolce Bambini shampoo\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tTrue Match Nude foundation\t3\tMakeup\tMakeup\n",
      "Cosmetics\tTrue Match Nude foundation\t3\tMakeup\tMakeup\n",
      "Face/Foundation\tTrue Match Nude foundation\t3\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tUltra Dolce haircare range\t3\tMakeup\tHaircare\n",
      "Haircare\tUltra Dolce haircare range\t3\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tUltra Dolce haircare range\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Expert Collagene female antiage face moisturiser\t3\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Expert Collagene female antiage face moisturiser\t3\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Expert Collagene female antiage face moisturiser\t3\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElnett hairspray sponsorship\t3\tMakeup\tHaircare\n",
      "Haircare\tElnett hairspray sponsorship\t3\tHaircare\tHaircare\n",
      "Hairstyle - Aerosol/Spray\tElnett hairspray sponsorship\t3\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tfemale body moisturisers range\t2\tMakeup\tSkincare\n",
      "Skincare Female\tfemale body moisturisers range\t2\tSkincare\tSkincare\n",
      "Female Body Moisturiser\tfemale body moisturisers range\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tInstant Age Rewind Eraser concealer\t2\tMakeup\tMakeup\n",
      "Cosmetics\tInstant Age Rewind Eraser concealer\t2\tMakeup\tMakeup\n",
      "Face/Foundation\tInstant Age Rewind Eraser concealer\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tSuperStay makeup range\t2\tMakeup\tMakeup\n",
      "Cosmetics\tSuperStay makeup range\t2\tMakeup\tMakeup\n",
      "Makeup Range\tSuperStay makeup range\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tBB cream range\t2\tMakeup\tMakeup\n",
      "Skincare Female\tBB cream range\t2\tSkincare\tMakeup\n",
      "Female Face Moisturiser Antiage/Antistain\tBB cream range\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tRevitalift Derm Intensives female anti-age face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Derm Intensives female anti-age face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Derm Intensives female anti-age face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tVolume Million Lashes mascara range\t2\tMakeup\tMakeup\n",
      "Cosmetics\tVolume Million Lashes mascara range\t2\tMakeup\tMakeup\n",
      "Eye Make Up\tVolume Million Lashes mascara range\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tExpress Brow Satin eye brow pencil\t2\tMakeup\tMakeup\n",
      "Cosmetics\tExpress Brow Satin eye brow pencil\t2\tMakeup\tMakeup\n",
      "Eye Make Up\tExpress Brow Satin eye brow pencil\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert Barber Club toiletries range\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tFructis Sleek & Shine haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tFructis Sleek & Shine haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Sleek & Shine haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tunisex skincare range\t2\tMakeup\tSkincare\n",
      "Skincare Unisex\tunisex skincare range\t2\tSkincare\tSkincare\n",
      "Unisex Skincare Range\tunisex skincare range\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tNutrisse hair colourant\t2\tMakeup\tHaircare\n",
      "Haircare\tNutrisse hair colourant\t2\tHaircare\tHaircare\n",
      "Colourants\tNutrisse hair colourant\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tPure Active female facecare range\t2\tMakeup\tSkincare\n",
      "Skincare Female\tPure Active female facecare range\t2\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tPure Active female facecare range\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvital Color-Glanz haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tElvital Color-Glanz haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvital Color-Glanz haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Night female antiage face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Night female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Night female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvive Dream Lengths haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tElvive Dream Lengths haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Dream Lengths haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tGenesis hairwash range\t2\tMakeup\tHaircare\n",
      "Haircare\tGenesis hairwash range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tGenesis hairwash range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElseve Reparacao Total 5 haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tElseve Reparacao Total 5 haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Reparacao Total 5 haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tTodo En 1 micellar water\t2\tMakeup\tMakeup\n",
      "Skincare Female\tTodo En 1 micellar water\t2\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tTodo En 1 micellar water\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tTattoo Brow 36H Pencil eyebrow liner\t2\tMakeup\tMakeup\n",
      "Cosmetics\tTattoo Brow 36H Pencil eyebrow liner\t2\tMakeup\tMakeup\n",
      "Eye Make Up\tTattoo Brow 36H Pencil eyebrow liner\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAccord Perfect foundation range\t2\tMakeup\tMakeup\n",
      "Cosmetics\tAccord Perfect foundation range\t2\tMakeup\tMakeup\n",
      "Face/Foundation\tAccord Perfect foundation range\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tColor Riche lip gloss\t2\tMakeup\tMakeup\n",
      "Cosmetics\tColor Riche lip gloss\t2\tMakeup\tMakeup\n",
      "Lipstick/gloss\tColor Riche lip gloss\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tEverPure shampoo\t2\tMakeup\tHaircare\n",
      "Haircare\tEverPure shampoo\t2\tHaircare\tHaircare\n",
      "Shampoo Regular\tEverPure shampoo\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvital Dream Length hairwash range\t2\tMakeup\tHaircare\n",
      "Haircare\tElvital Dream Length hairwash range\t2\tHaircare\tHaircare\n",
      "Hair Wash Range\tElvital Dream Length hairwash range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis Invisible dry shampoo\t2\tMakeup\tHaircare\n",
      "Haircare\tFructis Invisible dry shampoo\t2\tHaircare\tHaircare\n",
      "Shampoo Regular\tFructis Invisible dry shampoo\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tTutto In 1 micellar water\t2\tMakeup\tMakeup\n",
      "Skincare Female\tTutto In 1 micellar water\t2\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tTutto In 1 micellar water\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tWhole Blends haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tWhole Blends haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tWhole Blends haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tLight Complete Super UV female face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tLight Complete Super UV female face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tLight Complete Super UV female face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFeria hair colourant\t2\tMakeup\tHaircare\n",
      "Haircare\tFeria hair colourant\t2\tHaircare\tHaircare\n",
      "Colourants\tFeria hair colourant\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tAgua Micelar female face wash\t2\tMakeup\tSkincare\n",
      "Skincare Female\tAgua Micelar female face wash\t2\tSkincare\tSkincare\n",
      "Female Face Cleanser General/Wipes\tAgua Micelar female face wash\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFeria Power Toner hair colourant\t2\tMakeup\tHaircare\n",
      "Haircare\tFeria Power Toner hair colourant\t2\tHaircare\tHaircare\n",
      "Colourants\tFeria Power Toner hair colourant\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tSakura White female facecare range\t2\tMakeup\tSkincare\n",
      "Skincare Female\tSakura White female facecare range\t2\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tSakura White female facecare range\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMen PowerWhite XL Charcoal Tissue male face mask\t2\tMakeup\tSkincare\n",
      "Skincare Male\tMen PowerWhite XL Charcoal Tissue male face mask\t2\tSkincare\tSkincare\n",
      "Male Face Moisturiser General/Facecare Range\tMen PowerWhite XL Charcoal Tissue male face mask\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSuper Stay Active Wear 30H foundation\t2\tMakeup\tMakeup\n",
      "Cosmetics\tSuper Stay Active Wear 30H foundation\t2\tMakeup\tMakeup\n",
      "Face/Foundation\tSuper Stay Active Wear 30H foundation\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tlipstick range\t2\tMakeup\tMakeup\n",
      "Cosmetics\tlipstick range\t2\tMakeup\tMakeup\n",
      "Lipstick/gloss\tlipstick range\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tHautklar Feste Reinigung unisex antibacterial cleanser\t2\tMakeup\tMakeup\n",
      "Skincare Unisex\tHautklar Feste Reinigung unisex antibacterial cleanser\t2\tSkincare\tMakeup\n",
      "Acne/Antibacterial Face Treatments\tHautklar Feste Reinigung unisex antibacterial cleanser\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive hairwash range\t2\tMakeup\tHaircare\n",
      "Haircare\tElvive hairwash range\t2\tHaircare\tHaircare\n",
      "Hair Wash Range\tElvive hairwash range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMen PowerWhite male face cleanser\t2\tMakeup\tSkincare\n",
      "Skincare Male\tMen PowerWhite male face cleanser\t2\tSkincare\tSkincare\n",
      "Male Face Cleansers General/Wipes\tMen PowerWhite male face cleanser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Radiant Serum foundation\t2\tMakeup\tMakeup\n",
      "Cosmetics\tAge Perfect Radiant Serum foundation\t2\tMakeup\tMakeup\n",
      "Face/Foundation\tAge Perfect Radiant Serum foundation\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tMizellen Reinigungswasser All-In-1 + Eco Pad female face cleanser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tMizellen Reinigungswasser All-In-1 + Eco Pad female face cleanser\t2\tSkincare\tSkincare\n",
      "Female Face Cleanser General/Wipes\tMizellen Reinigungswasser All-In-1 + Eco Pad female face cleanser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tEl Borrador foundation\t2\tMakeup\tMakeup\n",
      "Cosmetics\tEl Borrador foundation\t2\tMakeup\tMakeup\n",
      "Face/Foundation\tEl Borrador foundation\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tTissue Mask female face mask\t2\tMakeup\tSkincare\n",
      "Skincare Female\tTissue Mask female face mask\t2\tSkincare\tSkincare\n",
      "Female Face Masks\tTissue Mask female face mask\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tPure Active 3 In 1 Clay unisex face cleanser\t2\tMakeup\tSkincare\n",
      "Skincare Unisex\tPure Active 3 In 1 Clay unisex face cleanser\t2\tSkincare\tSkincare\n",
      "Unisex Facecare\tPure Active 3 In 1 Clay unisex face cleanser\t2\tSkincare\tSkincare\n",
      "Toiletries Range\tAge Perfect toiletries range\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tInstant Anti-Age Eraser concealer\t2\tMakeup\tMakeup\n",
      "Cosmetics\tInstant Anti-Age Eraser concealer\t2\tMakeup\tMakeup\n",
      "Face/Foundation\tInstant Anti-Age Eraser concealer\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tNutrisse Ultra Color hair colourant\t2\tMakeup\tHaircare\n",
      "Haircare\tNutrisse Ultra Color hair colourant\t2\tHaircare\tHaircare\n",
      "Colourants\tNutrisse Ultra Color hair colourant\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Laser Pure Retinol Night Serum female antiage face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Laser Pure Retinol Night Serum female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Laser Pure Retinol Night Serum female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMicellar Cleansing Rose Water micellar water\t2\tMakeup\tMakeup\n",
      "Skincare Female\tMicellar Cleansing Rose Water micellar water\t2\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tMicellar Cleansing Rose Water micellar water\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert Carbon Protect 4 In 1 male deodorant\t2\tMakeup\tFragrance\n",
      "Deodorants & Anti-Perspirants\tMen Expert Carbon Protect 4 In 1 male deodorant\t2\tFragrance\tFragrance\n",
      "Male Deodorants & Anti-Perspirants\tMen Expert Carbon Protect 4 In 1 male deodorant\t2\tFragrance\tFragrance\n",
      "COSMETICS & TOILETRIES\tVoluminous Lash Paradise mascara\t2\tMakeup\tMakeup\n",
      "Cosmetics\tVoluminous Lash Paradise mascara\t2\tMakeup\tMakeup\n",
      "Eye Make Up\tVoluminous Lash Paradise mascara\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tPerfect Slim Super Liner eye liner\t2\tMakeup\tMakeup\n",
      "Cosmetics\tPerfect Slim Super Liner eye liner\t2\tMakeup\tMakeup\n",
      "Eye Make Up\tPerfect Slim Super Liner eye liner\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen ShampooColor hair colourant\t2\tMakeup\tHaircare\n",
      "Haircare\tMen ShampooColor hair colourant\t2\tHaircare\tHaircare\n",
      "Colourants\tMen ShampooColor hair colourant\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tfemale antiage face moisturiser range\t2\tMakeup\tSkincare\n",
      "Skincare Female\tfemale antiage face moisturiser range\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tfemale antiage face moisturiser range\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvive haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tElvive haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect female antiage face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tUltimate Blends Hair Food hair treatment cream\t2\tMakeup\tHaircare\n",
      "Haircare\tUltimate Blends Hair Food hair treatment cream\t2\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tUltimate Blends Hair Food hair treatment cream\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tBio Rosy Glow female face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tBio Rosy Glow female face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tBio Rosy Glow female face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvital Dream Length Air Volume dry shampoo\t2\tMakeup\tHaircare\n",
      "Haircare\tElvital Dream Length Air Volume dry shampoo\t2\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvital Dream Length Air Volume dry shampoo\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Hyaluronic Acid female facecare range\t2\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Hyaluronic Acid female facecare range\t2\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tRevitalift Hyaluronic Acid female facecare range\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFructis Oil Repair 3 hair conditioner\t2\tMakeup\tHaircare\n",
      "Haircare\tFructis Oil Repair 3 hair conditioner\t2\tHaircare\tHaircare\n",
      "Conditioner\tFructis Oil Repair 3 hair conditioner\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tHydrating unisex face cleanser\t2\tMakeup\tSkincare\n",
      "Skincare Unisex\tHydrating unisex face cleanser\t2\tSkincare\tSkincare\n",
      "Unisex Facecare\tHydrating unisex face cleanser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Collagen Retightening female antiage face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Collagen Retightening female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Collagen Retightening female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tBlond Absolu Bain Cicaextreme shampoo\t2\tMakeup\tHaircare\n",
      "Haircare\tBlond Absolu Bain Cicaextreme shampoo\t2\tHaircare\tHaircare\n",
      "Shampoo Regular\tBlond Absolu Bain Cicaextreme shampoo\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvital Color-Glanz Purple Belebendes Ol hair treatment oil\t2\tMakeup\tHaircare\n",
      "Haircare\tElvital Color-Glanz Purple Belebendes Ol hair treatment oil\t2\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElvital Color-Glanz Purple Belebendes Ol hair treatment oil\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMagic Retouch hair colourant range\t2\tMakeup\tHaircare\n",
      "Haircare\tMagic Retouch hair colourant range\t2\tHaircare\tHaircare\n",
      "Colourants\tMagic Retouch hair colourant range\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tAmpul female face mask\t2\tMakeup\tSkincare\n",
      "Skincare Female\tAmpul female face mask\t2\tSkincare\tSkincare\n",
      "Female Face Masks\tAmpul female face mask\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSky High mascara/Tutto In 1 micellar water\t2\tMakeup\tMakeup\n",
      "Cosmetics;Skincare Female\tSky High mascara/Tutto In 1 micellar water\t2\tSkincare\tMakeup\n",
      "Eye Make Up;Female Face Cleanser General/Wipes\tSky High mascara/Tutto In 1 micellar water\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Dream Long Magic Water hair treatment spray\t2\tMakeup\tHaircare\n",
      "Haircare\tElvive Dream Long Magic Water hair treatment spray\t2\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElvive Dream Long Magic Water hair treatment spray\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Crema Rossa Energizzante female antiage face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Crema Rossa Energizzante female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Crema Rossa Energizzante female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tColorSensational Ultimatte slim lipstick\t2\tMakeup\tMakeup\n",
      "Cosmetics\tColorSensational Ultimatte slim lipstick\t2\tMakeup\tMakeup\n",
      "Lipstick/gloss\tColorSensational Ultimatte slim lipstick\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tSuperior Preference hair colourant\t2\tMakeup\tHaircare\n",
      "Haircare\tSuperior Preference hair colourant\t2\tHaircare\tHaircare\n",
      "Colourants\tSuperior Preference hair colourant\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tSuperStay Ink Crayon lipstick\t2\tMakeup\tMakeup\n",
      "Cosmetics\tSuperStay Ink Crayon lipstick\t2\tMakeup\tMakeup\n",
      "Lipstick/gloss\tSuperStay Ink Crayon lipstick\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tCancella Eta foundation\t2\tMakeup\tMakeup\n",
      "Cosmetics\tCancella Eta foundation\t2\tMakeup\tMakeup\n",
      "Face/Foundation\tCancella Eta foundation\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tColossal 36H mascara\t2\tMakeup\tMakeup\n",
      "Cosmetics\tColossal 36H mascara\t2\tMakeup\tMakeup\n",
      "Eye Make Up\tColossal 36H mascara\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tExcellence Cool Blondes hair colourant\t2\tMakeup\tHaircare\n",
      "Haircare\tExcellence Cool Blondes hair colourant\t2\tHaircare\tHaircare\n",
      "Colourants\tExcellence Cool Blondes hair colourant\t2\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tSolution Micellaire Tout En 1 micellar water\t2\tMakeup\tMakeup\n",
      "Skincare Female\tSolution Micellaire Tout En 1 micellar water\t2\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tSolution Micellaire Tout En 1 micellar water\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElseve Full Resist haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tElseve Full Resist haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Full Resist haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis Rizos Elasticos haircare range\t2\tMakeup\tHaircare\n",
      "Haircare\tFructis Rizos Elasticos haircare range\t2\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Rizos Elasticos haircare range\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Golden Age Soin Rose female anti-age face moisturiser range\t2\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Golden Age Soin Rose female anti-age face moisturiser range\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Golden Age Soin Rose female anti-age face moisturiser range\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tPure Active 3 En 1 Charbon female face cleanser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tPure Active 3 En 1 Charbon female face cleanser\t2\tSkincare\tSkincare\n",
      "Female Face Cleanser General/Wipes\tPure Active 3 En 1 Charbon female face cleanser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSolution Micellaire A L'Eau De Rose micellar water\t2\tMakeup\tMakeup\n",
      "Skincare Female\tSolution Micellaire A L'Eau De Rose micellar water\t2\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tSolution Micellaire A L'Eau De Rose micellar water\t2\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tAge Perfect Golden Age female antiage face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Golden Age female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Golden Age female antiage face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Soin Liftant Sans Parfum anti-age female face moisturiser\t2\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Soin Liftant Sans Parfum anti-age female face moisturiser\t2\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Soin Liftant Sans Parfum anti-age female face moisturiser\t2\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAmbre Solaire suncare range\t2\tMakeup\tMakeup\n",
      "Suncare\tAmbre Solaire suncare range\t2\tMakeup\tMakeup\n",
      "Suncare Range\tAmbre Solaire suncare range\t2\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tFructis Sleek & Shine Anti-Frizz Serum hair treatment\t2\tMakeup\tHaircare\n",
      "Haircare\tFructis Sleek & Shine Anti-Frizz Serum hair treatment\t2\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFructis Sleek & Shine Anti-Frizz Serum hair treatment\t2\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Derm Intensives Night Serum female anti-age face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Derm Intensives Night Serum female anti-age face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Derm Intensives Night Serum female anti-age face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tTrue Match Tinted Serum foundation\t1\tMakeup\tMakeup\n",
      "Cosmetics\tTrue Match Tinted Serum foundation\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tTrue Match Tinted Serum foundation\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Acido Hialuronico] female antiage face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Acido Hialuronico] female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Acido Hialuronico] female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tUltra Dolce L'Olio Meraviglioso shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tUltra Dolce L'Olio Meraviglioso shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltra Dolce L'Olio Meraviglioso shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Extraordinary Serum antiage female face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Extraordinary Serum antiage female face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Extraordinary Serum antiage female face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElseve Dream Long haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Dream Long haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Dream Long haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSpecifique Bain Divalent shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tSpecifique Bain Divalent shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tSpecifique Bain Divalent shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive Color Vive haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Color Vive haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Color Vive haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSpecifique haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tSpecifique haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tSpecifique haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tPure Active Sensitive female facecare range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tPure Active Sensitive female facecare range\t1\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tPure Active Sensitive female facecare range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tEn Aceite micellar water\t1\tMakeup\tMakeup\n",
      "Skincare Female\tEn Aceite micellar water\t1\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tEn Aceite micellar water\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Color-Vive haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Color-Vive haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Color-Vive haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tInfallible foundation range\t1\tMakeup\tMakeup\n",
      "Cosmetics\tInfallible foundation range\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tInfallible foundation range\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tFructis Sleek & Shine shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Sleek & Shine shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tFructis Sleek & Shine shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tGreen Labs Serum Cream female face moisturiser range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tGreen Labs Serum Cream female face moisturiser range\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tGreen Labs Serum Cream female face moisturiser range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Renacimiento Celular female anti-age face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Renacimiento Celular female anti-age face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Renacimiento Celular female anti-age face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tInstant Eraser concealer\t1\tMakeup\tMakeup\n",
      "Cosmetics\tInstant Eraser concealer\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tInstant Eraser concealer\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tTattoo Studio Brow Pencil eye make up\t1\tMakeup\tMakeup\n",
      "Cosmetics\tTattoo Studio Brow Pencil eye make up\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tTattoo Studio Brow Pencil eye make up\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tNutrisse Retocador Raiz hair colourant\t1\tMakeup\tHaircare\n",
      "Haircare\tNutrisse Retocador Raiz hair colourant\t1\tHaircare\tHaircare\n",
      "Colourants\tNutrisse Retocador Raiz hair colourant\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tInfallible 24H foundation range\t1\tMakeup\tMakeup\n",
      "Cosmetics\tInfallible 24H foundation range\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tInfallible 24H foundation range\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tColossal mascara range\t1\tMakeup\tMakeup\n",
      "Cosmetics\tColossal mascara range\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tColossal mascara range\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvital Color-Glanz shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElvital Color-Glanz shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvital Color-Glanz shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRouge Signature lipstick\t1\tMakeup\tMakeup\n",
      "Cosmetics\tRouge Signature lipstick\t1\tMakeup\tMakeup\n",
      "Lipstick/gloss\tRouge Signature lipstick\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvital Ol Magique hair treatment oil\t1\tMakeup\tHaircare\n",
      "Haircare\tElvital Ol Magique hair treatment oil\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElvital Ol Magique hair treatment oil\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift female antiage face moisturiser range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift female antiage face moisturiser range\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift female antiage face moisturiser range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tLight Complete Super UV Matte sun protection\t1\tMakeup\tSkincare\n",
      "Suncare\tLight Complete Super UV Matte sun protection\t1\tMakeup\tSkincare\n",
      "Sun Protection\tLight Complete Super UV Matte sun protection\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tBain Cicaextreme shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tBain Cicaextreme shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tBain Cicaextreme shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tPure Active Charcoal Anti-Blackhead exfoliator\t1\tMakeup\tMakeup\n",
      "Skincare Female\tPure Active Charcoal Anti-Blackhead exfoliator\t1\tSkincare\tMakeup\n",
      "Female Exfoliator/Bodyscrub\tPure Active Charcoal Anti-Blackhead exfoliator\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tBio Hanf female facecare range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tBio Hanf female facecare range\t1\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tBio Hanf female facecare range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tBi-O Clinical Express Aclara female deodorant\t1\tMakeup\tFragrance\n",
      "Deodorants & Anti-Perspirants\tBi-O Clinical Express Aclara female deodorant\t1\tFragrance\tFragrance\n",
      "Female Deodorants & Anti-Perspirants\tBi-O Clinical Express Aclara female deodorant\t1\tFragrance\tFragrance\n",
      "COSMETICS & TOILETRIES\tOleo-Relax hair treatment range\t1\tMakeup\tHaircare\n",
      "Haircare\tOleo-Relax hair treatment range\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Range\tOleo-Relax hair treatment range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tVoluminous Original mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tVoluminous Original mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tVoluminous Original mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tChronologiste hair treatment range\t1\tMakeup\tHaircare\n",
      "Haircare\tChronologiste hair treatment range\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Range\tChronologiste hair treatment range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tResistance Extentioniste haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tResistance Extentioniste haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tResistance Extentioniste haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tBio Hanf Ol female face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tBio Hanf Ol female face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tBio Hanf Ol female face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMen Expert Barber Club haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tMen Expert Barber Club haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tMen Expert Barber Club haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tUltra Dolce hairwash range\t1\tMakeup\tHaircare\n",
      "Haircare\tUltra Dolce hairwash range\t1\tHaircare\tHaircare\n",
      "Hair Wash Range\tUltra Dolce hairwash range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMen shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tMen shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tMen shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tColor Riche lipstick\t1\tMakeup\tMakeup\n",
      "Cosmetics\tColor Riche lipstick\t1\tMakeup\tMakeup\n",
      "Lipstick/gloss\tColor Riche lipstick\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Dream Long hairwash range\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Dream Long hairwash range\t1\tHaircare\tHaircare\n",
      "Hair Wash Range\tElvive Dream Long hairwash range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tInoa hair colourant\t1\tMakeup\tHaircare\n",
      "Haircare\tInoa hair colourant\t1\tHaircare\tHaircare\n",
      "Colourants\tInoa hair colourant\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis Treat haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Treat haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Treat haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tNutritive 8H Magic Night hair treatment\t1\tMakeup\tHaircare\n",
      "Haircare\tNutritive 8H Magic Night hair treatment\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tNutritive 8H Magic Night hair treatment\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tExcellence Cool Supreme hair colourant\t1\tMakeup\tHaircare\n",
      "Haircare\tExcellence Cool Supreme hair colourant\t1\tHaircare\tHaircare\n",
      "Colourants\tExcellence Cool Supreme hair colourant\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tElseve Liso Dos Sonhos haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Liso Dos Sonhos haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Liso Dos Sonhos haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tThe Falsies Lash Lift mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tThe Falsies Lash Lift mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tThe Falsies Lash Lift mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tWhole Blends Sulfate Free Remedy haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tWhole Blends Sulfate Free Remedy haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tWhole Blends Sulfate Free Remedy haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tPure Active Charcoal Peel-Off unisex face mask\t1\tMakeup\tSkincare\n",
      "Skincare Unisex\tPure Active Charcoal Peel-Off unisex face mask\t1\tSkincare\tSkincare\n",
      "Unisex Facecare\tPure Active Charcoal Peel-Off unisex face mask\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMicellar Reusable Eco Pads makeup remover\t1\tMakeup\tMakeup\n",
      "Skincare Female\tMicellar Reusable Eco Pads makeup remover\t1\tSkincare\tMakeup\n",
      "Make-up Remover\tMicellar Reusable Eco Pads makeup remover\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tTattoo Studio eyebrow liner\t1\tMakeup\tMakeup\n",
      "Cosmetics\tTattoo Studio eyebrow liner\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tTattoo Studio eyebrow liner\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tPure Active 3 In 1 Charcoal face cleanser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tPure Active 3 In 1 Charcoal face cleanser\t1\tSkincare\tSkincare\n",
      "Female Face Cleanser General/Wipes\tPure Active 3 In 1 Charcoal face cleanser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMen Expert Hydra Energetic Eye Roll-On male face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert Hydra Energetic Eye Roll-On male face moisturiser\t1\tSkincare\tSkincare\n",
      "Male Face Moisturiser General/Facecare Range\tMen Expert Hydra Energetic Eye Roll-On male face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAge Perfect toiletries range\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tOriginal Remedies hair treatment cream\t1\tMakeup\tHaircare\n",
      "Haircare\tOriginal Remedies hair treatment cream\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tOriginal Remedies hair treatment cream\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tPlumping Treat hair treatment range\t1\tMakeup\tHaircare\n",
      "Haircare\tPlumping Treat hair treatment range\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tPlumping Treat hair treatment range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tPlumping Treat haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tPlumping Treat haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tPlumping Treat haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis Plumping Treat hair treatment cream\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Plumping Treat hair treatment cream\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFructis Plumping Treat hair treatment cream\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tBrow Ultra Slim eyebrow pencil\t1\tMakeup\tMakeup\n",
      "Cosmetics\tBrow Ultra Slim eyebrow pencil\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tBrow Ultra Slim eyebrow pencil\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAge Re-Perfect female facecare range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAge Re-Perfect female facecare range\t1\tSkincare\tSkincare\n",
      "Female Facecare Range (Cleanser & Moisturiser)\tAge Re-Perfect female facecare range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSpecifique Bain Exfoliant Hydratant anti-dandruff shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tSpecifique Bain Exfoliant Hydratant anti-dandruff shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Anti-Dandruff/Anti-Fungal\tSpecifique Bain Exfoliant Hydratant anti-dandruff shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Laser Retinolo Puro Siero Notte female antiage face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Laser Retinolo Puro Siero Notte female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Laser Retinolo Puro Siero Notte female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tHautklar 3 In1 Tonerde acne treatment\t1\tMakeup\tSkincare\n",
      "Skincare Unisex\tHautklar 3 In1 Tonerde acne treatment\t1\tSkincare\tSkincare\n",
      "Acne/Antibacterial Face Treatments\tHautklar 3 In1 Tonerde acne treatment\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSuperStay Matte Ink Spiced Edition lipstick\t1\tMakeup\tMakeup\n",
      "Cosmetics\tSuperStay Matte Ink Spiced Edition lipstick\t1\tMakeup\tMakeup\n",
      "Lipstick/gloss\tSuperStay Matte Ink Spiced Edition lipstick\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\thair loss treatment range\t1\tMakeup\tHaircare\n",
      "Haircare\thair loss treatment range\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Hair Loss/Wigs (Excluding Clinics)\thair loss treatment range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tPerfect Slim eyeliner\t1\tMakeup\tMakeup\n",
      "Cosmetics\tPerfect Slim eyeliner\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tPerfect Slim eyeliner\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert Hydra Power male face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert Hydra Power male face moisturiser\t1\tSkincare\tSkincare\n",
      "Male Face Moisturiser General/Facecare Range\tMen Expert Hydra Power male face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tNutrisse Cream hair colourant\t1\tMakeup\tHaircare\n",
      "Haircare\tNutrisse Cream hair colourant\t1\tHaircare\tHaircare\n",
      "Colourants\tNutrisse Cream hair colourant\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tUltra Dolce Shampoo Solido shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tUltra Dolce Shampoo Solido shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tUltra Dolce Shampoo Solido shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tThe Colossal Up To 36H mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tThe Colossal Up To 36H mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tThe Colossal Up To 36H mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvital Color-Glanz Kur-In shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElvital Color-Glanz Kur-In shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvital Color-Glanz Kur-In shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tInstant concealer\t1\tMakeup\tMakeup\n",
      "Cosmetics\tInstant concealer\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tInstant concealer\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert male face care range\t1\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert male face care range\t1\tSkincare\tSkincare\n",
      "Male Face Moisturiser Anti Ageing\tMen Expert male face care range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tInstant Anti-Age Effekt foundation\t1\tMakeup\tMakeup\n",
      "Cosmetics\tInstant Anti-Age Effekt foundation\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tInstant Anti-Age Effekt foundation\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tBio Aceite De Noche Cannabis Sativa female face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tBio Aceite De Noche Cannabis Sativa female face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tBio Aceite De Noche Cannabis Sativa female face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Volume Filler female antiage face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Volume Filler female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Volume Filler female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Volume Mascara mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tAge Perfect Volume Mascara mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tAge Perfect Volume Mascara mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tAge Perfect Pro-Kollagen Experte female anti-age face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Pro-Kollagen Experte female anti-age face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Pro-Kollagen Experte female anti-age face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tColossal eye makeup range\t1\tMakeup\tMakeup\n",
      "Cosmetics\tColossal eye makeup range\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tColossal eye makeup range\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Colour Protect shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Colour Protect shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvive Colour Protect shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis Oil Repair 3 shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Oil Repair 3 shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tFructis Oil Repair 3 shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tmicellar water range & Micellar Reusable Eco Pads makeup remover\t1\tMakeup\tMakeup\n",
      "Skincare Female\tmicellar water range & Micellar Reusable Eco Pads makeup remover\t1\tSkincare\tMakeup\n",
      "Female Face Cleanser Range\tmicellar water range & Micellar Reusable Eco Pads makeup remover\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tRitocco Perfetto hair colourant range\t1\tMakeup\tHaircare\n",
      "Haircare\tRitocco Perfetto hair colourant range\t1\tHaircare\tHaircare\n",
      "Colourants\tRitocco Perfetto hair colourant range\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tAmbre Solaire Advanced Sensitive sun protection\t1\tMakeup\tSkincare\n",
      "Suncare\tAmbre Solaire Advanced Sensitive sun protection\t1\tMakeup\tSkincare\n",
      "Sun Protection\tAmbre Solaire Advanced Sensitive sun protection\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tIlluminante micellar water\t1\tMakeup\tMakeup\n",
      "Skincare Female\tIlluminante micellar water\t1\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tIlluminante micellar water\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert Hydra Energetic male skincare range\t1\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert Hydra Energetic male skincare range\t1\tSkincare\tSkincare\n",
      "Male Skincare Range\tMen Expert Hydra Energetic male skincare range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFructis Oil Repair 3 10-in-1 hair treatment\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Oil Repair 3 10-in-1 hair treatment\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFructis Oil Repair 3 10-in-1 hair treatment\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tThe Falsies Volum' Express mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tThe Falsies Volum' Express mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tThe Falsies Volum' Express mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tfoundation range\t1\tMakeup\tMakeup\n",
      "Cosmetics\tfoundation range\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tfoundation range\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tHydrating Mineral Sunscreen sun protection\t1\tMakeup\tSkincare\n",
      "Suncare\tHydrating Mineral Sunscreen sun protection\t1\tMakeup\tSkincare\n",
      "Sun Protection\tHydrating Mineral Sunscreen sun protection\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tTrue Match concealer\t1\tMakeup\tMakeup\n",
      "Cosmetics\tTrue Match concealer\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tTrue Match concealer\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Reparacion Total 5 haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Reparacion Total 5 haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Reparacion Total 5 haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElseve Total Repair 5 Rapid Reviver hair treatment cream\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Total Repair 5 Rapid Reviver hair treatment cream\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElseve Total Repair 5 Rapid Reviver hair treatment cream\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tTuchmaske female face mask range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tTuchmaske female face mask range\t1\tSkincare\tSkincare\n",
      "Female Face Masks\tTuchmaske female face mask range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElvive Olio Straordinario Piu' Di Uno shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Olio Straordinario Piu' Di Uno shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvive Olio Straordinario Piu' Di Uno shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tThe Colossal mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tThe Colossal mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tThe Colossal mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tPreference Platinum hair colourant\t1\tMakeup\tHaircare\n",
      "Haircare\tPreference Platinum hair colourant\t1\tHaircare\tHaircare\n",
      "Colourants\tPreference Platinum hair colourant\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tNutrisse Nourishing Color Creme hair colourant\t1\tMakeup\tHaircare\n",
      "Haircare\tNutrisse Nourishing Color Creme hair colourant\t1\tHaircare\tHaircare\n",
      "Colourants\tNutrisse Nourishing Color Creme hair colourant\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tInstant Anti-Age Effekt Der Loscher foundation\t1\tMakeup\tMakeup\n",
      "Cosmetics\tInstant Anti-Age Effekt Der Loscher foundation\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tInstant Anti-Age Effekt Der Loscher foundation\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tMizellen Reinigungswasser All-In-1 micellar water\t1\tMakeup\tMakeup\n",
      "Skincare Female\tMizellen Reinigungswasser All-In-1 micellar water\t1\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tMizellen Reinigungswasser All-In-1 micellar water\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tDelial Sensitive Advanced sun protection range\t1\tMakeup\tSkincare\n",
      "Suncare\tDelial Sensitive Advanced sun protection range\t1\tMakeup\tSkincare\n",
      "Sun Protection\tDelial Sensitive Advanced sun protection range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Hyaluronsaure] 7-Tage Ampullen female face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Hyaluronsaure] 7-Tage Ampullen female face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Hyaluronsaure] 7-Tage Ampullen female face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tExcellence Matizador Supreme hair colourant\t1\tMakeup\tHaircare\n",
      "Haircare\tExcellence Matizador Supreme hair colourant\t1\tHaircare\tHaircare\n",
      "Colourants\tExcellence Matizador Supreme hair colourant\t1\tMakeup\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive More Than shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive More Than shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvive More Than shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Hyaluronsaure] Aufpolsternde Anti-Age female face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Hyaluronsaure] Aufpolsternde Anti-Age female face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tRevitalift Filler [+Hyaluronsaure] Aufpolsternde Anti-Age female face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSakura White Hyaluron Booster Essence female face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tSakura White Hyaluron Booster Essence female face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tSakura White Hyaluron Booster Essence female face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Crystal female antiage face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Crystal female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Crystal female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tMen Expert male deodorant range\t1\tMakeup\tFragrance\n",
      "Deodorants & Anti-Perspirants\tMen Expert male deodorant range\t1\tFragrance\tFragrance\n",
      "Male Deodorants & Anti-Perspirants\tMen Expert male deodorant range\t1\tFragrance\tFragrance\n",
      "COSMETICS & TOILETRIES\tFructis Fuerza & Brillo 10 En 1 hair treatment cream\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Fuerza & Brillo 10 En 1 hair treatment cream\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFructis Fuerza & Brillo 10 En 1 hair treatment cream\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tMen Expert Hydra Energetic Anti-Fatiga 24H male antiage face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Male\tMen Expert Hydra Energetic Anti-Fatiga 24H male antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "Male Face Moisturiser Anti Ageing\tMen Expert Hydra Energetic Anti-Fatiga 24H male antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tTattoo Brow Peel Off Tint eyebrow liner\t1\tMakeup\tMakeup\n",
      "Cosmetics\tTattoo Brow Peel Off Tint eyebrow liner\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tTattoo Brow Peel Off Tint eyebrow liner\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tFructis Sleek & Shine hairwash range\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Sleek & Shine hairwash range\t1\tHaircare\tHaircare\n",
      "Hair Wash Range\tFructis Sleek & Shine hairwash range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tChronologiste hair treatment\t1\tMakeup\tHaircare\n",
      "Haircare\tChronologiste hair treatment\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tChronologiste hair treatment\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tBlond Absolu hair treatment range\t1\tMakeup\tHaircare\n",
      "Haircare\tBlond Absolu hair treatment range\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Range\tBlond Absolu hair treatment range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFresh Affair dry shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tFresh Affair dry shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tFresh Affair dry shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive Olio Straordinario shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Olio Straordinario shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvive Olio Straordinario shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAgua Micelar Todo En 1 micellar water\t1\tMakeup\tMakeup\n",
      "Skincare Female\tAgua Micelar Todo En 1 micellar water\t1\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tAgua Micelar Todo En 1 micellar water\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Colour Protect Purple haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Colour Protect Purple haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvive Colour Protect Purple haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvital Color-Glanz Purple shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElvital Color-Glanz Purple shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElvital Color-Glanz Purple shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvital Dream Length haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElvital Dream Length haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElvital Dream Length haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis hair treatment creams range\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis hair treatment creams range\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFructis hair treatment creams range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tExpress Brow Duo eye make up\t1\tMakeup\tMakeup\n",
      "Cosmetics\tExpress Brow Duo eye make up\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tExpress Brow Duo eye make up\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive 8 Second Wonder Water hair treatment\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive 8 Second Wonder Water hair treatment\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElvive 8 Second Wonder Water hair treatment\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFructis hair mask range\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis hair mask range\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tFructis hair mask range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tFit Me! powder foundation\t1\tMakeup\tMakeup\n",
      "Cosmetics\tFit Me! powder foundation\t1\tMakeup\tMakeup\n",
      "Face/Foundation\tFit Me! powder foundation\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElvive Colour Protect Purple Reviving Oil hair treatment oil\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Colour Protect Purple Reviving Oil hair treatment oil\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElvive Colour Protect Purple Reviving Oil hair treatment oil\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tUniform & Matte female anti-stain face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tUniform & Matte female anti-stain face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tUniform & Matte female anti-stain face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tFructis Hair Food Plumping haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tFructis Hair Food Plumping haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tFructis Hair Food Plumping haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAcne Foaming Cream unisex face cleanser\t1\tMakeup\tSkincare\n",
      "Skincare Unisex\tAcne Foaming Cream unisex face cleanser\t1\tSkincare\tSkincare\n",
      "Unisex Facecare\tAcne Foaming Cream unisex face cleanser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElseve Dream Long hairwash range\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Dream Long hairwash range\t1\tHaircare\tHaircare\n",
      "Hair Wash Range\tElseve Dream Long hairwash range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [+Acide Hyaluronique] female antiage face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [+Acide Hyaluronique] female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [+Acide Hyaluronique] female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tUltra Doux Tresors De Miel haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tUltra Doux Tresors De Miel haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tUltra Doux Tresors De Miel haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElvive Olio Straordinario hair treatment oil\t1\tMakeup\tHaircare\n",
      "Haircare\tElvive Olio Straordinario hair treatment oil\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElvive Olio Straordinario hair treatment oil\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Golden Age female anti-age face moisturiser range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Golden Age female anti-age face moisturiser range\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Golden Age female anti-age face moisturiser range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tAge Perfect anti-age female body moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect anti-age female body moisturiser\t1\tSkincare\tSkincare\n",
      "Female Body Firming/Anti-Cellulite\tAge Perfect anti-age female body moisturiser\t1\tMakeup\tSkincare\n",
      "COSMETICS & TOILETRIES\tAdvanced Revitalift Laser X3 female antiage face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAdvanced Revitalift Laser X3 female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAdvanced Revitalift Laser X3 female antiage face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tElseve Color-Vive Violet haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Color-Vive Violet haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Color-Vive Violet haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElseve Color-Vive haircare range\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Color-Vive haircare range\t1\tHaircare\tHaircare\n",
      "Haircare Range/Corporate\tElseve Color-Vive haircare range\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tAge Perfect Trattamento Rimagliante Collagen Expert female anti-age face moisturiser range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tAge Perfect Trattamento Rimagliante Collagen Expert female anti-age face moisturiser range\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tAge Perfect Trattamento Rimagliante Collagen Expert female anti-age face moisturiser range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tPure Active 3 En 1 Argile female face cleanser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tPure Active 3 En 1 Argile female face cleanser\t1\tSkincare\tSkincare\n",
      "Female Face Cleanser General/Wipes\tPure Active 3 En 1 Argile female face cleanser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tRevitalift Filler [HA] female anti-age face moisturiser range\t1\tMakeup\tSkincare\n",
      "Skincare Female\tRevitalift Filler [HA] female anti-age face moisturiser range\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser Antiage/Antistain\tRevitalift Filler [HA] female anti-age face moisturiser range\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tSky High mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tSky High mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tSky High mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tMen Expert Carbon Protect 5 En 1 male deodorant\t1\tMakeup\tFragrance\n",
      "Deodorants & Anti-Perspirants\tMen Expert Carbon Protect 5 En 1 male deodorant\t1\tFragrance\tFragrance\n",
      "Male Deodorants & Anti-Perspirants\tMen Expert Carbon Protect 5 En 1 male deodorant\t1\tFragrance\tFragrance\n",
      "COSMETICS & TOILETRIES\tElseve Huile Extraordinaire hair treatment oil\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Huile Extraordinaire hair treatment oil\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElseve Huile Extraordinaire hair treatment oil\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tElseve Huile Extraordinaire Plus Qu'Un Shampooing shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Huile Extraordinaire Plus Qu'Un Shampooing shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElseve Huile Extraordinaire Plus Qu'Un Shampooing shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSerum Cream 3-In-1 female face moisturiser\t1\tMakeup\tSkincare\n",
      "Skincare Female\tSerum Cream 3-In-1 female face moisturiser\t1\tSkincare\tSkincare\n",
      "Female Face Moisturiser General\tSerum Cream 3-In-1 female face moisturiser\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tInfaillible make-up range\t1\tMakeup\tMakeup\n",
      "Cosmetics\tInfaillible make-up range\t1\tMakeup\tMakeup\n",
      "Makeup Range\tInfaillible make-up range\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tInstant Anti-Age L'Effaceur foundation\t1\tMakeup\tSkincare\n",
      "Cosmetics\tInstant Anti-Age L'Effaceur foundation\t1\tMakeup\tSkincare\n",
      "Face/Foundation\tInstant Anti-Age L'Effaceur foundation\t1\tSkincare\tSkincare\n",
      "COSMETICS & TOILETRIES\tVolume Millions De Cils Baume Noir mascara\t1\tMakeup\tMakeup\n",
      "Cosmetics\tVolume Millions De Cils Baume Noir mascara\t1\tMakeup\tMakeup\n",
      "Eye Make Up\tVolume Millions De Cils Baume Noir mascara\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tElseve Color-Vive Shampooing Violet shampoo\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Color-Vive Shampooing Violet shampoo\t1\tHaircare\tHaircare\n",
      "Shampoo Regular\tElseve Color-Vive Shampooing Violet shampoo\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tSoin Miracle Perfecteur BB cream\t1\tMakeup\tMakeup\n",
      "Skincare Female\tSoin Miracle Perfecteur BB cream\t1\tSkincare\tMakeup\n",
      "Female Face Moisturiser Antiage/Antistain\tSoin Miracle Perfecteur BB cream\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tTout En 1 micellar water\t1\tMakeup\tMakeup\n",
      "Skincare Female\tTout En 1 micellar water\t1\tSkincare\tMakeup\n",
      "Female Face Cleanser General/Wipes\tTout En 1 micellar water\t1\tSkincare\tMakeup\n",
      "COSMETICS & TOILETRIES\tElseve Dream Long hair treatment cream\t1\tMakeup\tHaircare\n",
      "Haircare\tElseve Dream Long hair treatment cream\t1\tHaircare\tHaircare\n",
      "Hair Treatment - Oil/Cream/Mousse/Spray\tElseve Dream Long hair treatment cream\t1\tHaircare\tHaircare\n",
      "COSMETICS & TOILETRIES\tlip makeup range\t1\tMakeup\tMakeup\n",
      "Cosmetics\tlip makeup range\t1\tMakeup\tMakeup\n",
      "Lipstick/gloss\tlip makeup range\t1\tMakeup\tMakeup\n",
      "COSMETICS & TOILETRIES\tUltimate Blends Hair Food conditioner\t1\tMakeup\tHaircare\n",
      "Haircare\tUltimate Blends Hair Food conditioner\t1\tHaircare\tHaircare\n",
      "Conditioner\tUltimate Blends Hair Food conditioner\t1\tHaircare\tHaircare\n"
     ]
    }
   ],
   "source": [
    "items = []\n",
    "\n",
    "for categories_str, product in raw_df[[\"Category\", \"Product\"]].values:\n",
    "    for category_str in categories_str[1:-1].split(\",\"):\n",
    "        category = category_str.replace(\"'\", \"\").strip()\n",
    "        items.append((category, product))\n",
    "\n",
    "item_dist = collections.Counter(items)\n",
    "item_tups = sorted(item_dist.items(), key=lambda tup: tup[1], reverse=True)\n",
    "for (cat, product), count in item_tups:\n",
    "    simplified_cat = simplify_cat(cat)\n",
    "    simplified_product = simplify_cat(product)\n",
    "    print(f\"{cat}\\t{product}\\t{count}\\t{simplified_cat}\\t{simplified_product}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'Maybelline': 204,\n",
       "         'CeraVe': 8,\n",
       "         \"L'Oreal\": 944,\n",
       "         'Garnier': 652,\n",
       "         'Kerastase': 114,\n",
       "         \"L'Oreal Professionnel\": 28,\n",
       "         \"L'Oreal/Garnier\": 4,\n",
       "         'Maybelline Jade': 1,\n",
       "         'Maybelline/Garnier': 2})"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"Brand\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'Lash Sensational Sky High mascara': 21,\n",
       "         'female body moisturisers range': 2,\n",
       "         'haircare corporate': 17,\n",
       "         'Color Sensational Ultimate lipstick': 3,\n",
       "         'SuperStay Matte Ink lipstick': 41,\n",
       "         'Volume Million Lashes mascara': 5,\n",
       "         'eye makeup range': 8,\n",
       "         'Bambi Eye mascara range': 5,\n",
       "         'Instant Age Rewind Eraser concealer': 2,\n",
       "         'Sky High Curves mascara': 10,\n",
       "         'Revitalift Crystal Fresh Hydrating female antiage face moisturiser': 3,\n",
       "         'SuperStay 30H foundation': 8,\n",
       "         'Preference hair colourant range': 10,\n",
       "         'toiletries corporate': 212,\n",
       "         'toiletries range': 20,\n",
       "         'Micellar Rose micellar water': 7,\n",
       "         'Revitalift Derm Intensives Night Serum female anti-age face moisturiser': 1,\n",
       "         'UV Defender sun protection': 18,\n",
       "         'Age Perfect female facecare range': 9,\n",
       "         'Bright Complete acne face treatment': 8,\n",
       "         'Preference hair colourant': 6,\n",
       "         'SuperStay makeup range': 2,\n",
       "         'micellar water range': 37,\n",
       "         'Tattoo Studio Smokey Gel Pencil eyeliner': 3,\n",
       "         'True Match Tinted Serum foundation': 1,\n",
       "         'EverPure haircare range': 4,\n",
       "         'Revitalift Filler [+Acido Hialuronico] female antiage face moisturiser': 1,\n",
       "         'Men Expert One-Twist hair colourant': 4,\n",
       "         'BB cream': 6,\n",
       "         'Express Aclara female anti-stain face moisturiser': 3,\n",
       "         'makeup corporate': 9,\n",
       "         'Bright Complete Booster Serum female anti-stain face moisturiser': 5,\n",
       "         'Revitalift Laser female anti-age face moisturiser': 28,\n",
       "         'Brow Artist eye makeup': 3,\n",
       "         'BB cream range': 2,\n",
       "         'toiletries sponsorship': 6,\n",
       "         \"Ultra Dolce L'Olio Meraviglioso shampoo\": 1,\n",
       "         'Curl Manifesto haircare range': 6,\n",
       "         'Obao Tattoo male deodorant': 7,\n",
       "         'Revitalift Derm Intensives female anti-age face moisturiser': 2,\n",
       "         'Accord Parfait Nude foundation': 3,\n",
       "         'Revitalift Filler [+Acido Ialuronico] female antiage face moisturiser': 13,\n",
       "         'Elvive Dream Long Wonder Water hair treatment cream': 8,\n",
       "         'Elseve Dream Long Soin Magique hair treatment cream': 3,\n",
       "         'Volume Million Lashes mascara range': 2,\n",
       "         'Super Stay Active Wear foundation': 10,\n",
       "         'Revitalift Filler [+Hyaluronsaure] female anti-age face moisturiser': 4,\n",
       "         'female facecare range': 9,\n",
       "         'Fructis Hydra Ricci haircare range': 6,\n",
       "         'Genesis haircare range': 21,\n",
       "         'Express Brow Satin eye brow pencil': 2,\n",
       "         'Elvital Full Resist haircare range': 7,\n",
       "         'Sakura Serum female face mask': 3,\n",
       "         'Excellence hair colourant range': 4,\n",
       "         'Excellence Creme hair colourant': 8,\n",
       "         'Men Expert Barber Club toiletries range': 2,\n",
       "         'Specifique Potentialiste hair treatment': 3,\n",
       "         'haircare range': 42,\n",
       "         'Revitalift Pressed Night Cream female antiage face moisturiser': 3,\n",
       "         'Age Perfect Extraordinary Serum antiage female face moisturiser': 1,\n",
       "         'Fructis Sleek & Shine haircare range': 2,\n",
       "         'Nutrisse Creme hair colourant': 14,\n",
       "         'makeup range': 13,\n",
       "         'unisex skincare range': 2,\n",
       "         'Hydra Bomb female face mask': 3,\n",
       "         'Age Perfect Zell-Renaissance female antiage face moisturiser': 6,\n",
       "         'Dream Length Wonder Water hair treatment cream': 14,\n",
       "         'Color Naturals hair colourant': 6,\n",
       "         'Men AcnoFight acne treatment': 10,\n",
       "         'Elseve Dream Long haircare range': 1,\n",
       "         'Elvive Hidra [Hialuronico] haircare range': 4,\n",
       "         'Nutrisse hair colourant': 2,\n",
       "         'Ultra Doux Shampooing Solide shampoo': 23,\n",
       "         'Specifique Bain Divalent shampoo': 1,\n",
       "         'Light Complete Foam female facial wash': 6,\n",
       "         'Serum female face mask': 4,\n",
       "         'Revitalift Crystal Micro-Essence female antiage face moisturiser': 6,\n",
       "         'Pure Active female facecare range': 2,\n",
       "         'Sakura White Booster Serum female face moisturiser': 4,\n",
       "         'Elvive Color Vive haircare range': 1,\n",
       "         'Bambi Eye Oversize mascara': 4,\n",
       "         'Specifique haircare range': 1,\n",
       "         'Casting Creme Gloss hair colourant': 13,\n",
       "         'Elvital Color-Glanz haircare range': 2,\n",
       "         'Revitalift Laser X3 female anti-age face moisturiser': 7,\n",
       "         'All-in-1 micellar water': 6,\n",
       "         'Revitalift Night female antiage face moisturiser': 2,\n",
       "         'Elvive Dream Lengths haircare range': 2,\n",
       "         'Elvive Dream Lengths Wonder Water hair conditioner': 5,\n",
       "         'Fructis Hair Food shampoo': 9,\n",
       "         'Fructis Hair Food haircare range': 52,\n",
       "         'Blond Absolu hairwash range': 4,\n",
       "         'Olia hair colourant': 32,\n",
       "         'Ultimate Blends Hair Food shampoo': 3,\n",
       "         'Ultimate Blends Hair Food haircare range': 3,\n",
       "         'Elvive Olio Straordinario haircare range': 14,\n",
       "         'Pure Active Sensitive female facecare range': 1,\n",
       "         'Volume Million Lashes Balm Noir mascara': 6,\n",
       "         'Genesis hairwash range': 2,\n",
       "         'En Aceite micellar water': 1,\n",
       "         'Original Remedies haircare range': 10,\n",
       "         'Elseve Reparacao Total 5 haircare range': 2,\n",
       "         'Obao Ritual Natural female deodorant range': 3,\n",
       "         'Light Complete Booster Serum female face moisturiser': 7,\n",
       "         'Elvive Color-Vive haircare range': 1,\n",
       "         'Lifter lip gloss': 10,\n",
       "         'Hautklar 3 In 1 Kohle acne treatment': 4,\n",
       "         'Bambi Oversized Eye mascara': 3,\n",
       "         'Infallible foundation range': 1,\n",
       "         'Men Expert Hydra Energetic Anti-Fatigue 24H male face moisturiser': 4,\n",
       "         'Todo En 1 micellar water': 2,\n",
       "         'Tattoo Brow 36H Pencil eyebrow liner': 2,\n",
       "         'Fructis Sleek & Shine shampoo': 1,\n",
       "         'Elvive Color-Vive Purple shampoo': 12,\n",
       "         'Ampoule Sheet female face mask': 3,\n",
       "         'Elvive Full Resist haircare range': 3,\n",
       "         'Revitalift Filler female antiage face moisturiser': 7,\n",
       "         'Air Volume Mega mascara': 11,\n",
       "         'Revitalift Filler [+1.5% Hyaluronic Acid Serum] female antiage face moisturiser': 7,\n",
       "         'Accord Perfect foundation range': 2,\n",
       "         'Air Volume mascara': 5,\n",
       "         'Wahre Schatze haircare range': 14,\n",
       "         'Green Labs Serum Cream female face moisturiser range': 1,\n",
       "         'Elvive Color-Vive hairwash range': 3,\n",
       "         'Age Perfect Renacimiento Celular female anti-age face moisturiser': 1,\n",
       "         'Instant Eraser concealer': 1,\n",
       "         'Lash Sensational mascara': 4,\n",
       "         'Elvital Color-Glanz Purple hairwash range': 4,\n",
       "         'Falsies Lash Lift mascara': 3,\n",
       "         'French Balayage hair colourant': 3,\n",
       "         'Revitalift Derm Intensives Hyaluronic Acid female antiage face moisturiser': 6,\n",
       "         'Color Riche lip gloss': 2,\n",
       "         'Revitalift Laser 3X female anti-age face moisturiser': 3,\n",
       "         'Age Perfect Cell Renewal Midnight Serum female antiage face moisturiser': 10,\n",
       "         'Original Remedies solid shampoo': 6,\n",
       "         'Tattoo Studio Brow Pencil eye make up': 1,\n",
       "         'Excellence Cool Creme hair colourant': 8,\n",
       "         'EverPure shampoo': 2,\n",
       "         'Olia hair colourant range': 15,\n",
       "         'Elvital Dream Length hairwash range': 2,\n",
       "         'Revitalift Filler [+Hyaluronsaure] female antiage face moisturiser': 4,\n",
       "         'female face cleanser range': 5,\n",
       "         'True Match foundation': 3,\n",
       "         'Nutrisse Retocador Raiz hair colourant': 1,\n",
       "         'female face mask range': 22,\n",
       "         'Blond Absolu haircare range': 5,\n",
       "         'Infallible 24H foundation range': 1,\n",
       "         'Infallible 24H Fresh Wear foundation': 5,\n",
       "         'hair colourant range': 4,\n",
       "         'Colossal mascara range': 1,\n",
       "         'Elvital Color-Glanz shampoo': 1,\n",
       "         'Rouge Signature lipstick': 1,\n",
       "         'Ultimate Blends shampoo': 8,\n",
       "         'Fructis Invisible dry shampoo': 2,\n",
       "         'Elvital Ol Magique hair treatment oil': 1,\n",
       "         'Tutto In 1 micellar water': 2,\n",
       "         'Blond Absolu Cicaextreme haircare range': 15,\n",
       "         'Infaillible 24H Fresh Wear foundation': 17,\n",
       "         'Whole Blends haircare range': 2,\n",
       "         'Revitalift female antiage face moisturiser range': 1,\n",
       "         'Elvive Dream Long haircare range': 13,\n",
       "         'Light Complete Super UV Matte sun protection': 1,\n",
       "         'Tattoo Liner eye liner': 3,\n",
       "         'LeColor Gloss hair colourant': 6,\n",
       "         'Bain Cicaextreme shampoo': 1,\n",
       "         'Metal Detox haircare range': 15,\n",
       "         'Agua Micellar En Aceite micellar water': 5,\n",
       "         'Pure Active Charcoal Anti-Blackhead exfoliator': 1,\n",
       "         'Light Complete Super UV female face moisturiser': 2,\n",
       "         'Feria hair colourant': 2,\n",
       "         'Bio Hanf female facecare range': 1,\n",
       "         'Bi-O Clinical Express Aclara female deodorant': 1,\n",
       "         'Oleo-Relax hair treatment range': 1,\n",
       "         'Agua Micelar female face wash': 2,\n",
       "         'Elseve Longo Dos Sonhos haircare range': 4,\n",
       "         'Feria Power Toner hair colourant': 2,\n",
       "         'Men Expert Hydra Energy Anti-Mudigkeit male anti-ageing face moisturiser': 3,\n",
       "         'Revitalift Laser X3 female antiage face moisturiser range': 10,\n",
       "         'Sakura White female facecare range': 2,\n",
       "         'Micellar Cleansing Vitamin C micellar water': 4,\n",
       "         'Colour Riche lipstick': 3,\n",
       "         'Magic Retouch hair colourant': 11,\n",
       "         'Men Expert toiletries range': 9,\n",
       "         'mascara range': 6,\n",
       "         'Express Brow Satin Duo eye brow pencil': 6,\n",
       "         'Voluminous Original mascara': 1,\n",
       "         'Chronologiste haircare range': 4,\n",
       "         'Chronologiste hair treatment range': 1,\n",
       "         'Resistance Extentioniste haircare range': 1,\n",
       "         'Bio Hanf Ol female face moisturiser': 1,\n",
       "         'Wahre Schatze shampoo bar range': 4,\n",
       "         'Men Expert Barber Club haircare range': 1,\n",
       "         'Men PowerWhite XL Charcoal Tissue male face mask': 2,\n",
       "         'Super Stay Active Wear 30H foundation': 2,\n",
       "         'Ultra Dolce hairwash range': 1,\n",
       "         'Green Labs Brightening Serum Cream female face moisturiser': 4,\n",
       "         'Fructis Oil Repair 3 haircare range': 5,\n",
       "         'Men shampoo': 1,\n",
       "         'Elvive Total Repair 5 haircare range': 10,\n",
       "         'Lash Paradise mascara': 14,\n",
       "         'Color Riche lipstick': 1,\n",
       "         'lipstick range': 2,\n",
       "         'Hautklar Feste Reinigung unisex antibacterial cleanser': 2,\n",
       "         'Elvive Dream Long hairwash range': 1,\n",
       "         'Inoa hair colourant': 1,\n",
       "         'Fructis Treat haircare range': 1,\n",
       "         'Age Perfect Pro-Collagen antiage female face moisturiser': 11,\n",
       "         'Revitalift Filler [+Hyaluronic Acid] Replumping female antiage face moisturiser': 4,\n",
       "         'Elvive hairwash range': 2,\n",
       "         'Fructis haircare range': 1,\n",
       "         'Elvital Color-Glanz hairwash range': 5,\n",
       "         'Nutritive 8H Magic Night hair treatment': 1,\n",
       "         'Revitalift 1.5% Acido Hialuronico female antiage face moisturiser': 7,\n",
       "         'Ritocco Perfetto Precision hair colourant': 9,\n",
       "         'Elvital Dream Length Wonder Water hair conditioner': 4,\n",
       "         'Sakura White Whip female face wash': 4,\n",
       "         'Excellence Cool Supreme hair colourant': 1,\n",
       "         'Men PowerWhite male face cleanser': 2,\n",
       "         'Revitalift female skincare range': 5,\n",
       "         'Age Perfect female anti-age face moisturiser range': 6,\n",
       "         'Fructis Hydra Ricci Air-Dry Cream haircare range': 4,\n",
       "         'Elseve Liso Dos Sonhos haircare range': 1,\n",
       "         'Infalible foundation': 5,\n",
       "         'The Falsies Lash Lift mascara': 1,\n",
       "         'Age Perfect Radiant Serum foundation': 2,\n",
       "         'Whole Blends Sulfate Free Remedy haircare range': 1,\n",
       "         'Wahre Schatze Festes shampoo': 6,\n",
       "         'Mizellen Reinigungswasser All-In-1 + Eco Pad female face cleanser': 2,\n",
       "         'Pure Active Charcoal Peel-Off unisex face mask': 1,\n",
       "         'Micellar Reusable Eco Pads makeup remover': 1,\n",
       "         'Hydra Bomb female anti-age face moisturiser': 3,\n",
       "         'El Borrador foundation': 2,\n",
       "         'Fructis Hair Food hair treatment cream': 9,\n",
       "         'Fructis Fuerza & Brillo hairwash range': 3,\n",
       "         'Tissue Mask female face mask': 2,\n",
       "         'Men Expert Hydra Energetic male face moisturiser range': 3,\n",
       "         'Magic Root Cover Up hair colourant': 6,\n",
       "         'Tattoo Studio eyebrow liner': 1,\n",
       "         'Fit Me! Matte+Poreless foundation': 6,\n",
       "         'Pure Active 3 In 1 Clay unisex face cleanser': 2,\n",
       "         'Pure Active 3 In 1 Charcoal face cleanser': 1,\n",
       "         'Tattoo Brow eyebrow liner': 4,\n",
       "         'Fit Me! foundation': 3,\n",
       "         'Ultra Dolce shampoo': 3,\n",
       "         'Men Expert Hydra Energetic Eye Roll-On male face moisturiser': 1,\n",
       "         'Age Perfect toiletries range': 1,\n",
       "         'Ambre Solaire Sensitive Expert+ sun protection': 13,\n",
       "         'Original Remedies hair treatment cream': 1,\n",
       "         'Revitalift Laser female anti-age face moisturiser range': 10,\n",
       "         'Plumping Treat hair treatment range': 1,\n",
       "         'Plumping Treat haircare range': 1,\n",
       "         'Fructis Plumping Treat hair treatment cream': 1,\n",
       "         'Instant Anti-Age Eraser concealer': 2,\n",
       "         'Nutrisse Ultra Color hair colourant': 2,\n",
       "         'Revitalift Laser Pure Retinol Night Serum female antiage face moisturiser': 2,\n",
       "         'Elvive Color-Vive Mas Que Un Champu shampoo': 3,\n",
       "         'Elvital shampoo range': 3,\n",
       "         'Brow Ultra Slim eyebrow pencil': 1,\n",
       "         'Micellar Cleansing Rose Water micellar water': 2,\n",
       "         'Age Re-Perfect female facecare range': 1,\n",
       "         'Specifique Bain Exfoliant Hydratant anti-dandruff shampoo': 1,\n",
       "         'Revitalift Laser Retinolo Puro Siero Notte female antiage face moisturiser': 1,\n",
       "         'Hautklar 3 In1 Tonerde acne treatment': 1,\n",
       "         'Men Expert Carbon Protect 4 In 1 male deodorant': 2,\n",
       "         'Men Expert Carbon Protect 5 In 1 male deodorant': 5,\n",
       "         'Voluminous Lash Paradise mascara': 2,\n",
       "         'Age Perfect BB cream': 3,\n",
       "         'Revitalift Filler female anti-age face moisturiser range': 4,\n",
       "         'SuperStay Matte Ink Spiced Edition lipstick': 1,\n",
       "         'Perfect Slim Super Liner eye liner': 2,\n",
       "         'Men ShampooColor hair colourant': 2,\n",
       "         'female antiage face moisturiser range': 2,\n",
       "         'Elvive haircare range': 2,\n",
       "         'hair loss treatment range': 1,\n",
       "         'Perfect Slim eyeliner': 1,\n",
       "         'Original Remedies shampoo': 3,\n",
       "         'Men Expert Hydra Power male face moisturiser': 1,\n",
       "         'Nutrisse Cream hair colourant': 1,\n",
       "         'Age Perfect female antiage face moisturiser': 2,\n",
       "         'Ultra Dolce Shampoo Solido shampoo': 1,\n",
       "         'Organic Rosy Glow 3in1 female face moisturiser': 4,\n",
       "         'Elvive Dream Lengths shampoo': 5,\n",
       "         'The Colossal Up To 36H mascara': 1,\n",
       "         'Ambre Solaire Super sun protection': 3,\n",
       "         'Ultimate Blends Hair Food hair treatment cream': 2,\n",
       "         'Elvital Color-Glanz Kur-In shampoo': 1,\n",
       "         'Revitalift Filler [+Hyaluronic Acid] female antiage face moisturiser': 5,\n",
       "         'Instant concealer': 1,\n",
       "         'Men Expert male face care range': 1,\n",
       "         'Instant Anti-Age Effekt foundation': 1,\n",
       "         'Bio Aceite De Noche Cannabis Sativa female face moisturiser': 1,\n",
       "         'Revitalift Volume Filler female antiage face moisturiser': 1,\n",
       "         'Age Perfect Volume Mascara mascara': 1,\n",
       "         'Age Perfect Pro-Kollagen Experte female anti-age face moisturiser': 1,\n",
       "         'Colossal eye makeup range': 1,\n",
       "         'Elvive Colour Protect shampoo': 1,\n",
       "         'Curl Manifesto hairwash range': 4,\n",
       "         'Bio Rosy Glow female face moisturiser': 2,\n",
       "         'Fructis Nutri Rizos haircare range': 6,\n",
       "         'Elvital Dream Length Air Volume dry shampoo': 2,\n",
       "         'Fructis Oil Repair 3 shampoo': 1,\n",
       "         'micellar water range & Micellar Reusable Eco Pads makeup remover': 1,\n",
       "         'Ritocco Perfetto hair colourant range': 1,\n",
       "         'Ambre Solaire Advanced Sensitive sun protection': 1,\n",
       "         'Illuminante micellar water': 1,\n",
       "         'Men Expert Hydra Energetic male skincare range': 1,\n",
       "         'Brilliant Signature lipstick': 4,\n",
       "         'Infalible 24H Fresh Wear foundation': 3,\n",
       "         'Ambre Solaire Delial Sensitive Advanced sun protection': 3,\n",
       "         'Fructis Oil Repair 3 10-in-1 hair treatment': 1,\n",
       "         \"The Falsies Volum' Express mascara\": 1,\n",
       "         'foundation range': 1,\n",
       "         'Hydrating Mineral Sunscreen sun protection': 1,\n",
       "         'Revitalift Hyaluronic Acid female facecare range': 2,\n",
       "         'True Match concealer': 1,\n",
       "         'Elvive Reparacion Total 5 haircare range': 1,\n",
       "         'Micellar Cleansing Water micellar water': 3,\n",
       "         'Nutrisse hair colourant range': 3,\n",
       "         'Fructis Oil Repair 3 hair conditioner': 2,\n",
       "         'Elseve Total Repair 5 Rapid Reviver hair treatment cream': 1,\n",
       "         'Hydrating unisex face cleanser': 2,\n",
       "         'Tuchmaske female face mask range': 1,\n",
       "         \"Elvive Olio Straordinario Piu' Di Uno shampoo\": 1,\n",
       "         'Age Perfect Collagen Retightening female antiage face moisturiser': 2,\n",
       "         'The Colossal mascara': 1,\n",
       "         'Preference Platinum hair colourant': 1,\n",
       "         'Blond Absolu Bain Cicaextreme shampoo': 2,\n",
       "         'Nutrisse Nourishing Color Creme hair colourant': 1,\n",
       "         'Elvital Color-Glanz Purple Belebendes Ol hair treatment oil': 2,\n",
       "         'Magic Retouch hair colourant range': 2,\n",
       "         'Instant Anti-Age Effekt Der Loscher foundation': 1,\n",
       "         'Ampul female face mask': 2,\n",
       "         'Mizellen Reinigungswasser All-In-1 micellar water': 1,\n",
       "         'Delial Sensitive Advanced sun protection range': 1,\n",
       "         'Revitalift Filler [+Hyaluronsaure] 7-Tage Ampullen female face moisturiser': 1,\n",
       "         'Excellence Matizador Supreme hair colourant': 1,\n",
       "         'Elvive More Than shampoo': 1,\n",
       "         'Uniform & Matte female face moisturiser': 3,\n",
       "         'Revitalift female anti-age face moisturiser': 3,\n",
       "         'Revitalift Filler [+Hyaluronsaure] Aufpolsternde Anti-Age female face moisturiser': 1,\n",
       "         'Sky High mascara/Tutto In 1 micellar water': 2,\n",
       "         'Sakura White Hyaluron Booster Essence female face moisturiser': 1,\n",
       "         'Revitalift Crystal female antiage face moisturiser': 1,\n",
       "         'Elvive Dream Long Magic Water hair treatment spray': 2,\n",
       "         'Men Expert male deodorant range': 1,\n",
       "         'Fructis Fuerza & Brillo 10 En 1 hair treatment cream': 1,\n",
       "         'Men Expert Hydra Energetic Anti-Fatiga 24H male antiage face moisturiser': 1,\n",
       "         'Tattoo Brow Peel Off Tint eyebrow liner': 1,\n",
       "         'Fructis Sleek & Shine hairwash range': 1,\n",
       "         'Hyaluron Sakura Glow female face moisturiser': 3,\n",
       "         'Chronologiste hair treatment': 1,\n",
       "         'Blond Absolu hair treatment range': 1,\n",
       "         'Fresh Affair dry shampoo': 1,\n",
       "         'Elvive Olio Straordinario shampoo': 1,\n",
       "         'Revitalift Crema Rossa Energizzante female antiage face moisturiser': 2,\n",
       "         'Fusio-Dose hair treatment': 3,\n",
       "         'ColorSensational Ultimatte slim lipstick': 2,\n",
       "         'Bio Canapa female anti-age face moisturiser': 3,\n",
       "         'Agua Micelar Todo En 1 micellar water': 1,\n",
       "         'Elvive Colour Protect Purple haircare range': 1,\n",
       "         'Elseve Hidra [Hialuronico] haircare range': 3,\n",
       "         'Elvive anti-dandruff shampoo': 3,\n",
       "         'Ultra Dolce Bambini shampoo': 3,\n",
       "         'Elvital Color-Glanz Purple shampoo': 1,\n",
       "         'Elvital Dream Length haircare range': 1,\n",
       "         'Fructis hair treatment creams range': 1,\n",
       "         'Superior Preference hair colourant': 2,\n",
       "         'Express Brow Duo eye make up': 1,\n",
       "         'Elvive 8 Second Wonder Water hair treatment': 1,\n",
       "         'Fructis hair mask range': 1,\n",
       "         'True Match Nude foundation': 3,\n",
       "         'SuperStay Ink Crayon lipstick': 2,\n",
       "         'Fit Me! powder foundation': 1,\n",
       "         'Elvive Colour Protect Purple Reviving Oil hair treatment oil': 1,\n",
       "         'Perfect Match foundation range': 4,\n",
       "         'Cancella Eta foundation': 2,\n",
       "         'Uniform & Matte female anti-stain face moisturiser': 1,\n",
       "         'Fructis Hair Food Plumping haircare range': 1,\n",
       "         'Ultra Dolce haircare range': 3,\n",
       "         'Acne Foaming Cream unisex face cleanser': 1,\n",
       "         'Colossal 36H mascara': 2,\n",
       "         'Accord Parfait foundation range': 7,\n",
       "         'Excellence Cool Blondes hair colourant': 2,\n",
       "         'Elseve Dream Long hairwash range': 1,\n",
       "         'Revitalift Filler [+Acide Hyaluronique] female antiage face moisturiser': 1,\n",
       "         'Ultra Doux shampoo': 6,\n",
       "         'Ultra Doux Tresors De Miel haircare range': 1,\n",
       "         'eye make up range': 11,\n",
       "         'Solution Micellaire Tout En 1 micellar water': 2,\n",
       "         'Elvive Olio Straordinario hair treatment oil': 1,\n",
       "         'Age Perfect Golden Age female anti-age face moisturiser range': 1,\n",
       "         'Age Perfect anti-age female body moisturiser': 1,\n",
       "         'Elseve Full Resist haircare range': 2,\n",
       "         'Advanced Revitalift Laser X3 female antiage face moisturiser': 1,\n",
       "         'Infalible 24h foundation': 4,\n",
       "         'Fructis Rizos Elasticos haircare range': 2,\n",
       "         'Elseve Color-Vive Violet haircare range': 1,\n",
       "         'Age Perfect Golden Age Soin Rose female anti-age face moisturiser range': 2,\n",
       "         'Elseve Color-Vive haircare range': 1,\n",
       "         'Age Perfect Trattamento Rimagliante Collagen Expert female anti-age face moisturiser range': 1,\n",
       "         'Pure Active 3 En 1 Charbon female face cleanser': 2,\n",
       "         'Pure Active 3 En 1 Argile female face cleanser': 1,\n",
       "         'Age Perfect Expert Collagene female antiage face moisturiser': 3,\n",
       "         \"Solution Micellaire A L'Eau De Rose micellar water\": 2,\n",
       "         'Revitalift Filler [HA] female anti-age face moisturiser range': 1,\n",
       "         'Sky High mascara': 1,\n",
       "         'Men Expert Carbon Protect 5 En 1 male deodorant': 1,\n",
       "         'Elseve Huile Extraordinaire hair treatment oil': 1,\n",
       "         \"Elseve Huile Extraordinaire Plus Qu'Un Shampooing shampoo\": 1,\n",
       "         'Age Perfect Golden Age female antiage face moisturiser': 2,\n",
       "         \"Ultra Doux L'Huile Merveilleuse hair treatment oil\": 4,\n",
       "         'Revitalift Soin Liftant Sans Parfum anti-age female face moisturiser': 2,\n",
       "         'Serum Cream 3-In-1 female face moisturiser': 1,\n",
       "         'Infaillible make-up range': 1,\n",
       "         \"Instant Anti-Age L'Effaceur foundation\": 1,\n",
       "         'Volume Millions De Cils Baume Noir mascara': 1,\n",
       "         'Elseve Color-Vive Shampooing Violet shampoo': 1,\n",
       "         'Soin Miracle Perfecteur BB cream': 1,\n",
       "         'Tout En 1 micellar water': 1,\n",
       "         'Elseve Dream Long hair treatment cream': 1,\n",
       "         'Elnett hairspray sponsorship': 3,\n",
       "         '12H BB cream': 7,\n",
       "         'Belle Color hair colourant': 4,\n",
       "         'Ambre Solaire suncare range': 2,\n",
       "         'lip makeup range': 1,\n",
       "         'Infaillible foundation range': 5,\n",
       "         'Ultimate Blends Hair Food conditioner': 1,\n",
       "         'Ultra Dolce toiletries range': 6,\n",
       "         'Fructis Sleek & Shine Anti-Frizz Serum hair treatment': 2})"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"Product\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'USA': 138,\n",
       "         'Italy': 407,\n",
       "         'Germany': 614,\n",
       "         'Indonesia': 137,\n",
       "         'UK': 152,\n",
       "         'France': 176,\n",
       "         'Spain': 216,\n",
       "         'Mexico': 53,\n",
       "         'Brazil': 64})"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"Country\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({\"L'Oreal\": 1957})"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collections.Counter(raw_df[\"Advertiser\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename                      \tAdvertiser                    \tDate                          \tVersion                       \tCountry                       \tDuration                      \n",
      "Description                   \tBrand/Product                 \tProductAdvertiser             \tTitle                         \tCreative ID                   \n",
      "Channel                       \tPublication                   \tWebsite                       \t!!MISSING_KEY!! CreativeLabel_Outlet_PaidSocial\tAd Format                     \n",
      "Endline                       \tvideo_key                     \tframes_analyzed               \t(female, [0, 15), [-inf, 1.1))\t(female, [0, 15), [1.1, 2.1)) \n",
      "(female, [0, 15), [2.1, 3.1)) \t(female, [0, 15), [3.1, 4.1)) \t(female, [0, 15), [4.1, 5.1)) \t(female, [0, 15), [5.1, 6.1)) \t(female, [0, 15), [6.1, 7.1)) \n",
      "(female, [0, 15), [7.1, 8.1)) \t(female, [0, 15), [8.1, 9.1)) \t(female, [15, 25), [-inf, 1.1))\t(female, [15, 25), [1.1, 2.1))\t(female, [15, 25), [2.1, 3.1))\n",
      "(female, [15, 25), [3.1, 4.1))\t(female, [15, 25), [4.1, 5.1))\t(female, [15, 25), [5.1, 6.1))\t(female, [15, 25), [6.1, 7.1))\t(female, [15, 25), [7.1, 8.1))\n",
      "(female, [15, 25), [8.1, 9.1))\t(female, [15, 25), [9.1, 10.1))\t(female, [25, 35), [-inf, 1.1))\t(female, [25, 35), [1.1, 2.1))\t(female, [25, 35), [2.1, 3.1))\n",
      "(female, [25, 35), [3.1, 4.1))\t(female, [25, 35), [4.1, 5.1))\t(female, [25, 35), [5.1, 6.1))\t(female, [25, 35), [6.1, 7.1))\t(female, [25, 35), [7.1, 8.1))\n",
      "(female, [25, 35), [8.1, 9.1))\t(female, [25, 35), [9.1, 10.1))\t(female, [35, 45), [-inf, 1.1))\t(female, [35, 45), [1.1, 2.1))\t(female, [35, 45), [2.1, 3.1))\n",
      "(female, [35, 45), [3.1, 4.1))\t(female, [35, 45), [4.1, 5.1))\t(female, [35, 45), [5.1, 6.1))\t(female, [35, 45), [6.1, 7.1))\t(female, [35, 45), [7.1, 8.1))\n",
      "(female, [35, 45), [8.1, 9.1))\t(female, [45, 55), [-inf, 1.1))\t(female, [45, 55), [1.1, 2.1))\t(female, [45, 55), [2.1, 3.1))\t(female, [45, 55), [3.1, 4.1))\n",
      "(female, [45, 55), [4.1, 5.1))\t(female, [45, 55), [5.1, 6.1))\t(female, [45, 55), [6.1, 7.1))\t(female, [45, 55), [7.1, 8.1))\t(female, [55, 65), [-inf, 1.1))\n",
      "(female, [55, 65), [1.1, 2.1))\t(female, [55, 65), [2.1, 3.1))\t(female, [55, 65), [3.1, 4.1))\t(female, [55, 65), [4.1, 5.1))\t(female, [55, 65), [6.1, 7.1))\n",
      "(female, [55, 65), [7.1, 8.1))\t(female, [65, 75), [1.1, 2.1))\t(male, [0, 15), [-inf, 1.1))  \t(male, [0, 15), [1.1, 2.1))   \t(male, [0, 15), [2.1, 3.1))   \n",
      "(male, [0, 15), [3.1, 4.1))   \t(male, [0, 15), [4.1, 5.1))   \t(male, [0, 15), [5.1, 6.1))   \t(male, [0, 15), [6.1, 7.1))   \t(male, [0, 15), [7.1, 8.1))   \n",
      "(male, [0, 15), [8.1, 9.1))   \t(male, [15, 25), [-inf, 1.1)) \t(male, [15, 25), [1.1, 2.1))  \t(male, [15, 25), [2.1, 3.1))  \t(male, [15, 25), [3.1, 4.1))  \n",
      "(male, [15, 25), [4.1, 5.1))  \t(male, [15, 25), [5.1, 6.1))  \t(male, [15, 25), [6.1, 7.1))  \t(male, [15, 25), [7.1, 8.1))  \t(male, [15, 25), [8.1, 9.1))  \n",
      "(male, [15, 25), [9.1, 10.1)) \t(male, [25, 35), [-inf, 1.1)) \t(male, [25, 35), [1.1, 2.1))  \t(male, [25, 35), [2.1, 3.1))  \t(male, [25, 35), [3.1, 4.1))  \n",
      "(male, [25, 35), [4.1, 5.1))  \t(male, [25, 35), [5.1, 6.1))  \t(male, [25, 35), [6.1, 7.1))  \t(male, [25, 35), [7.1, 8.1))  \t(male, [25, 35), [8.1, 9.1))  \n",
      "(male, [25, 35), [9.1, 10.1)) \t(male, [35, 45), [-inf, 1.1)) \t(male, [35, 45), [1.1, 2.1))  \t(male, [35, 45), [2.1, 3.1))  \t(male, [35, 45), [3.1, 4.1))  \n",
      "(male, [35, 45), [4.1, 5.1))  \t(male, [35, 45), [6.1, 7.1))  \t(male, [35, 45), [7.1, 8.1))  \t(male, [35, 45), [8.1, 9.1))  \t(male, [45, 55), [-inf, 1.1)) \n",
      "(male, [45, 55), [1.1, 2.1))  \t(male, [45, 55), [2.1, 3.1))  \t(male, [45, 55), [3.1, 4.1))  \t(male, [45, 55), [4.1, 5.1))  \t(male, [45, 55), [6.1, 7.1))  \n",
      "(male, [45, 55), [7.1, 8.1))  \t(male, [45, 55), [8.1, 9.1))  \t(male, [55, 65), [-inf, 1.1)) \t(male, [55, 65), [1.1, 2.1))  \t(male, [55, 65), [2.1, 3.1))  \n",
      "(male, [55, 65), [3.1, 4.1))  \t(male, [55, 65), [4.1, 5.1))  \t(male, [55, 65), [7.1, 8.1))  \t(male, [55, 65), [8.1, 9.1))  \t(male, [65, 75), [1.1, 2.1))  \n",
      "faces                         \tmst_scale_1                   \tmst_scale_2                   \tmst_scale_3                   \tmst_scale_4                   \n",
      "mst_scale_5                   \tmst_scale_6                   \tmst_scale_7                   \tmst_scale_8                   \tmst_scale_9                   \n",
      "mst_scale_10                  \tage_1                         \tage_2                         \tage_3                         \tage_4                         \n",
      "age_5                         \tage_6                         \tage_7                         \tmasculine_faces               \tfeminine_faces                \n",
      "video_key_to_match            \tbrand_category                \t\n",
      "total number of rows = 11577\n",
      "total number of videos = 10472\n",
      "total number of videos with RP output = 7648\n"
     ]
    }
   ],
   "source": [
    "# read data\n",
    "\n",
    "raw_df = pd.read_csv(\"raw_Mar31.csv\", index_col=None)\n",
    "for i, column in enumerate(raw_df.columns):\n",
    "    end = \"\\n\" if i % 5 == 0 and i > 0 else \"\\t\"\n",
    "    print(f\"{column:30s}\", end=end)\n",
    "print()\n",
    "print(f\"total number of rows = {raw_df.shape[0]}\")\n",
    "n_videos = raw_df[\"Filename\"].str.endswith(\".mp4\").sum()\n",
    "n_videos_rp = ((raw_df != -1).all(axis=1) & raw_df[\"Filename\"].str.endswith(\".mp4\")).sum()\n",
    "print(f\"total number of videos = {n_videos}\")\n",
    "print(f\"total number of videos with RP output = {n_videos_rp}\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7648, 148)\n"
     ]
    }
   ],
   "source": [
    "# filter data\n",
    "\n",
    "data_df = raw_df.loc[(raw_df != -1).all(axis=1) & raw_df[\"Filename\"].str.endswith(\".mp4\")].copy()\n",
    "data_df.index = pd.RangeIndex(0, len(data_df))\n",
    "print(data_df.shape)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# check cross section bins count equals aggregates\n",
    "\n",
    "def describe(row):\n",
    "    print(row[\"Creative ID\"])\n",
    "    rp_columns = [column for column in row.index if re.match(r\"\\((fe)?male\", column)]\n",
    "    for column in rp_columns:\n",
    "        if row[column] != 0:\n",
    "            print(f\"\\t{column} : {row[column]}\")\n",
    "    print(f\"faces : {row.faces}\")\n",
    "    print(f\"gender : male = {row.masculine_faces}, female = {row.feminine_faces}\")\n",
    "    print(\"age : \")\n",
    "    for j in range(7):\n",
    "        count = row[f\"age_{j + 1}\"]\n",
    "        end = \", \" if j < 6 else \"\\n\"\n",
    "        print(f\"age_{j + 1} = {count}\", end=end)\n",
    "    print(\"monk skin tone : \")\n",
    "    for k in range(10):\n",
    "        count = row[f\"mst_scale_{k + 1}\"]\n",
    "        end = \", \" if k < 9 else \"\\n\"\n",
    "        print(f\"mst_scale_{k + 1} = {count}\", end=end)\n",
    "\n",
    "for _, row in data_df.iterrows():\n",
    "    rp_data = np.zeros((2, 7, 10), dtype=int)\n",
    "    for i, gender in enumerate([\"male\", \"female\"]):\n",
    "        for j in range(7):\n",
    "            for k in range(10):\n",
    "                age_lb = 0 if j == 0 else 10 * j + 5\n",
    "                age_ub = 10 * j + 15\n",
    "                mst_lb = \"-inf\" if k == 0 else k + 0.1\n",
    "                mst_ub = k + 1.1\n",
    "                column_name = f\"({gender}, [{age_lb}, {age_ub}), [{mst_lb}, {mst_ub}))\"\n",
    "                if column_name in row:\n",
    "                    rp_data[i, j, k] = row[column_name]\n",
    "    assert rp_data.sum() == row[\"faces\"]\n",
    "    assert rp_data[0].sum() == row[\"masculine_faces\"]\n",
    "    assert rp_data[1].sum() == row[\"feminine_faces\"]\n",
    "    for j in range(7):\n",
    "        assert rp_data[:,j].sum() == row[f\"age_{j + 1}\"]\n",
    "    # for k in range(10):\n",
    "    #     assert rp_data[:, :, k].sum() == row[f\"mst_scale_{k + 1}\"]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Metadata Distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "country\n",
      "Germany    : 3202 (41.9%)\tUK         : 1715 (22.4%)\tFrance     :  817 (10.7%)\tItaly      :  806 (10.5%)\tUSA        :  701 ( 9.2%)\tSpain      :  227 ( 3.0%)\n",
      "Brazil     :   54 ( 0.7%)\tIndia      :   49 ( 0.6%)\tMexico     :   46 ( 0.6%)\tIndonesia  :   30 ( 0.4%)\tCanada     :    1 ( 0.0%)\n",
      "\n",
      "\n",
      "brand\n",
      "GARNIER    : 1825 (23.9%)\tOAP        :  880 (11.5%)\tLRP        :  631 ( 8.3%)\tYSL        :  613 ( 8.0%)\tVICHY      :  511 ( 6.7%)\tLANCOME    :  504 ( 6.6%)\n",
      "KIEHLS     :  429 ( 5.6%)\tMNY        :  408 ( 5.3%)\tMAYBELLINE :  346 ( 4.5%)\tARMANI     :  337 ( 4.4%)\tKERASTASE  :  335 ( 4.4%)\n",
      "NYX        :  286 ( 3.7%)\tCERAVE     :  239 ( 3.1%)\tLOP        :  110 ( 1.4%)\tPRADA      :   84 ( 1.1%)\tBIOTHERM   :   80 ( 1.0%)\n",
      "REDKEN     :   30 ( 0.4%)\t\n",
      "\n",
      "product type\n",
      "makeup     : 2897 (37.9%)\tskincare   : 2429 (31.8%)\thaircare   : 1640 (21.4%)\tfragrance  :  682 ( 8.9%)\t\n",
      "\n",
      "product target gender\n",
      "unspecified : 4844 (63.3%)\tfemale     : 2155 (28.2%)\tmale       :  460 ( 6.0%)\tunisex     :  189 ( 2.5%)\t"
     ]
    }
   ],
   "source": [
    "# metadata\n",
    "\n",
    "data_df[\"country\"] = data_df[\"Country\"]\n",
    "data_df[\"brand\"] = data_df[\"ProductAdvertiser\"]\n",
    "data_df[\"product type\"] = data_df[\"brand_category\"]\n",
    "# data_df.loc[data_df[\"Brand/Product\"].apply(lambda x: re.search(\"(\\s|^)((toiletries)|(toilet))(\\s|$)\", x) is not None), \n",
    "#             \"product type\"] = \"toiletries\"\n",
    "\n",
    "def plural(metadata):\n",
    "    if metadata == \"country\":\n",
    "        return \"countries\"\n",
    "    elif metadata == \"brand\":\n",
    "        return \"brands\"\n",
    "    elif metadata == \"product type\":\n",
    "        return \"product types\"\n",
    "    elif metadata == \"product target gender\":\n",
    "        return \"product target gender categories\"\n",
    "    else:\n",
    "        return metadata + \"s\"\n",
    "\n",
    "def target_gender(desc):\n",
    "    desc = str(desc)\n",
    "    f = re.search(r\"(^|\\s)(females?)|(wom(a|e)n)(\\s|$)\", desc.lower()) is not None\n",
    "    m = re.search(r\"(^|\\s)((?<!fe)males?)|((?<!wo)m(a|e)n)(\\s|$)\", desc.lower()) is not None\n",
    "    u = re.search(r\"(^|\\s)unisex(\\s|$)\", desc.lower()) is not None\n",
    "    if f and not m and not u:\n",
    "        return \"female\"\n",
    "    elif m and not f:\n",
    "        return \"male\"\n",
    "    elif u and not f and not m:\n",
    "        return \"unisex\"\n",
    "    else:\n",
    "        return \"unspecified\"\n",
    "\n",
    "def plot_metadata_distribution(dist, metadata):\n",
    "    plt.figure(figsize=(22, 10))\n",
    "    x = [item[0] for item in dist]\n",
    "    y = [item[1] for item in dist]\n",
    "    total = sum(y)\n",
    "    yper = [100*yy/total for yy in y]\n",
    "    xx = np.arange(len(x))\n",
    "    bc = plt.bar(xx, y, width=0.8, edgecolor=\"black\", linewidth=2)\n",
    "    plt.bar_label(bc, [f\"{yy:.1f}%\" for yy in yper], padding=10, rotation=0)\n",
    "    bottom, top = plt.ylim()\n",
    "    plt.ylim(bottom, top + 50)\n",
    "    xrotation = 90 if len(x) > 12 else 0\n",
    "    plt.xticks(xx, x, rotation=xrotation, ha=\"center\", fontsize=\"small\")\n",
    "    plt.yticks(fontsize=\"small\")\n",
    "    plt.xlabel(metadata.upper())\n",
    "    plt.ylabel(\"NUMBER OF ADS\")\n",
    "    metadata_in_title = plural(metadata)\n",
    "    plt.title(f\"DISTRIBUTION OF ADS ACROSS {metadata_in_title.upper()}\")\n",
    "    plt.savefig(f\"plots/metadata/{metadata}.png\", bbox_inches=\"tight\", pad_inches=0, dpi=300)\n",
    "    plt.close()\n",
    "\n",
    "country_dist = sorted(collections.Counter(data_df[\"country\"]).items(), key=lambda x: x[1], reverse=True)\n",
    "brand_dist = sorted(collections.Counter(data_df[\"brand\"]).items(), key=lambda x: x[1], reverse=True)\n",
    "producttype_dist = sorted(collections.Counter(data_df[\"product type\"]).items(), key=lambda x: x[1], reverse=True)\n",
    "data_df[\"product target gender\"] = data_df[\"Brand/Product\"].apply(target_gender)\n",
    "targetgender_dist = sorted(collections.Counter(data_df[\"product target gender\"]).items(), key=lambda x: x[1], \n",
    "                           reverse=True)\n",
    "total = len(data_df)\n",
    "\n",
    "print(\"country\")\n",
    "for i, (country, count) in enumerate(country_dist):\n",
    "    per = 100*count/total\n",
    "    end = \"\\n\" if i % 5 == 0 and i > 0 else \"\\t\"\n",
    "    print(f\"{country:10s} : {count:4d} ({per:4.1f}%)\", end=end)\n",
    "plot_metadata_distribution(country_dist, \"country\")\n",
    "print(\"\\n\")\n",
    "\n",
    "print(\"brand\")\n",
    "for i, (brand, count) in enumerate(brand_dist):\n",
    "    per = 100*count/total\n",
    "    end = \"\\n\" if i % 5 == 0 and i > 0 else \"\\t\"\n",
    "    print(f\"{brand:10s} : {count:4d} ({per:4.1f}%)\", end=end)\n",
    "plot_metadata_distribution(brand_dist, \"brand\")\n",
    "print(\"\\n\")\n",
    "\n",
    "print(\"product type\")\n",
    "for i, (producttype, count) in enumerate(producttype_dist):\n",
    "    per = 100*count/total\n",
    "    end = \"\\n\" if i % 5 == 0 and i > 0 else \"\\t\"\n",
    "    print(f\"{producttype:10s} : {count:4d} ({per:4.1f}%)\", end=end)\n",
    "plot_metadata_distribution(producttype_dist, \"product type\")\n",
    "print(\"\\n\")\n",
    "\n",
    "print(\"product target gender\")\n",
    "for i, (targetgender, count) in enumerate(targetgender_dist):\n",
    "    per = 100*count/total\n",
    "    end = \"\\n\" if i % 5 == 0 and i > 0 else \"\\t\"\n",
    "    print(f\"{targetgender:10s} : {count:4d} ({per:4.1f}%)\", end=end)\n",
    "plot_metadata_distribution(targetgender_dist, \"product target gender\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def metadata_x_metadata_stacked(data_df, primary_metadata, secondary_metadata, figsize=(22, 10)):\n",
    "    assert primary_metadata in [\"brand\", \"country\", \"product type\", \"product target gender\"]\n",
    "    assert secondary_metadata in [\"brand\", \"country\", \"product type\", \"product target gender\"]\n",
    "    n_primary_metadata_cats = data_df[primary_metadata].unique().size\n",
    "    primary_metadata_dist = collections.Counter(data_df[primary_metadata].tolist())\n",
    "    primary_metadata_cats = sorted(primary_metadata_dist.keys(), key=lambda cat: primary_metadata_dist[cat], \n",
    "                                   reverse=True)\n",
    "    n_secondary_metadata_cats = data_df[secondary_metadata].unique().size\n",
    "    secondary_metadata_dist = collections.Counter(data_df[secondary_metadata].tolist())\n",
    "    secondary_metadata_cats = sorted(secondary_metadata_dist.keys(), key=lambda cat: secondary_metadata_dist[cat], \n",
    "                                   reverse=True)\n",
    "    metadata_x_metadata_arr = np.zeros((n_primary_metadata_cats, n_secondary_metadata_cats), dtype=int)\n",
    "    for (primary_metadata_cat, secondary_metadata_cat), df in data_df.groupby([primary_metadata, secondary_metadata]):\n",
    "        i = primary_metadata_cats.index(primary_metadata_cat)\n",
    "        j = secondary_metadata_cats.index(secondary_metadata_cat)\n",
    "        metadata_x_metadata_arr[i, j] = len(df)\n",
    "    metadata_x_metadata_arr = 100 * metadata_x_metadata_arr / metadata_x_metadata_arr.sum(axis=1, keepdims=True)\n",
    "    bar_width = 0.8\n",
    "    bottom = np.zeros(n_primary_metadata_cats, dtype=float)\n",
    "    x = np.arange(n_primary_metadata_cats)\n",
    "    plt.figure(figsize=figsize)\n",
    "    for j, secondary_metadata_cat in enumerate(secondary_metadata_cats):\n",
    "        height = metadata_x_metadata_arr[:, j]\n",
    "        plt.bar(x, height, width=bar_width, bottom=bottom, label=secondary_metadata_cat, edgecolor=\"black\", lw=2)\n",
    "        bottom += height\n",
    "    plt.legend(bbox_to_anchor=(1, 1))\n",
    "    xrotation = 90 if n_primary_metadata_cats > 12 else 0\n",
    "    plt.xticks(x, primary_metadata_cats, fontsize=\"small\", rotation=xrotation)\n",
    "    plt.xlabel(primary_metadata)\n",
    "    plt.ylabel(\"PERCENTAGE OF ADS\")\n",
    "    plt.title(f\"{secondary_metadata.upper()} DISTRIBUTION OF {primary_metadata.upper()} ADS\")\n",
    "    plt.savefig(f\"plots/metadata_x_metadata/{primary_metadata}_x_{secondary_metadata}.png\", bbox_inches=\"tight\", \n",
    "                pad_inches=0, dpi=300)\n",
    "    plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "metadata_x_metadata_stacked(data_df, \"brand\", \"product type\")\n",
    "metadata_x_metadata_stacked(data_df, \"country\", \"product type\")\n",
    "metadata_x_metadata_stacked(data_df, \"brand\", \"product target gender\")\n",
    "metadata_x_metadata_stacked(data_df, \"country\", \"product target gender\")\n",
    "metadata_x_metadata_stacked(data_df, \"product type\", \"product target gender\")\n",
    "metadata_x_metadata_stacked(data_df, \"brand\", \"country\", figsize=(22, 15))\n",
    "metadata_x_metadata_stacked(data_df, \"country\", \"brand\", figsize=(22, 15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "product target gender\n",
       "female         26.19\n",
       "male           59.52\n",
       "unspecified    14.29\n",
       "Name: Creative ID, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = data_df.loc[data_df[\"brand\"] == \"PRADA\"].groupby(\"product target gender\").count()[\"Creative ID\"]\n",
    "(100*df/df.sum()).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "product target gender\n",
       "female         62.61\n",
       "male           30.50\n",
       "unspecified     6.89\n",
       "Name: Creative ID, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = data_df.loc[data_df[\"product type\"] == \"fragrance\"].groupby(\"product target gender\").count()[\"Creative ID\"]\n",
    "(100*df/df.sum()).round(2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rp_data rows x gender x age x skin tone\n",
    "\n",
    "gender_cats = [\"male\", \"female\"]\n",
    "age_cats = [(0, 15), (15, 25), (25, 35), (35, 45), (45, 55), (55, 65), (65, 75)]\n",
    "age_cats2 = [\"<15y\", \"15y-25y\", \"25y-35y\", \"35y-45y\", \"45-75y\"]\n",
    "skintone_cats = [(-np.inf, 1.1), (1.1, 2.1), (2.1, 3.1), (3.1, 4.1), (4.1, 5.1),\n",
    "                 (5.1, 6.1), (6.1, 7.1), (7.1, 8.1), (8.1, 9.1), (9.1, 10.1)]\n",
    "skintone_cats2 = [\"light\", \"medium\", \"dark\"]\n",
    "\n",
    "rp_data = np.zeros((len(data_df), len(gender_cats), len(age_cats), len(skintone_cats)), dtype=int)\n",
    "\n",
    "for i, row in data_df.iterrows():\n",
    "    for j, gender in enumerate(gender_cats):\n",
    "        for k, age_bin in enumerate(age_cats):\n",
    "            age_lb, age_ub = age_bin\n",
    "            for l, skintone_bin in enumerate(skintone_cats):\n",
    "                skintone_lb, skintone_ub = skintone_bin\n",
    "                column = f\"({gender}, [{age_lb}, {age_ub}), [{skintone_lb}, {skintone_ub}))\"\n",
    "                if column in row.index:\n",
    "                    rp_data[i, j, k, l] += row[column]\n",
    "\n",
    "rp_data2 = np.zeros((len(data_df), len(gender_cats), len(age_cats2), len(skintone_cats2)), dtype=int)\n",
    "rp_data2[:, :, :4, 0] = rp_data[:, :, :4, :3].sum(axis=3)\n",
    "rp_data2[:, :, :4, 1] = rp_data[:, :, :4, 3:7].sum(axis=3)\n",
    "rp_data2[:, :, :4, 2] = rp_data[:, :, :4, 7:].sum(axis=3)\n",
    "rp_data2[:, :, 4, 0] = rp_data[:, :, 4:, :3].sum(axis=(2,3))\n",
    "rp_data2[:, :, 4, 1] = rp_data[:, :, 4:, 3:7].sum(axis=(2, 3))\n",
    "rp_data2[:, :, 4, 2] = rp_data[:, :, 4:, 7:].sum(axis=(2,3))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demographic Identity vs Metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# one metadata vs one rp\n",
    "\n",
    "def metadata_x_rp(df, rp_data, metadata, rp, confidence=0.05, condition=None):\n",
    "    assert rp in [\"gender\", \"age\", \"skin tone\"]\n",
    "    assert metadata in [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "    \n",
    "    if condition is None:\n",
    "        plot_filename = f\"plots/rp_x_metadata/{rp}_x_{metadata}.png\"\n",
    "        text_filename = f\"text/rp_x_metadata/{rp}_x_{metadata}.txt\"\n",
    "    else:\n",
    "        plot_filename = f\"plots/rp_x_metadata_x_metadata/{rp}_x_{metadata}_{condition}.png\"\n",
    "        text_filename = f\"text/rp_x_metadata_x_metadata/{rp}_x_{metadata}_{condition}.txt\"\n",
    "    \n",
    "    metadata_cat_to_count = collections.Counter(df[metadata])\n",
    "    metadata_cats = [metadata_cat for metadata_cat, count in metadata_cat_to_count.items() if count >= 30]\n",
    "    removed_metadata_cats = [x for x in df[metadata].unique() if x not in metadata_cats]\n",
    "    if len(metadata_cats) <= 1:\n",
    "        return\n",
    "    \n",
    "    title = f\"{rp} vs {metadata}\"\n",
    "    if condition is not None:\n",
    "        title += f\" {condition}\"\n",
    "    \n",
    "    \n",
    "    print(title)\n",
    "    print(f\"{metadata} categories : {metadata_cats}\")\n",
    "    print(f\"removed categories : {removed_metadata_cats}\")\n",
    "    \n",
    "    fw = open(text_filename, \"w\")\n",
    "    fw.write(f\"{title}\\n\")\n",
    "    fw.write(f\"{metadata} cats = {metadata_cats}\\n\")\n",
    "    fw.write(f\"removed {metadata} cats = {removed_metadata_cats}\\n\")\n",
    "    \n",
    "    if rp == \"gender\":\n",
    "        rp_cats = gender_cats\n",
    "    elif rp == \"age\":\n",
    "        rp_cats = age_cats2\n",
    "    else:\n",
    "        rp_cats = skintone_cats2\n",
    "    \n",
    "    rp_arr = np.zeros((df[metadata].isin(metadata_cats).sum(), len(rp_cats)))\n",
    "    metadata_arr = []\n",
    "    j = 0\n",
    "    \n",
    "    for i, row in df.iterrows():\n",
    "        metadata_value = row[metadata]\n",
    "        if metadata_value in metadata_cats:\n",
    "            metadata_arr.append(metadata_value)\n",
    "            if rp == \"gender\":\n",
    "                rp_arr[j] = 100 * rp_data[i].sum(axis=(1, 2))/rp_data[i].sum()\n",
    "            elif rp == \"age\":\n",
    "                rp_arr[j] = 100 * rp_data[i].sum(axis=(0, 2))/rp_data[i].sum()\n",
    "            else:\n",
    "                rp_arr[j] = 100 * rp_data[i].sum(axis=(0, 1))/rp_data[i].sum()\n",
    "            j += 1\n",
    "    \n",
    "    metadata_arr = np.array(metadata_arr)\n",
    "    most_common_metadata_cat = rp_arr.sum(axis=0).argmax()\n",
    "    metadata_cats = sorted(metadata_cats, key=lambda x: rp_arr[:, most_common_metadata_cat][metadata_arr == x].mean(), \n",
    "                           reverse=True)\n",
    "    \n",
    "    plt.figure(figsize=(22, 10))\n",
    "    x = np.arange(len(metadata_cats))\n",
    "    group_width = 0.8\n",
    "    bar_width = group_width/len(rp_cats)\n",
    "\n",
    "    for i, rp_cat in enumerate(rp_cats):\n",
    "        rp_cat_arr = rp_arr[:, i]\n",
    "        y = [rp_cat_arr[metadata_arr == metadata_cat].mean() for metadata_cat in metadata_cats]\n",
    "        bc = plt.bar(x + i * bar_width, y, width=bar_width, label=str(rp_cat), edgecolor=\"black\", linewidth=2)\n",
    "        plt.bar_label(bc, [f\"{yy:.1f}%\" for yy in y], padding=5, rotation=90, fontsize=\"small\")\n",
    "    \n",
    "    bottom, top = plt.ylim()\n",
    "    plt.ylim(bottom, top + 10)\n",
    "    plt.ylabel(\"AVERAGE SCREEN TIME\")\n",
    "    xrotation = 90 if len(x) > 10 else 0\n",
    "    plt.xticks(x + bar_width*(len(rp_cats) - 1)/2, metadata_cats, ha=\"center\", rotation=xrotation)\n",
    "    plt.yticks(fontsize=\"small\")\n",
    "    plt.xlabel(metadata.upper())\n",
    "    condition_title = \" (\" + condition + \")\" if condition is not None else \"\"\n",
    "    plt.title(f\"DISTRIBUTION OF {rp.upper()} SCREEN TIME ACROSS {plural(metadata).upper()}{condition_title}\")\n",
    "    plt.legend()\n",
    "    plt.savefig(plot_filename, bbox_inches=\"tight\", pad_inches=0, dpi=300)\n",
    "    plt.close()\n",
    "\n",
    "    for i, rp_cat in enumerate(rp_cats):\n",
    "        rp_cat_arr = rp_arr[:, i]\n",
    "        metadata_to_rp_arr = {metadata_cat:rp_cat_arr[metadata_arr == metadata_cat] for metadata_cat in metadata_cats}\n",
    "        metadata_sorted_by_mean = sorted(metadata_cats, key=lambda x: metadata_to_rp_arr[x].mean(), reverse=True)\n",
    "        pvalues = []\n",
    "        \n",
    "        for j in range(len(metadata_cats) - 1):\n",
    "            cat1, cat2 = metadata_sorted_by_mean[j], metadata_sorted_by_mean[j + 1]\n",
    "            arr1, arr2 = metadata_to_rp_arr[cat1], metadata_to_rp_arr[cat2]\n",
    "            _, pvalue = scipy.stats.ttest_ind(arr1, arr2, equal_var=False, alternative=\"greater\")\n",
    "            pvalues.append(pvalue)\n",
    "        significant = np.array(pvalues)/(len(metadata_cats) - 1) < confidence\n",
    "        print(f\"{rp_cat} : \", end=\"\")\n",
    "        fw.write(f\"{rp_cat}\\n\")\n",
    "        \n",
    "        for j in range(len(metadata_cats) - 1):\n",
    "            cat = metadata_sorted_by_mean[j]\n",
    "            sign = \">\" if significant[j] else \"=\"\n",
    "            print(f\"{cat} {sign} \", end=\"\")\n",
    "            fw.write(f\"{cat} {sign} \")\n",
    "        print(metadata_sorted_by_mean[-1])\n",
    "        fw.write(f\"{metadata_sorted_by_mean[-1]}\\n\")\n",
    "    print()\n",
    "    fw.write(\"\\n\")\n",
    "    fw.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gender vs country\n",
      "country categories : ['Mexico', 'Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India', 'Indonesia']\n",
      "removed categories : ['Canada']\n",
      "male : India > UK > France > Germany > USA > Italy > Brazil > Mexico = Spain > Indonesia\n",
      "female : Indonesia > Spain = Mexico > Brazil > Italy > USA > Germany > France > UK > India\n",
      "\n",
      "age vs country\n",
      "country categories : ['Mexico', 'Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India', 'Indonesia']\n",
      "removed categories : ['Canada']\n",
      "<15y : Germany > USA > UK = Italy > Spain > France > Indonesia > Brazil > Mexico > India\n",
      "15y-25y : Brazil > USA > Germany > France > UK > Italy > Indonesia = Spain > Mexico > India\n",
      "25y-35y : India > Indonesia > Mexico > Spain > Italy > France > UK > Germany = Brazil > USA\n",
      "35y-45y : Mexico > India > UK > Spain > France > Germany > Italy = USA > Brazil > Indonesia\n",
      "45-75y : Germany > UK = France > Spain = Italy > Mexico > USA > India > Brazil > Indonesia\n",
      "\n",
      "skin tone vs country\n",
      "country categories : ['Mexico', 'Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India', 'Indonesia']\n",
      "removed categories : ['Canada']\n",
      "light : Mexico = India > Indonesia > Spain > Italy > Germany > France > Brazil > UK > USA\n",
      "medium : USA > UK > Brazil > Germany > France > Italy > Spain > Indonesia > India > Mexico\n",
      "dark : USA > UK > France > Brazil > Italy > Germany > Spain > Indonesia > Mexico > India\n",
      "\n",
      "gender vs brand\n",
      "brand categories : ['ARMANI', 'GARNIER', 'LANCOME', 'LRP', 'MNY', 'OAP', 'VICHY', 'YSL', 'CERAVE', 'KERASTASE', 'LOP', 'KIEHLS', 'MAYBELLINE', 'NYX', 'PRADA', 'REDKEN', 'BIOTHERM']\n",
      "removed categories : []\n",
      "male : PRADA > ARMANI > LRP > VICHY > OAP > YSL > CERAVE > KIEHLS > NYX > KERASTASE > GARNIER > BIOTHERM > LOP > LANCOME > REDKEN > MAYBELLINE > MNY\n",
      "female : MNY > MAYBELLINE > REDKEN > LANCOME > LOP > BIOTHERM > GARNIER > KERASTASE > NYX > KIEHLS > CERAVE > YSL > OAP > VICHY > LRP > ARMANI > PRADA\n",
      "\n",
      "age vs brand\n",
      "brand categories : ['ARMANI', 'GARNIER', 'LANCOME', 'LRP', 'MNY', 'OAP', 'VICHY', 'YSL', 'CERAVE', 'KERASTASE', 'LOP', 'KIEHLS', 'MAYBELLINE', 'NYX', 'PRADA', 'REDKEN', 'BIOTHERM']\n",
      "removed categories : []\n",
      "<15y : CERAVE > GARNIER > NYX > MNY > LOP > LRP > MAYBELLINE > YSL > KERASTASE > PRADA > KIEHLS > REDKEN > VICHY > ARMANI > BIOTHERM > OAP > LANCOME\n",
      "15y-25y : MNY > LOP > REDKEN > NYX > YSL > MAYBELLINE > KERASTASE > LRP > GARNIER > BIOTHERM > VICHY > CERAVE > LANCOME > ARMANI > KIEHLS > OAP > PRADA\n",
      "25y-35y : PRADA > ARMANI > OAP > LANCOME > BIOTHERM > CERAVE > VICHY > KIEHLS > GARNIER > LRP > KERASTASE > MAYBELLINE > YSL > NYX > LOP > MNY > REDKEN\n",
      "35y-45y : REDKEN > KIEHLS > OAP > VICHY > LANCOME > BIOTHERM > KERASTASE > ARMANI > CERAVE > PRADA > LRP > NYX > MNY > YSL > LOP > GARNIER > MAYBELLINE\n",
      "45-75y : KIEHLS > VICHY > OAP > KERASTASE > ARMANI > YSL > BIOTHERM > LRP > MNY > LANCOME > NYX > GARNIER > MAYBELLINE > CERAVE > LOP > PRADA > REDKEN\n",
      "\n",
      "skin tone vs brand\n",
      "brand categories : ['ARMANI', 'GARNIER', 'LANCOME', 'LRP', 'MNY', 'OAP', 'VICHY', 'YSL', 'CERAVE', 'KERASTASE', 'LOP', 'KIEHLS', 'MAYBELLINE', 'NYX', 'PRADA', 'REDKEN', 'BIOTHERM']\n",
      "removed categories : []\n",
      "light : LOP > CERAVE > KERASTASE > BIOTHERM > VICHY > PRADA > REDKEN > GARNIER > MNY > LANCOME > OAP > LRP > KIEHLS > ARMANI > MAYBELLINE > YSL > NYX\n",
      "medium : KIEHLS > NYX > MAYBELLINE > REDKEN > MNY > OAP > ARMANI > LRP > LANCOME > GARNIER > YSL > VICHY > PRADA > LOP > CERAVE > KERASTASE > BIOTHERM\n",
      "dark : YSL > NYX > ARMANI > LRP > MAYBELLINE > PRADA > BIOTHERM > KIEHLS > OAP > GARNIER > KERASTASE > LANCOME > VICHY > MNY > CERAVE > LOP > REDKEN\n",
      "\n",
      "gender vs product type\n",
      "product type categories : ['fragrance', 'haircare', 'makeup', 'skincare']\n",
      "removed categories : []\n",
      "male : fragrance > skincare > makeup > haircare\n",
      "female : haircare > makeup > skincare > fragrance\n",
      "\n",
      "age vs product type\n",
      "product type categories : ['fragrance', 'haircare', 'makeup', 'skincare']\n",
      "removed categories : []\n",
      "<15y : makeup = haircare > skincare > fragrance\n",
      "15y-25y : makeup > haircare > skincare > fragrance\n",
      "25y-35y : fragrance > skincare > haircare > makeup\n",
      "35y-45y : skincare > fragrance > makeup > haircare\n",
      "45-75y : skincare > makeup > fragrance > haircare\n",
      "\n",
      "skin tone vs product type\n",
      "product type categories : ['fragrance', 'haircare', 'makeup', 'skincare']\n",
      "removed categories : []\n",
      "light : haircare > fragrance > skincare > makeup\n",
      "medium : makeup > skincare > haircare > fragrance\n",
      "dark : fragrance > makeup > skincare > haircare\n",
      "\n",
      "gender vs product target gender\n",
      "product target gender categories : ['female', 'male', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "male : male > unisex > female > unspecified\n",
      "female : unspecified > female > unisex > male\n",
      "\n",
      "age vs product target gender\n",
      "product target gender categories : ['female', 'male', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "<15y : unisex > unspecified > female > male\n",
      "15y-25y : unspecified > unisex = female > male\n",
      "25y-35y : male > female > unisex = unspecified\n",
      "35y-45y : male > female > unisex = unspecified\n",
      "45-75y : female > unspecified > unisex = male\n",
      "\n",
      "skin tone vs product target gender\n",
      "product target gender categories : ['female', 'male', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "light : unisex > unspecified = female = male\n",
      "medium : male = unspecified > female > unisex\n",
      "dark : female = male > unspecified > unisex\n",
      "\n"
     ]
    }
   ],
   "source": [
    "metadata_vars = [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "rp_vars = [\"gender\", \"age\", \"skin tone\"]\n",
    "\n",
    "for metadata in metadata_vars:\n",
    "    for rp in rp_vars:\n",
    "        metadata_x_rp(data_df, rp_data2, metadata, rp)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demographic Identity Diversity vs Metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# metadata vs rp var\n",
    "\n",
    "def metadata_x_rp_std(df, rp_data, metadata, rp, confidence=0.05):\n",
    "    assert rp in [\"gender\", \"age\", \"skin tone\"]\n",
    "    assert metadata in [\"country\", \"advertiser\", \"product type\", \"target gender\"]\n",
    "    if metadata == \"country\":\n",
    "        column = \"Country\"\n",
    "    elif metadata == \"advertiser\":\n",
    "        column = \"ProductAdvertiser\"\n",
    "    elif metadata == \"product type\":\n",
    "        column = \"brand_category\"\n",
    "    else:\n",
    "        column = \"targetgender\"\n",
    "    metadata_cat_to_count = collections.Counter(df[column])\n",
    "    metadata_cats = [metadata_cat for metadata_cat, count in metadata_cat_to_count.items() if count >= 30]\n",
    "    metadata_cats = sorted(metadata_cats, key=lambda x: metadata_cat_to_count[x], reverse=True)\n",
    "    removed_metadata_cats = [x for x in df[column].unique() if x not in metadata_cats]\n",
    "    print(f\"{metadata} : {metadata_cats}\")\n",
    "    print(f\"removed columns : {removed_metadata_cats}\")\n",
    "    if rp == \"gender\":\n",
    "        rp_cats = gender_cats\n",
    "    elif rp == \"age\":\n",
    "        rp_cats = age_cats2\n",
    "    else:\n",
    "        rp_cats = skintone_cats2\n",
    "    rp_arr = np.zeros((df[column].isin(metadata_cats).sum(), len(rp_cats)))\n",
    "    metadata_arr = []\n",
    "\n",
    "    j = 0\n",
    "    for i, row in df.iterrows():\n",
    "        metadata_value = row[column]\n",
    "        if metadata_value in metadata_cats:\n",
    "            metadata_arr.append(metadata_value)\n",
    "            if rp == \"gender\":\n",
    "                rp_arr[j] = rp_data[i].sum(axis=(1, 2))\n",
    "            elif rp == \"age\":\n",
    "                rp_arr[j] = rp_data[i].sum(axis=(0, 2))\n",
    "            else:\n",
    "                rp_arr[j] = rp_data[i].sum(axis=(0, 1))\n",
    "            j += 1\n",
    "    metadata_arr = np.array(metadata_arr)\n",
    "\n",
    "    plt.figure(figsize=(25, 10))\n",
    "    colors = plt.get_cmap(\"Paired\").colors\n",
    "    x = np.arange(len(metadata_cats))\n",
    "    bar_width = 0.8\n",
    "    rv = 2 * np.arange(len(rp_cats)).reshape(1, -1)/(len(rp_cats) - 1)\n",
    "    n = rp_arr.sum(axis=1)\n",
    "    mean = (rp_arr * rv).sum(axis=1)/n\n",
    "    var = ((rp_arr * rv**2).sum(axis=1) - n * mean**2)/(n - 1 + 1e-8)\n",
    "    stddev = np.sqrt(var)\n",
    "    y = [stddev[metadata_arr == metadata_cat].mean() for metadata_cat in metadata_cats]\n",
    "    metadata_cats = np.array(metadata_cats)\n",
    "    metadata_cats = metadata_cats[np.argsort(y)]\n",
    "    y = 100*np.sort(y)\n",
    "    bc = plt.bar(x, y, width=bar_width, color=colors[2])\n",
    "    plt.bar_label(bc, [f\"{yy:.1f}\" for yy in y], padding=5)\n",
    "    bottom, top = plt.ylim()\n",
    "    plt.ylim(bottom, top + 10)\n",
    "    plt.ylabel(f\"100 * AVERAGE {rp.upper()} STDDEV\")\n",
    "    plt.xticks(x, metadata_cats, fontsize=\"small\")\n",
    "    plt.xlabel(metadata)\n",
    "    plt.title(f\"DISTRIBUTION OF AVERAGE {rp.upper()} STDDEV OVER {metadata.upper()}\")\n",
    "    plt.savefig(f\"plots/{rp}_diversity_x_{metadata}.png\")\n",
    "    plt.close()\n",
    "\n",
    "    metadata_to_rp_arr = {metadata_cat:stddev[metadata_arr == metadata_cat] for metadata_cat in metadata_cats}\n",
    "    metadata_sorted_by_mean = sorted(metadata_cats, key=lambda x: metadata_to_rp_arr[x].mean())\n",
    "    pvalues = []\n",
    "    for j in range(len(metadata_cats) - 1):\n",
    "        cat1, cat2 = metadata_sorted_by_mean[j], metadata_sorted_by_mean[j + 1]\n",
    "        arr1, arr2 = metadata_to_rp_arr[cat1], metadata_to_rp_arr[cat2]\n",
    "        _, pvalue = scipy.stats.ttest_ind(arr1, arr2, equal_var=False, alternative=\"less\")\n",
    "        pvalues.append(pvalue)\n",
    "    significant = np.array(pvalues)/(len(metadata_cats) - 1) < confidence\n",
    "    for j in range(len(metadata_cats) - 1):\n",
    "        cat = metadata_sorted_by_mean[j]\n",
    "        sign = \"<\" if significant[j] else \"=\"\n",
    "        print(f\"{cat} {sign} \", end=\"\")\n",
    "    print(metadata_sorted_by_mean[-1])\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "country : ['Germany', 'UK', 'France', 'Italy', 'USA', 'Spain', 'Brazil', 'India', 'Mexico', 'Indonesia']\n",
      "removed columns : ['Canada']\n",
      "Italy < Brazil < Spain < UK < Germany < France = Mexico < USA < India = Indonesia\n",
      "\n",
      "country : ['Germany', 'UK', 'France', 'Italy', 'USA', 'Spain', 'Brazil', 'India', 'Mexico', 'Indonesia']\n",
      "removed columns : ['Canada']\n",
      "USA < Italy < Germany < UK < France < Spain < Brazil < India < Indonesia < Mexico\n",
      "\n",
      "country : ['Germany', 'UK', 'France', 'Italy', 'USA', 'Spain', 'Brazil', 'India', 'Mexico', 'Indonesia']\n",
      "removed columns : ['Canada']\n",
      "India = Mexico < Indonesia < Germany < Spain < Italy < France < Brazil < USA < UK\n",
      "\n",
      "advertiser : ['GARNIER', 'OAP', 'LRP', 'YSL', 'VICHY', 'LANCOME', 'KIEHLS', 'MNY', 'MAYBELLINE', 'ARMANI', 'KERASTASE', 'NYX', 'CERAVE', 'LOP', 'PRADA', 'BIOTHERM', 'REDKEN']\n",
      "removed columns : []\n",
      "REDKEN < PRADA < OAP < MNY < LANCOME < VICHY < MAYBELLINE < KERASTASE < BIOTHERM < CERAVE < GARNIER < ARMANI < LOP < KIEHLS < NYX < LRP < YSL\n",
      "\n",
      "advertiser : ['GARNIER', 'OAP', 'LRP', 'YSL', 'VICHY', 'LANCOME', 'KIEHLS', 'MNY', 'MAYBELLINE', 'ARMANI', 'KERASTASE', 'NYX', 'CERAVE', 'LOP', 'PRADA', 'BIOTHERM', 'REDKEN']\n",
      "removed columns : []\n",
      "REDKEN < PRADA < LANCOME < CERAVE < ARMANI < LRP < OAP < YSL < GARNIER < LOP < MAYBELLINE < VICHY < KIEHLS < NYX < BIOTHERM < MNY < KERASTASE\n",
      "\n",
      "advertiser : ['GARNIER', 'OAP', 'LRP', 'YSL', 'VICHY', 'LANCOME', 'KIEHLS', 'MNY', 'MAYBELLINE', 'ARMANI', 'KERASTASE', 'NYX', 'CERAVE', 'LOP', 'PRADA', 'BIOTHERM', 'REDKEN']\n",
      "removed columns : []\n",
      "CERAVE < REDKEN < BIOTHERM < VICHY < LOP < KERASTASE < MNY < LANCOME < GARNIER < LRP < KIEHLS < OAP < MAYBELLINE < ARMANI < YSL < NYX < PRADA\n",
      "\n",
      "product type : ['makeup', 'skincare', 'haircare', 'fragrance']\n",
      "removed columns : []\n",
      "haircare < makeup < skincare < fragrance\n",
      "\n",
      "product type : ['makeup', 'skincare', 'haircare', 'fragrance']\n",
      "removed columns : []\n",
      "fragrance < skincare < makeup = haircare\n",
      "\n",
      "product type : ['makeup', 'skincare', 'haircare', 'fragrance']\n",
      "removed columns : []\n",
      "haircare < skincare < makeup < fragrance\n",
      "\n",
      "target gender : ['unspecified', 'female', 'male', 'both']\n",
      "removed columns : []\n",
      "male < unspecified < female < both\n",
      "\n",
      "target gender : ['unspecified', 'female', 'male', 'both']\n",
      "removed columns : []\n",
      "male < female = both < unspecified\n",
      "\n",
      "target gender : ['unspecified', 'female', 'male', 'both']\n",
      "removed columns : []\n",
      "both < female = unspecified < male\n",
      "\n"
     ]
    }
   ],
   "source": [
    "metadata_vars = [\"country\", \"advertiser\", \"product type\", \"target gender\"]\n",
    "rp_vars = [\"gender\", \"age\", \"skin tone\"]\n",
    "\n",
    "for metadata in metadata_vars:\n",
    "    for rp in rp_vars:\n",
    "        metadata_x_rp_std(data_df, rp_data2, metadata, rp)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demographic Identity vs Metadata Pair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "country x brand\n",
      "52 (country, brand) pairs have atleast 30 samples\n",
      "6 countrys have atleast 2 brands with atleast 30 samples: ['France' 'Germany' 'Italy' 'Spain' 'UK' 'USA']\n",
      "13 brands have atleast 2 countrys with atleast 30 samples: ['ARMANI' 'CERAVE' 'GARNIER' 'KERASTASE' 'KIEHLS' 'LANCOME' 'LOP' 'LRP'\n",
      " 'MAYBELLINE' 'NYX' 'OAP' 'VICHY' 'YSL']\n",
      "\n",
      "country x product type\n",
      "26 (country, product type) pairs have atleast 30 samples\n",
      "6 countrys have atleast 2 product types with atleast 30 samples: ['France' 'Germany' 'Italy' 'Spain' 'UK' 'USA']\n",
      "4 product types have atleast 2 countrys with atleast 30 samples: ['fragrance' 'haircare' 'makeup' 'skincare']\n",
      "\n",
      "country x product target gender\n",
      "20 (country, product target gender) pairs have atleast 30 samples\n",
      "6 countrys have atleast 2 product target genders with atleast 30 samples: ['France' 'Germany' 'Italy' 'Spain' 'UK' 'USA']\n",
      "4 product target genders have atleast 2 countrys with atleast 30 samples: ['female' 'male' 'unisex' 'unspecified']\n",
      "\n",
      "brand x product type\n",
      "30 (brand, product type) pairs have atleast 30 samples\n",
      "9 brands have atleast 2 product types with atleast 30 samples: ['ARMANI' 'GARNIER' 'KIEHLS' 'LANCOME' 'LRP' 'MNY' 'OAP' 'VICHY' 'YSL']\n",
      "4 product types have atleast 2 brands with atleast 30 samples: ['fragrance' 'haircare' 'makeup' 'skincare']\n",
      "\n",
      "brand x product target gender\n",
      "29 (brand, product target gender) pairs have atleast 30 samples\n",
      "9 brands have atleast 2 product target genders with atleast 30 samples: ['ARMANI' 'CERAVE' 'GARNIER' 'KIEHLS' 'LANCOME' 'LRP' 'OAP' 'VICHY' 'YSL']\n",
      "4 product target genders have atleast 2 brands with atleast 30 samples: ['female' 'male' 'unisex' 'unspecified']\n",
      "\n",
      "product type x product target gender\n",
      "10 (product type, product target gender) pairs have atleast 30 samples\n",
      "3 product types have atleast 2 product target genders with atleast 30 samples: ['fragrance' 'haircare' 'skincare']\n",
      "3 product target genders have atleast 2 product types with atleast 30 samples: ['female' 'male' 'unspecified']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "metadata_columns = [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "\n",
    "for i in range(len(metadata_columns)):\n",
    "    for j in range(i + 1, len(metadata_columns)):\n",
    "        col1 = metadata_columns[i]\n",
    "        col2 = metadata_columns[j]\n",
    "        gdf = data_df.groupby([col1, col2]).count()[\"Creative ID\"].reset_index().rename(columns={\"Creative ID\": \"n\"})\n",
    "        print(f\"{col1} x {col2}\")\n",
    "        n = (gdf.n >= 30).sum()\n",
    "        gdf1 = gdf[gdf.n >= 30].groupby(col1).count()[\"n\"].reset_index()\n",
    "        n1 = (gdf1.n > 1).sum()\n",
    "        cats1 = gdf1.loc[gdf1.n > 1, col1].values\n",
    "        gdf2 = gdf[gdf.n >= 30].groupby(col2).count()[\"n\"].reset_index()\n",
    "        n2 = (gdf2.n > 1).sum()\n",
    "        cats2 = gdf2.loc[gdf2.n > 1, col2].values\n",
    "        print(f\"{n} ({col1}, {col2}) pairs have atleast 30 samples\")\n",
    "        print(f\"{n1} {col1}s have atleast 2 {col2}s with atleast 30 samples: {cats1}\")\n",
    "        print(f\"{n2} {col2}s have atleast 2 {col1}s with atleast 30 samples: {cats2}\")\n",
    "        print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def metadata2_x_rp(df, rp_data, metadata1, metadata2, rp, confidence=0.05):\n",
    "    assert rp in [\"gender\", \"age\", \"skin tone\"]\n",
    "    assert metadata1 in [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "    assert metadata2 in [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "    metadata1_cats = df[metadata1].unique()\n",
    "    metadata2_cats = df[metadata2].unique()\n",
    "    \n",
    "    for metadata1_cat in metadata1_cats:\n",
    "        index = df[metadata1] == metadata1_cat\n",
    "        fdf = df[index].copy()\n",
    "        fdf.index = pd.RangeIndex(0, len(fdf))\n",
    "        metadata_x_rp(fdf, rp_data[index], metadata=metadata2, rp=rp, confidence=confidence, \n",
    "                      condition=f\"{metadata1}={metadata1_cat}\")\n",
    "    \n",
    "    for metadata2_cat in metadata2_cats:\n",
    "        index = df[metadata2] == metadata2_cat\n",
    "        fdf = df[index].copy()\n",
    "        fdf.index = pd.RangeIndex(0, len(fdf))\n",
    "        metadata_x_rp(fdf, rp_data[index], metadata=metadata1, rp=rp, confidence=confidence, \n",
    "                      condition=f\"{metadata2}={metadata2_cat}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gender vs brand country=USA\n",
      "brand categories : ['ARMANI', 'CERAVE', 'GARNIER', 'MAYBELLINE', 'NYX', 'OAP', 'YSL']\n",
      "removed categories : ['KIEHLS', 'LANCOME', 'LRP', 'PRADA', 'REDKEN', 'VICHY']\n",
      "male : CERAVE = YSL > OAP > ARMANI = MAYBELLINE > GARNIER > NYX\n",
      "female : NYX > GARNIER > MAYBELLINE = ARMANI > OAP > YSL = CERAVE\n",
      "\n",
      "gender vs brand country=France\n",
      "brand categories : ['GARNIER', 'KIEHLS', 'LANCOME', 'LRP', 'MAYBELLINE', 'OAP', 'VICHY']\n",
      "removed categories : ['ARMANI', 'BIOTHERM', 'CERAVE', 'KERASTASE', 'LOP', 'NYX', 'PRADA', 'YSL']\n",
      "male : KIEHLS > LRP = VICHY > GARNIER > LANCOME > OAP > MAYBELLINE\n",
      "female : MAYBELLINE > OAP > LANCOME > GARNIER > VICHY = LRP > KIEHLS\n",
      "\n",
      "gender vs brand country=Germany\n",
      "brand categories : ['ARMANI', 'BIOTHERM', 'CERAVE', 'GARNIER', 'KERASTASE', 'KIEHLS', 'LANCOME', 'LOP', 'LRP', 'MNY', 'NYX', 'VICHY', 'YSL']\n",
      "removed categories : ['PRADA', 'REDKEN']\n",
      "male : VICHY > LRP > ARMANI > NYX > YSL > CERAVE > KERASTASE > GARNIER > KIEHLS > BIOTHERM > LANCOME > MNY > LOP\n",
      "female : LOP > MNY > LANCOME > BIOTHERM > KIEHLS > GARNIER > KERASTASE > CERAVE > YSL > NYX > ARMANI > LRP > VICHY\n",
      "\n",
      "gender vs brand country=Italy\n",
      "brand categories : ['ARMANI', 'GARNIER', 'KIEHLS', 'LANCOME', 'MAYBELLINE', 'OAP', 'YSL']\n",
      "removed categories : ['BIOTHERM', 'CERAVE', 'KERASTASE', 'LOP', 'LRP', 'NYX', 'PRADA', 'REDKEN']\n",
      "male : ARMANI > YSL = LANCOME > KIEHLS > OAP = GARNIER > MAYBELLINE\n",
      "female : MAYBELLINE > GARNIER = OAP > KIEHLS > LANCOME = YSL > ARMANI\n",
      "\n",
      "gender vs brand country=Spain\n",
      "brand categories : ['GARNIER', 'LANCOME', 'OAP']\n",
      "removed categories : ['ARMANI', 'BIOTHERM', 'KERASTASE', 'KIEHLS', 'LOP', 'LRP', 'MAYBELLINE', 'NYX', 'REDKEN', 'VICHY', 'YSL']\n",
      "male : GARNIER = OAP = LANCOME\n",
      "female : LANCOME = OAP = GARNIER\n",
      "\n",
      "gender vs brand country=UK\n",
      "brand categories : ['ARMANI', 'CERAVE', 'GARNIER', 'KERASTASE', 'KIEHLS', 'LANCOME', 'LOP', 'LRP', 'MAYBELLINE', 'NYX', 'OAP', 'PRADA', 'VICHY', 'YSL']\n",
      "removed categories : ['REDKEN']\n",
      "male : PRADA > OAP > LRP > YSL > ARMANI > VICHY > CERAVE > LOP > NYX > KIEHLS > GARNIER > MAYBELLINE > KERASTASE > LANCOME\n",
      "female : LANCOME > KERASTASE > MAYBELLINE > GARNIER > KIEHLS > NYX > LOP > CERAVE > VICHY > ARMANI > YSL > LRP > OAP > PRADA\n",
      "\n",
      "gender vs country brand=ARMANI\n",
      "country categories : ['USA', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'France', 'Spain']\n",
      "male : Italy > Germany > UK > USA\n",
      "female : USA > UK > Germany > Italy\n",
      "\n",
      "gender vs country brand=GARNIER\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Mexico', 'Indonesia']\n",
      "male : India > Germany = France > UK > USA > Spain = Italy\n",
      "female : Italy = Spain > USA > UK > France = Germany > India\n",
      "\n",
      "gender vs country brand=LANCOME\n",
      "country categories : ['France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'USA', 'Canada']\n",
      "male : Italy = Germany = France > Spain = UK\n",
      "female : UK = Spain > France = Germany = Italy\n",
      "\n",
      "gender vs country brand=LRP\n",
      "country categories : ['France', 'Germany', 'UK']\n",
      "removed categories : ['Mexico', 'USA', 'Italy', 'Spain']\n",
      "male : UK = France = Germany\n",
      "female : Germany = France = UK\n",
      "\n",
      "gender vs country brand=OAP\n",
      "country categories : ['USA', 'France', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'India']\n",
      "male : UK > USA > France > Spain = Italy\n",
      "female : Italy = Spain > France > USA > UK\n",
      "\n",
      "gender vs country brand=VICHY\n",
      "country categories : ['France', 'Germany', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'USA', 'Spain']\n",
      "male : Germany = France > UK\n",
      "female : UK > France = Germany\n",
      "\n",
      "gender vs country brand=YSL\n",
      "country categories : ['USA', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'France', 'Spain']\n",
      "male : UK = Germany = USA = Italy\n",
      "female : Italy = USA = Germany = UK\n",
      "\n",
      "gender vs country brand=CERAVE\n",
      "country categories : ['USA', 'Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy']\n",
      "male : USA = Germany = UK\n",
      "female : UK = Germany = USA\n",
      "\n",
      "gender vs country brand=KERASTASE\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy', 'Spain']\n",
      "male : Germany > UK\n",
      "female : UK > Germany\n",
      "\n",
      "gender vs country brand=LOP\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy', 'Spain']\n",
      "male : UK > Germany\n",
      "female : Germany > UK\n",
      "\n",
      "gender vs country brand=KIEHLS\n",
      "country categories : ['France', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['USA', 'Spain']\n",
      "male : France > Germany > UK = Italy\n",
      "female : Italy = UK > Germany > France\n",
      "\n",
      "gender vs country brand=MAYBELLINE\n",
      "country categories : ['USA', 'France', 'Italy', 'UK']\n",
      "removed categories : ['Spain', 'Indonesia']\n",
      "male : UK = USA > France = Italy\n",
      "female : Italy = France > USA = UK\n",
      "\n",
      "gender vs country brand=NYX\n",
      "country categories : ['USA', 'Germany', 'UK']\n",
      "removed categories : ['France', 'Italy', 'Spain']\n",
      "male : Germany > UK > USA\n",
      "female : USA > UK > Germany\n",
      "\n",
      "age vs brand country=USA\n",
      "brand categories : ['ARMANI', 'CERAVE', 'GARNIER', 'MAYBELLINE', 'NYX', 'OAP', 'YSL']\n",
      "removed categories : ['KIEHLS', 'LANCOME', 'LRP', 'PRADA', 'REDKEN', 'VICHY']\n",
      "<15y : MAYBELLINE > CERAVE > YSL > NYX = ARMANI = GARNIER > OAP\n",
      "15y-25y : NYX > ARMANI > MAYBELLINE = YSL > GARNIER > CERAVE > OAP\n",
      "25y-35y : OAP > CERAVE > GARNIER > YSL > MAYBELLINE = ARMANI = NYX\n",
      "35y-45y : OAP > MAYBELLINE = CERAVE = GARNIER > YSL > ARMANI > NYX\n",
      "45-75y : ARMANI > OAP > GARNIER = YSL > CERAVE > MAYBELLINE > NYX\n",
      "\n",
      "age vs brand country=France\n",
      "brand categories : ['GARNIER', 'KIEHLS', 'LANCOME', 'LRP', 'MAYBELLINE', 'OAP', 'VICHY']\n",
      "removed categories : ['ARMANI', 'BIOTHERM', 'CERAVE', 'KERASTASE', 'LOP', 'NYX', 'PRADA', 'YSL']\n",
      "<15y : GARNIER > MAYBELLINE = VICHY > KIEHLS = LRP > OAP = LANCOME\n",
      "15y-25y : LRP > VICHY > MAYBELLINE > OAP = GARNIER > LANCOME = KIEHLS\n",
      "25y-35y : KIEHLS > LANCOME > OAP > GARNIER = MAYBELLINE > VICHY > LRP\n",
      "35y-45y : OAP > GARNIER > VICHY = LANCOME > LRP = MAYBELLINE > KIEHLS\n",
      "45-75y : OAP > VICHY > LRP > GARNIER > LANCOME = MAYBELLINE > KIEHLS\n",
      "\n",
      "age vs brand country=Germany\n",
      "brand categories : ['ARMANI', 'BIOTHERM', 'CERAVE', 'GARNIER', 'KERASTASE', 'KIEHLS', 'LANCOME', 'LOP', 'LRP', 'MNY', 'NYX', 'VICHY', 'YSL']\n",
      "removed categories : ['PRADA', 'REDKEN']\n",
      "<15y : GARNIER > LRP > YSL > MNY > NYX > KERASTASE > KIEHLS > LOP > CERAVE > ARMANI > VICHY > BIOTHERM > LANCOME\n",
      "15y-25y : LOP > MNY > NYX > YSL > GARNIER > KERASTASE > LRP > BIOTHERM > CERAVE > VICHY > LANCOME > KIEHLS > ARMANI\n",
      "25y-35y : ARMANI > LANCOME > CERAVE > BIOTHERM > VICHY > LRP > KIEHLS > KERASTASE > NYX > GARNIER > YSL > LOP > MNY\n",
      "35y-45y : KIEHLS > VICHY > LANCOME > YSL > BIOTHERM > KERASTASE > ARMANI > LOP > CERAVE > LRP > MNY > GARNIER > NYX\n",
      "45-75y : KIEHLS > VICHY > KERASTASE > ARMANI > YSL > BIOTHERM > LRP > LANCOME > MNY > LOP > CERAVE > GARNIER > NYX\n",
      "\n",
      "age vs brand country=Italy\n",
      "brand categories : ['ARMANI', 'GARNIER', 'KIEHLS', 'LANCOME', 'MAYBELLINE', 'OAP', 'YSL']\n",
      "removed categories : ['BIOTHERM', 'CERAVE', 'KERASTASE', 'LOP', 'LRP', 'NYX', 'PRADA', 'REDKEN']\n",
      "<15y : GARNIER > MAYBELLINE > YSL = OAP > ARMANI > LANCOME > KIEHLS\n",
      "15y-25y : MAYBELLINE > YSL > LANCOME = GARNIER = OAP > KIEHLS > ARMANI\n",
      "25y-35y : ARMANI > OAP > LANCOME > GARNIER > YSL = KIEHLS > MAYBELLINE\n",
      "35y-45y : KIEHLS = LANCOME > OAP > YSL = ARMANI > GARNIER > MAYBELLINE\n",
      "45-75y : KIEHLS > ARMANI > LANCOME = OAP > GARNIER > MAYBELLINE > YSL\n",
      "\n",
      "age vs brand country=Spain\n",
      "brand categories : ['GARNIER', 'LANCOME', 'OAP']\n",
      "removed categories : ['ARMANI', 'BIOTHERM', 'KERASTASE', 'KIEHLS', 'LOP', 'LRP', 'MAYBELLINE', 'NYX', 'REDKEN', 'VICHY', 'YSL']\n",
      "<15y : GARNIER > OAP = LANCOME\n",
      "15y-25y : GARNIER = LANCOME = OAP\n",
      "25y-35y : OAP = LANCOME > GARNIER\n",
      "35y-45y : LANCOME = OAP = GARNIER\n",
      "45-75y : OAP = GARNIER = LANCOME\n",
      "\n",
      "age vs brand country=UK\n",
      "brand categories : ['ARMANI', 'CERAVE', 'GARNIER', 'KERASTASE', 'KIEHLS', 'LANCOME', 'LOP', 'LRP', 'MAYBELLINE', 'NYX', 'OAP', 'PRADA', 'VICHY', 'YSL']\n",
      "removed categories : ['REDKEN']\n",
      "<15y : CERAVE > LOP > NYX > MAYBELLINE > GARNIER > KERASTASE > KIEHLS > YSL > ARMANI > OAP > PRADA > LANCOME > LRP > VICHY\n",
      "15y-25y : LOP > LRP > KERASTASE > NYX > YSL > MAYBELLINE > ARMANI > LANCOME > GARNIER > KIEHLS > VICHY > CERAVE > OAP > PRADA\n",
      "25y-35y : PRADA > OAP > KIEHLS > GARNIER > LANCOME > MAYBELLINE > ARMANI > YSL > VICHY > KERASTASE > NYX > CERAVE > LRP > LOP\n",
      "35y-45y : OAP > VICHY > ARMANI > KIEHLS > NYX > PRADA > LRP > YSL > GARNIER > LANCOME > CERAVE > MAYBELLINE > KERASTASE > LOP\n",
      "45-75y : VICHY > KIEHLS > YSL > LRP > NYX > OAP > GARNIER > MAYBELLINE > ARMANI > KERASTASE > CERAVE > LANCOME > PRADA = LOP\n",
      "\n",
      "age vs country brand=ARMANI\n",
      "country categories : ['USA', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'France', 'Spain']\n",
      "<15y : USA = Germany = UK > Italy\n",
      "15y-25y : USA > UK > Germany = Italy\n",
      "25y-35y : Italy > Germany > UK > USA\n",
      "35y-45y : UK > Germany > Italy > USA\n",
      "45-75y : USA = Italy = Germany = UK\n",
      "\n",
      "age vs country brand=GARNIER\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Mexico', 'Indonesia']\n",
      "<15y : Italy > France > Germany = Spain > UK > USA > India\n",
      "15y-25y : Germany = USA > UK > Spain = France > Italy > India\n",
      "25y-35y : India > Spain = UK = Italy > France > USA > Germany\n",
      "35y-45y : India > France > Spain > USA = UK > Italy > Germany\n",
      "45-75y : Spain = UK = France = USA > Italy = India > Germany\n",
      "\n",
      "age vs country brand=LANCOME\n",
      "country categories : ['France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'USA', 'Canada']\n",
      "<15y : France = Spain = Germany = UK = Italy\n",
      "15y-25y : UK > Italy = France = Germany = Spain\n",
      "25y-35y : Spain = Germany = France = Italy > UK\n",
      "35y-45y : Spain = Italy = Germany > France > UK\n",
      "45-75y : Italy = Germany = France = Spain > UK\n",
      "\n",
      "age vs country brand=LRP\n",
      "country categories : ['France', 'Germany', 'UK']\n",
      "removed categories : ['Mexico', 'USA', 'Italy', 'Spain']\n",
      "<15y : Germany > France > UK\n",
      "15y-25y : UK = France > Germany\n",
      "25y-35y : Germany > France = UK\n",
      "35y-45y : UK = France = Germany\n",
      "45-75y : France = UK > Germany\n",
      "\n",
      "age vs country brand=OAP\n",
      "country categories : ['USA', 'France', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'India']\n",
      "<15y : USA = Spain = UK = France = Italy\n",
      "15y-25y : France > Italy = USA > Spain > UK\n",
      "25y-35y : Spain = UK > Italy > USA > France\n",
      "35y-45y : UK = USA > France > Spain > Italy\n",
      "45-75y : France = Spain > UK = USA = Italy\n",
      "\n",
      "age vs country brand=VICHY\n",
      "country categories : ['France', 'Germany', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'USA', 'Spain']\n",
      "<15y : France > Germany > UK\n",
      "15y-25y : France > Germany = UK\n",
      "25y-35y : Germany > UK = France\n",
      "35y-45y : UK > Germany > France\n",
      "45-75y : UK > Germany > France\n",
      "\n",
      "age vs country brand=YSL\n",
      "country categories : ['USA', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'France', 'Spain']\n",
      "<15y : Germany = USA > UK > Italy\n",
      "15y-25y : USA > UK = Germany = Italy\n",
      "25y-35y : Italy > UK = Germany = USA\n",
      "35y-45y : Germany > UK > Italy = USA\n",
      "45-75y : UK > Germany = USA > Italy\n",
      "\n",
      "age vs country brand=CERAVE\n",
      "country categories : ['USA', 'Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy']\n",
      "<15y : UK > USA > Germany\n",
      "15y-25y : USA = Germany > UK\n",
      "25y-35y : Germany > USA > UK\n",
      "35y-45y : USA = Germany = UK\n",
      "45-75y : UK = USA = Germany\n",
      "\n",
      "age vs country brand=KERASTASE\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy', 'Spain']\n",
      "<15y : UK = Germany\n",
      "15y-25y : UK > Germany\n",
      "25y-35y : Germany = UK\n",
      "35y-45y : Germany > UK\n",
      "45-75y : Germany > UK\n",
      "\n",
      "age vs country brand=LOP\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy', 'Spain']\n",
      "<15y : UK > Germany\n",
      "15y-25y : UK = Germany\n",
      "25y-35y : Germany > UK\n",
      "35y-45y : Germany > UK\n",
      "45-75y : Germany > UK\n",
      "\n",
      "age vs country brand=KIEHLS\n",
      "country categories : ['France', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['USA', 'Spain']\n",
      "<15y : UK = Germany = France > Italy\n",
      "15y-25y : UK > France = Italy = Germany\n",
      "25y-35y : France > UK = Italy = Germany\n",
      "35y-45y : Germany > Italy = UK > France\n",
      "45-75y : Italy = Germany > UK > France\n",
      "\n",
      "age vs country brand=MAYBELLINE\n",
      "country categories : ['USA', 'France', 'Italy', 'UK']\n",
      "removed categories : ['Spain', 'Indonesia']\n",
      "<15y : USA > Italy = UK > France\n",
      "15y-25y : USA = Italy > UK = France\n",
      "25y-35y : France > UK > Italy > USA\n",
      "35y-45y : USA = France = UK > Italy\n",
      "45-75y : UK > France > USA = Italy\n",
      "\n",
      "age vs country brand=NYX\n",
      "country categories : ['USA', 'Germany', 'UK']\n",
      "removed categories : ['France', 'Italy', 'Spain']\n",
      "<15y : UK > Germany > USA\n",
      "15y-25y : USA > Germany = UK\n",
      "25y-35y : Germany > UK = USA\n",
      "35y-45y : UK > Germany > USA\n",
      "45-75y : UK > USA = Germany\n",
      "\n",
      "skin tone vs brand country=USA\n",
      "brand categories : ['ARMANI', 'CERAVE', 'GARNIER', 'MAYBELLINE', 'NYX', 'OAP', 'YSL']\n",
      "removed categories : ['KIEHLS', 'LANCOME', 'LRP', 'PRADA', 'REDKEN', 'VICHY']\n",
      "light : CERAVE > YSL = GARNIER = OAP > MAYBELLINE = NYX > ARMANI\n",
      "medium : ARMANI > MAYBELLINE = NYX > GARNIER = OAP > YSL = CERAVE\n",
      "dark : ARMANI = YSL > OAP > NYX = GARNIER > MAYBELLINE > CERAVE\n",
      "\n",
      "skin tone vs brand country=France\n",
      "brand categories : ['GARNIER', 'KIEHLS', 'LANCOME', 'LRP', 'MAYBELLINE', 'OAP', 'VICHY']\n",
      "removed categories : ['ARMANI', 'BIOTHERM', 'CERAVE', 'KERASTASE', 'LOP', 'NYX', 'PRADA', 'YSL']\n",
      "light : GARNIER = VICHY > LANCOME > LRP > OAP = MAYBELLINE > KIEHLS\n",
      "medium : KIEHLS > MAYBELLINE = OAP > LANCOME = LRP > GARNIER > VICHY\n",
      "dark : KIEHLS = LRP = VICHY = MAYBELLINE = OAP > LANCOME = GARNIER\n",
      "\n",
      "skin tone vs brand country=Germany\n",
      "brand categories : ['ARMANI', 'BIOTHERM', 'CERAVE', 'GARNIER', 'KERASTASE', 'KIEHLS', 'LANCOME', 'LOP', 'LRP', 'MNY', 'NYX', 'VICHY', 'YSL']\n",
      "removed categories : ['PRADA', 'REDKEN']\n",
      "light : CERAVE > KERASTASE > LOP > VICHY > BIOTHERM > GARNIER > LANCOME > MNY > KIEHLS > YSL > ARMANI > NYX > LRP\n",
      "medium : KIEHLS > NYX > LRP > MNY > LANCOME > YSL > GARNIER > VICHY > ARMANI > LOP > CERAVE > BIOTHERM > KERASTASE\n",
      "dark : LRP > ARMANI > NYX > YSL > BIOTHERM > LANCOME > KERASTASE > GARNIER > MNY > KIEHLS > CERAVE > VICHY > LOP\n",
      "\n",
      "skin tone vs brand country=Italy\n",
      "brand categories : ['ARMANI', 'GARNIER', 'KIEHLS', 'LANCOME', 'MAYBELLINE', 'OAP', 'YSL']\n",
      "removed categories : ['BIOTHERM', 'CERAVE', 'KERASTASE', 'LOP', 'LRP', 'NYX', 'PRADA', 'REDKEN']\n",
      "light : GARNIER > OAP = KIEHLS > MAYBELLINE = ARMANI = LANCOME > YSL\n",
      "medium : KIEHLS = YSL > ARMANI = MAYBELLINE = LANCOME > OAP > GARNIER\n",
      "dark : YSL > LANCOME > ARMANI = MAYBELLINE > OAP > GARNIER > KIEHLS\n",
      "\n",
      "skin tone vs brand country=Spain\n",
      "brand categories : ['GARNIER', 'LANCOME', 'OAP']\n",
      "removed categories : ['ARMANI', 'BIOTHERM', 'KERASTASE', 'KIEHLS', 'LOP', 'LRP', 'MAYBELLINE', 'NYX', 'REDKEN', 'VICHY', 'YSL']\n",
      "light : LANCOME = OAP = GARNIER\n",
      "medium : GARNIER = OAP = LANCOME\n",
      "dark : LANCOME = OAP = GARNIER\n",
      "\n",
      "skin tone vs brand country=UK\n",
      "brand categories : ['ARMANI', 'CERAVE', 'GARNIER', 'KERASTASE', 'KIEHLS', 'LANCOME', 'LOP', 'LRP', 'MAYBELLINE', 'NYX', 'OAP', 'PRADA', 'VICHY', 'YSL']\n",
      "removed categories : ['REDKEN']\n",
      "light : LOP > CERAVE > PRADA > LRP > OAP > KERASTASE > GARNIER > LANCOME > YSL > VICHY > ARMANI > MAYBELLINE > KIEHLS > NYX\n",
      "medium : MAYBELLINE > VICHY > KIEHLS > LANCOME > NYX > OAP > GARNIER > ARMANI > KERASTASE > LRP > YSL > CERAVE > PRADA > LOP\n",
      "dark : NYX > ARMANI > YSL > KIEHLS > MAYBELLINE > GARNIER > KERASTASE > VICHY > PRADA > LRP > OAP > LANCOME > CERAVE > LOP\n",
      "\n",
      "skin tone vs country brand=ARMANI\n",
      "country categories : ['USA', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'France', 'Spain']\n",
      "light : Italy > Germany > UK > USA\n",
      "medium : USA > UK > Italy = Germany\n",
      "dark : UK = USA = Germany > Italy\n",
      "\n",
      "skin tone vs country brand=GARNIER\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Mexico', 'Indonesia']\n",
      "light : India > Italy > Spain = France > Germany > UK = USA\n",
      "medium : USA > UK > Germany = Spain > France = Italy > India\n",
      "dark : UK > USA > France > Germany = Italy > Spain > India\n",
      "\n",
      "skin tone vs country brand=LANCOME\n",
      "country categories : ['France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'USA', 'Canada']\n",
      "light : Spain > France = Germany = Italy > UK\n",
      "medium : UK > Germany = France = Italy > Spain\n",
      "dark : Italy > France = Germany = UK = Spain\n",
      "\n",
      "skin tone vs country brand=LRP\n",
      "country categories : ['France', 'Germany', 'UK']\n",
      "removed categories : ['Mexico', 'USA', 'Italy', 'Spain']\n",
      "light : France = UK > Germany\n",
      "medium : Germany = UK = France\n",
      "dark : Germany > France = UK\n",
      "\n",
      "skin tone vs country brand=OAP\n",
      "country categories : ['USA', 'France', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'India']\n",
      "light : Spain > Italy > France = UK > USA\n",
      "medium : USA = UK > France > Italy = Spain\n",
      "dark : USA > France > Italy = UK > Spain\n",
      "\n",
      "skin tone vs country brand=VICHY\n",
      "country categories : ['France', 'Germany', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'USA', 'Spain']\n",
      "light : Germany = France > UK\n",
      "medium : UK > Germany > France\n",
      "dark : UK = France > Germany\n",
      "\n",
      "skin tone vs country brand=YSL\n",
      "country categories : ['USA', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'France', 'Spain']\n",
      "light : Germany > USA = Italy = UK\n",
      "medium : Germany = Italy = UK = USA\n",
      "dark : UK = USA = Italy > Germany\n",
      "\n",
      "skin tone vs country brand=CERAVE\n",
      "country categories : ['USA', 'Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy']\n",
      "light : Germany > UK = USA\n",
      "medium : USA = UK = Germany\n",
      "dark : USA = UK > Germany\n",
      "\n",
      "skin tone vs country brand=KERASTASE\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy', 'Spain']\n",
      "light : Germany > UK\n",
      "medium : UK > Germany\n",
      "dark : UK > Germany\n",
      "\n",
      "skin tone vs country brand=LOP\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'France', 'Italy', 'Spain']\n",
      "light : UK = Germany\n",
      "medium : Germany = UK\n",
      "dark : Germany = UK\n",
      "\n",
      "skin tone vs country brand=KIEHLS\n",
      "country categories : ['France', 'Germany', 'Italy', 'UK']\n",
      "removed categories : ['USA', 'Spain']\n",
      "light : Italy > Germany > France > UK\n",
      "medium : UK > Germany = France > Italy\n",
      "dark : UK > France > Germany > Italy\n",
      "\n",
      "skin tone vs country brand=MAYBELLINE\n",
      "country categories : ['USA', 'France', 'Italy', 'UK']\n",
      "removed categories : ['Spain', 'Indonesia']\n",
      "light : Italy > France > USA = UK\n",
      "medium : UK = USA > France > Italy\n",
      "dark : UK > USA = France = Italy\n",
      "\n",
      "skin tone vs country brand=NYX\n",
      "country categories : ['USA', 'Germany', 'UK']\n",
      "removed categories : ['France', 'Italy', 'Spain']\n",
      "light : Germany = USA = UK\n",
      "medium : USA = UK = Germany\n",
      "dark : UK > USA = Germany\n",
      "\n",
      "gender vs product type country=USA\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "male : skincare > makeup = fragrance > haircare\n",
      "female : haircare > fragrance = makeup > skincare\n",
      "\n",
      "gender vs product type country=France\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "male : skincare > fragrance > haircare = makeup\n",
      "female : makeup = haircare > fragrance > skincare\n",
      "\n",
      "gender vs product type country=Germany\n",
      "product type categories : ['skincare', 'fragrance', 'makeup', 'haircare']\n",
      "removed categories : []\n",
      "male : fragrance > makeup = skincare > haircare\n",
      "female : haircare > skincare = makeup > fragrance\n",
      "\n",
      "gender vs product type country=Italy\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "male : fragrance > makeup > haircare = skincare\n",
      "female : skincare = haircare > makeup > fragrance\n",
      "\n",
      "gender vs product type country=Spain\n",
      "product type categories : ['fragrance', 'skincare', 'haircare', 'makeup']\n",
      "removed categories : []\n",
      "male : fragrance > makeup = skincare = haircare\n",
      "female : haircare = skincare = makeup > fragrance\n",
      "\n",
      "gender vs product type country=UK\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "male : fragrance > skincare > makeup > haircare\n",
      "female : haircare > makeup > skincare > fragrance\n",
      "\n",
      "gender vs country product type=fragrance\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil']\n",
      "male : Italy > UK > Spain > Germany > France = USA\n",
      "female : USA = France > Germany > Spain > UK > Italy\n",
      "\n",
      "gender vs country product type=haircare\n",
      "country categories : ['Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Mexico', 'Indonesia']\n",
      "male : India > Germany > France > Brazil = UK > USA = Italy > Spain\n",
      "female : Spain > Italy = USA > UK = Brazil > France > Germany > India\n",
      "\n",
      "gender vs country product type=makeup\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Indonesia']\n",
      "male : Germany > USA > UK > France > Italy > Spain\n",
      "female : Spain > Italy > France > UK > USA > Germany\n",
      "\n",
      "gender vs country product type=skincare\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Canada', 'India', 'Indonesia']\n",
      "male : UK > France > USA > Germany > Spain = Italy\n",
      "female : Italy = Spain > Germany > USA > France > UK\n",
      "\n",
      "age vs product type country=USA\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "<15y : makeup = skincare = fragrance > haircare\n",
      "15y-25y : fragrance = makeup > haircare > skincare\n",
      "25y-35y : skincare = haircare > makeup = fragrance\n",
      "35y-45y : skincare > haircare = makeup = fragrance\n",
      "45-75y : fragrance = haircare = skincare = makeup\n",
      "\n",
      "age vs product type country=France\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "<15y : makeup = haircare > skincare > fragrance\n",
      "15y-25y : skincare > makeup > haircare > fragrance\n",
      "25y-35y : fragrance > haircare > makeup > skincare\n",
      "35y-45y : haircare = fragrance > skincare = makeup\n",
      "45-75y : skincare = makeup > haircare > fragrance\n",
      "\n",
      "age vs product type country=Germany\n",
      "product type categories : ['skincare', 'fragrance', 'makeup', 'haircare']\n",
      "removed categories : []\n",
      "<15y : haircare = makeup > skincare > fragrance\n",
      "15y-25y : makeup = haircare > skincare > fragrance\n",
      "25y-35y : fragrance > skincare > haircare > makeup\n",
      "35y-45y : fragrance = makeup = skincare > haircare\n",
      "45-75y : makeup = skincare = fragrance > haircare\n",
      "\n",
      "age vs product type country=Italy\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "<15y : haircare = makeup > fragrance = skincare\n",
      "15y-25y : makeup > haircare > skincare = fragrance\n",
      "25y-35y : fragrance > skincare > haircare > makeup\n",
      "35y-45y : skincare > haircare = fragrance > makeup\n",
      "45-75y : skincare > fragrance = makeup = haircare\n",
      "\n",
      "age vs product type country=Spain\n",
      "product type categories : ['fragrance', 'skincare', 'haircare', 'makeup']\n",
      "removed categories : []\n",
      "<15y : haircare > makeup = skincare > fragrance\n",
      "15y-25y : makeup > haircare = skincare > fragrance\n",
      "25y-35y : fragrance > skincare = haircare > makeup\n",
      "35y-45y : fragrance = skincare > haircare = makeup\n",
      "45-75y : skincare = makeup = haircare = fragrance\n",
      "\n",
      "age vs product type country=UK\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "<15y : skincare > makeup > haircare > fragrance\n",
      "15y-25y : makeup > haircare > skincare > fragrance\n",
      "25y-35y : fragrance > skincare > haircare > makeup\n",
      "35y-45y : skincare > fragrance > makeup > haircare\n",
      "45-75y : skincare > makeup > haircare = fragrance\n",
      "\n",
      "age vs country product type=fragrance\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil']\n",
      "<15y : USA > UK = Spain > Germany > Italy > France\n",
      "15y-25y : USA > UK = Germany = France = Italy > Spain\n",
      "25y-35y : Spain > Italy = France > Germany = UK > USA\n",
      "35y-45y : Spain = UK = France = Germany > Italy > USA\n",
      "45-75y : USA = Germany = Italy > Spain > UK = France\n",
      "\n",
      "age vs country product type=haircare\n",
      "country categories : ['Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Mexico', 'Indonesia']\n",
      "<15y : Germany > Spain = Italy > France = UK > Brazil > India > USA\n",
      "15y-25y : Brazil > Germany > UK > USA > Italy > France = Spain > India\n",
      "25y-35y : India > Spain = France = USA > Italy > UK > Germany > Brazil\n",
      "35y-45y : India > France > Italy = Spain = USA = UK = Germany > Brazil\n",
      "45-75y : USA = France = Spain > Germany = Italy > UK > India > Brazil\n",
      "\n",
      "age vs country product type=makeup\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Indonesia']\n",
      "<15y : Germany > Italy = USA = France = UK > Spain\n",
      "15y-25y : USA > UK > Germany > Italy = France = Spain\n",
      "25y-35y : Spain = Italy = France > UK > Germany > USA\n",
      "35y-45y : Germany > France = UK = Spain = USA > Italy\n",
      "45-75y : Germany = Spain = France = UK > Italy > USA\n",
      "\n",
      "age vs country product type=skincare\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Canada', 'India', 'Indonesia']\n",
      "<15y : UK > USA = Germany > Spain = France > Italy\n",
      "15y-25y : France > Germany > USA = Spain = UK > Italy\n",
      "25y-35y : Italy = Spain = USA > UK > Germany > France\n",
      "35y-45y : UK > Italy = USA = Spain > Germany > France\n",
      "45-75y : Italy > UK = Germany = France = Spain > USA\n",
      "\n",
      "skin tone vs product type country=USA\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "light : skincare > makeup > haircare = fragrance\n",
      "medium : haircare > fragrance > skincare > makeup\n",
      "dark : makeup = fragrance > haircare = skincare\n",
      "\n",
      "skin tone vs product type country=France\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "light : fragrance > skincare = makeup = haircare\n",
      "medium : haircare > makeup > skincare > fragrance\n",
      "dark : skincare > makeup = fragrance > haircare\n",
      "\n",
      "skin tone vs product type country=Germany\n",
      "product type categories : ['skincare', 'fragrance', 'makeup', 'haircare']\n",
      "removed categories : []\n",
      "light : haircare > makeup > skincare = fragrance\n",
      "medium : skincare = makeup > haircare > fragrance\n",
      "dark : fragrance > skincare > makeup > haircare\n",
      "\n",
      "skin tone vs product type country=Italy\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "light : skincare = haircare > fragrance > makeup\n",
      "medium : makeup > haircare > fragrance = skincare\n",
      "dark : fragrance > makeup > skincare > haircare\n",
      "\n",
      "skin tone vs product type country=Spain\n",
      "product type categories : ['fragrance', 'skincare', 'haircare', 'makeup']\n",
      "removed categories : []\n",
      "light : haircare > fragrance = skincare = makeup\n",
      "medium : makeup = skincare > haircare = fragrance\n",
      "dark : fragrance > makeup = skincare > haircare\n",
      "\n",
      "skin tone vs product type country=UK\n",
      "product type categories : ['fragrance', 'makeup', 'skincare', 'haircare']\n",
      "removed categories : []\n",
      "light : fragrance > haircare > skincare > makeup\n",
      "medium : makeup > haircare > skincare > fragrance\n",
      "dark : makeup > skincare = fragrance > haircare\n",
      "\n",
      "skin tone vs country product type=fragrance\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil']\n",
      "light : France > Spain > Italy = UK > Germany > USA\n",
      "medium : USA > Germany = UK = Italy > Spain = France\n",
      "dark : USA = Germany > UK = Italy > Spain = France\n",
      "\n",
      "skin tone vs country product type=haircare\n",
      "country categories : ['Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Mexico', 'Indonesia']\n",
      "light : India > Spain > Italy > Germany > UK = France > Brazil > USA\n",
      "medium : USA > France = Brazil = UK > Germany > Italy > Spain > India\n",
      "dark : Brazil > UK > USA = France > Italy > Germany > Spain > India\n",
      "\n",
      "skin tone vs country product type=makeup\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Indonesia']\n",
      "light : Spain = Germany > Italy = France > USA > UK\n",
      "medium : UK > USA > France = Germany = Spain = Italy\n",
      "dark : USA > UK > Italy = France > Spain = Germany\n",
      "\n",
      "skin tone vs country product type=skincare\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Canada', 'India', 'Indonesia']\n",
      "light : Italy > Spain > France > Germany = USA > UK\n",
      "medium : USA > UK > Germany > Spain = France > Italy\n",
      "dark : UK > France > Germany > Italy = Spain = USA\n",
      "\n",
      "gender vs product target gender country=USA\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['unisex', 'male']\n",
      "male : female = unspecified\n",
      "female : unspecified = female\n",
      "\n",
      "gender vs product target gender country=France\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['male', 'unisex']\n",
      "male : female > unspecified\n",
      "female : unspecified > female\n",
      "\n",
      "gender vs product target gender country=Germany\n",
      "product target gender categories : ['female', 'male', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "male : male > unisex > unspecified > female\n",
      "female : female > unspecified > unisex > male\n",
      "\n",
      "gender vs product target gender country=Italy\n",
      "product target gender categories : ['male', 'unspecified', 'female']\n",
      "removed categories : ['unisex']\n",
      "male : male > female = unspecified\n",
      "female : unspecified = female > male\n",
      "\n",
      "gender vs product target gender country=Spain\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['male']\n",
      "male : unspecified = female\n",
      "female : female = unspecified\n",
      "\n",
      "gender vs product target gender country=UK\n",
      "product target gender categories : ['female', 'unspecified', 'male', 'unisex']\n",
      "removed categories : []\n",
      "male : male > unisex = female > unspecified\n",
      "female : unspecified > female = unisex > male\n",
      "\n",
      "gender vs country product target gender=female\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Canada', 'Indonesia', 'India']\n",
      "male : France > USA = UK > Germany > Italy > Spain\n",
      "female : Spain > Italy > Germany > UK = USA > France\n",
      "\n",
      "gender vs country product target gender=male\n",
      "country categories : ['Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'USA', 'France', 'Spain', 'India', 'Indonesia']\n",
      "male : UK = Italy > Germany\n",
      "female : Germany > Italy = UK\n",
      "\n",
      "gender vs country product target gender=unspecified\n",
      "country categories : ['Mexico', 'Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Indonesia']\n",
      "male : Germany > USA > India = France > Brazil > UK > Italy > Spain > Mexico\n",
      "female : Mexico > Spain > Italy > UK > Brazil > France = India > USA > Germany\n",
      "\n",
      "gender vs country product target gender=unisex\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'USA', 'France', 'Italy']\n",
      "male : Germany = UK\n",
      "female : UK = Germany\n",
      "\n",
      "age vs product target gender country=USA\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['unisex', 'male']\n",
      "<15y : unspecified = female\n",
      "15y-25y : unspecified > female\n",
      "25y-35y : female > unspecified\n",
      "35y-45y : female > unspecified\n",
      "45-75y : unspecified = female\n",
      "\n",
      "age vs product target gender country=France\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['male', 'unisex']\n",
      "<15y : unspecified > female\n",
      "15y-25y : female > unspecified\n",
      "25y-35y : unspecified > female\n",
      "35y-45y : female = unspecified\n",
      "45-75y : female = unspecified\n",
      "\n",
      "age vs product target gender country=Germany\n",
      "product target gender categories : ['female', 'male', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "<15y : unspecified > female > unisex > male\n",
      "15y-25y : unspecified > unisex > female > male\n",
      "25y-35y : male > unisex = female > unspecified\n",
      "35y-45y : female = unisex > unspecified = male\n",
      "45-75y : female > unspecified > unisex = male\n",
      "\n",
      "age vs product target gender country=Italy\n",
      "product target gender categories : ['male', 'unspecified', 'female']\n",
      "removed categories : ['unisex']\n",
      "<15y : unspecified > female > male\n",
      "15y-25y : unspecified > female > male\n",
      "25y-35y : male > female > unspecified\n",
      "35y-45y : female > unspecified > male\n",
      "45-75y : female > male = unspecified\n",
      "\n",
      "age vs product target gender country=Spain\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['male']\n",
      "<15y : unspecified > female\n",
      "15y-25y : unspecified > female\n",
      "25y-35y : female > unspecified\n",
      "35y-45y : female > unspecified\n",
      "45-75y : female = unspecified\n",
      "\n",
      "age vs product target gender country=UK\n",
      "product target gender categories : ['female', 'unspecified', 'male', 'unisex']\n",
      "removed categories : []\n",
      "<15y : unisex > unspecified > female > male\n",
      "15y-25y : unspecified > female > unisex > male\n",
      "25y-35y : male > female > unspecified > unisex\n",
      "35y-45y : male > female > unspecified > unisex\n",
      "45-75y : female > unspecified > male > unisex\n",
      "\n",
      "age vs country product target gender=female\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Canada', 'Indonesia', 'India']\n",
      "<15y : Germany = USA > UK > France > Spain = Italy\n",
      "15y-25y : France > USA = Germany > UK > Italy > Spain\n",
      "25y-35y : Spain > Italy > UK = USA > Germany = France\n",
      "35y-45y : Spain = Italy > USA = Germany > France = UK\n",
      "45-75y : UK > Germany = Italy > France = Spain > USA\n",
      "\n",
      "age vs country product target gender=male\n",
      "country categories : ['Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'USA', 'France', 'Spain', 'India', 'Indonesia']\n",
      "<15y : UK > Italy = Germany\n",
      "15y-25y : UK > Italy = Germany\n",
      "25y-35y : Germany = Italy > UK\n",
      "35y-45y : UK > Germany = Italy\n",
      "45-75y : Italy = Germany = UK\n",
      "\n",
      "age vs country product target gender=unspecified\n",
      "country categories : ['Mexico', 'Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Indonesia']\n",
      "<15y : Germany > Italy > Spain > USA > France > UK > Brazil > Mexico > India\n",
      "15y-25y : Brazil = USA > UK > Germany > Italy > France > Spain > Mexico > India\n",
      "25y-35y : India > Mexico > Spain > France > Italy > UK > Germany > Brazil > USA\n",
      "35y-45y : Mexico > India > France > Germany > Spain > Italy = UK = USA > Brazil\n",
      "45-75y : Germany > France = Spain = UK > Mexico = Italy > USA > India > Brazil\n",
      "\n",
      "age vs country product target gender=unisex\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'USA', 'France', 'Italy']\n",
      "<15y : UK > Germany\n",
      "15y-25y : Germany > UK\n",
      "25y-35y : Germany > UK\n",
      "35y-45y : Germany > UK\n",
      "45-75y : Germany > UK\n",
      "\n",
      "skin tone vs product target gender country=USA\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['unisex', 'male']\n",
      "light : female > unspecified\n",
      "medium : female = unspecified\n",
      "dark : unspecified > female\n",
      "\n",
      "skin tone vs product target gender country=France\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['male', 'unisex']\n",
      "light : female > unspecified\n",
      "medium : unspecified > female\n",
      "dark : female > unspecified\n",
      "\n",
      "skin tone vs product target gender country=Germany\n",
      "product target gender categories : ['female', 'male', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "light : unisex = unspecified > female > male\n",
      "medium : female > unisex = unspecified = male\n",
      "dark : male > female > unspecified > unisex\n",
      "\n",
      "skin tone vs product target gender country=Italy\n",
      "product target gender categories : ['male', 'unspecified', 'female']\n",
      "removed categories : ['unisex']\n",
      "light : female > unspecified = male\n",
      "medium : unspecified = male > female\n",
      "dark : male > female = unspecified\n",
      "\n",
      "skin tone vs product target gender country=Spain\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['male']\n",
      "light : female = unspecified\n",
      "medium : unspecified = female\n",
      "dark : unspecified = female\n",
      "\n",
      "skin tone vs product target gender country=UK\n",
      "product target gender categories : ['female', 'unspecified', 'male', 'unisex']\n",
      "removed categories : []\n",
      "light : unisex > male > unspecified = female\n",
      "medium : unspecified > male = female > unisex\n",
      "dark : female > unspecified > male > unisex\n",
      "\n",
      "skin tone vs country product target gender=female\n",
      "country categories : ['USA', 'France', 'Germany', 'Italy', 'Spain', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'Canada', 'Indonesia', 'India']\n",
      "light : Spain = Italy > France > Germany > USA > UK\n",
      "medium : USA > UK = Germany > Spain = France > Italy\n",
      "dark : UK > France = USA = Germany = Italy > Spain\n",
      "\n",
      "skin tone vs country product target gender=male\n",
      "country categories : ['Germany', 'Italy', 'UK']\n",
      "removed categories : ['Mexico', 'Brazil', 'USA', 'France', 'Spain', 'India', 'Indonesia']\n",
      "light : Italy = UK > Germany\n",
      "medium : UK > Germany = Italy\n",
      "dark : Germany > Italy > UK\n",
      "\n",
      "skin tone vs country product target gender=unspecified\n",
      "country categories : ['Mexico', 'Brazil', 'USA', 'France', 'Germany', 'Italy', 'Spain', 'UK', 'India']\n",
      "removed categories : ['Indonesia']\n",
      "light : India > Mexico > Spain > Germany > Italy > France > Brazil > UK > USA\n",
      "medium : UK > Brazil = USA > France > Germany > Italy > Spain > Mexico > India\n",
      "dark : USA > UK > Brazil > France = Italy > Germany > Spain > Mexico > India\n",
      "\n",
      "skin tone vs country product target gender=unisex\n",
      "country categories : ['Germany', 'UK']\n",
      "removed categories : ['Brazil', 'USA', 'France', 'Italy']\n",
      "light : UK = Germany\n",
      "medium : Germany = UK\n",
      "dark : Germany = UK\n",
      "\n",
      "gender vs product type brand=ARMANI\n",
      "product type categories : ['fragrance', 'makeup']\n",
      "removed categories : ['skincare']\n",
      "male : fragrance > makeup\n",
      "female : makeup > fragrance\n",
      "\n",
      "gender vs product type brand=GARNIER\n",
      "product type categories : ['haircare', 'makeup', 'skincare']\n",
      "removed categories : ['fragrance']\n",
      "male : skincare > makeup = haircare\n",
      "female : haircare = makeup > skincare\n",
      "\n",
      "gender vs product type brand=LANCOME\n",
      "product type categories : ['fragrance', 'skincare', 'makeup']\n",
      "removed categories : []\n",
      "male : fragrance > skincare > makeup\n",
      "female : makeup > skincare > fragrance\n",
      "\n",
      "gender vs product type brand=LRP\n",
      "product type categories : ['skincare', 'makeup']\n",
      "removed categories : []\n",
      "male : makeup = skincare\n",
      "female : skincare = makeup\n",
      "\n",
      "gender vs product type brand=MNY\n",
      "product type categories : ['makeup', 'skincare']\n",
      "removed categories : []\n",
      "male : makeup > skincare\n",
      "female : skincare > makeup\n",
      "\n",
      "gender vs product type brand=OAP\n",
      "product type categories : ['skincare', 'haircare', 'makeup']\n",
      "removed categories : ['fragrance']\n",
      "male : skincare > makeup > haircare\n",
      "female : haircare > makeup > skincare\n",
      "\n",
      "gender vs product type brand=VICHY\n",
      "product type categories : ['skincare', 'haircare', 'makeup']\n",
      "removed categories : []\n",
      "male : makeup = haircare > skincare\n",
      "female : skincare > haircare = makeup\n",
      "\n",
      "gender vs product type brand=YSL\n",
      "product type categories : ['fragrance', 'makeup']\n",
      "removed categories : ['skincare']\n",
      "male : fragrance = makeup\n",
      "female : makeup = fragrance\n",
      "\n",
      "gender vs product type brand=KIEHLS\n",
      "product type categories : ['skincare', 'makeup']\n",
      "removed categories : []\n",
      "male : skincare > makeup\n",
      "female : makeup > skincare\n",
      "\n",
      "gender vs brand product type=fragrance\n",
      "brand categories : ['ARMANI', 'LANCOME', 'YSL', 'PRADA']\n",
      "removed categories : ['GARNIER', 'OAP']\n",
      "male : PRADA > ARMANI > YSL > LANCOME\n",
      "female : LANCOME > YSL > ARMANI > PRADA\n",
      "\n",
      "gender vs brand product type=haircare\n",
      "brand categories : ['GARNIER', 'OAP', 'VICHY', 'KERASTASE', 'LOP', 'REDKEN']\n",
      "removed categories : []\n",
      "male : VICHY > KERASTASE > GARNIER > LOP > OAP = REDKEN\n",
      "female : REDKEN = OAP > LOP > GARNIER > KERASTASE > VICHY\n",
      "\n",
      "gender vs brand product type=makeup\n",
      "brand categories : ['GARNIER', 'MNY', 'OAP', 'MAYBELLINE', 'NYX', 'YSL', 'ARMANI', 'BIOTHERM', 'KIEHLS', 'LANCOME', 'LRP', 'VICHY']\n",
      "removed categories : ['KERASTASE', 'LOP', 'CERAVE']\n",
      "male : VICHY > LRP > YSL > NYX > OAP > BIOTHERM > GARNIER > KIEHLS > ARMANI > MNY > MAYBELLINE > LANCOME\n",
      "female : LANCOME > MAYBELLINE > MNY > ARMANI > KIEHLS > GARNIER > BIOTHERM > OAP > NYX > YSL > LRP > VICHY\n",
      "\n",
      "gender vs brand product type=skincare\n",
      "brand categories : ['GARNIER', 'LRP', 'OAP', 'VICHY', 'CERAVE', 'KIEHLS', 'LANCOME', 'MNY']\n",
      "removed categories : ['YSL', 'BIOTHERM', 'MAYBELLINE', 'ARMANI']\n",
      "male : OAP > LRP > KIEHLS > CERAVE = VICHY > GARNIER > LANCOME > MNY\n",
      "female : MNY > LANCOME > GARNIER > VICHY = CERAVE > KIEHLS > LRP > OAP\n",
      "\n",
      "age vs product type brand=ARMANI\n",
      "product type categories : ['fragrance', 'makeup']\n",
      "removed categories : ['skincare']\n",
      "<15y : fragrance = makeup\n",
      "15y-25y : makeup > fragrance\n",
      "25y-35y : fragrance > makeup\n",
      "35y-45y : fragrance > makeup\n",
      "45-75y : fragrance = makeup\n",
      "\n",
      "age vs product type brand=GARNIER\n",
      "product type categories : ['haircare', 'makeup', 'skincare']\n",
      "removed categories : ['fragrance']\n",
      "<15y : makeup > haircare > skincare\n",
      "15y-25y : skincare > makeup > haircare\n",
      "25y-35y : haircare = skincare > makeup\n",
      "35y-45y : haircare > skincare = makeup\n",
      "45-75y : skincare > makeup = haircare\n",
      "\n",
      "age vs product type brand=LANCOME\n",
      "product type categories : ['fragrance', 'skincare', 'makeup']\n",
      "removed categories : []\n",
      "<15y : makeup > skincare = fragrance\n",
      "15y-25y : makeup > skincare = fragrance\n",
      "25y-35y : fragrance = skincare > makeup\n",
      "35y-45y : fragrance > skincare > makeup\n",
      "45-75y : fragrance > skincare = makeup\n",
      "\n",
      "age vs product type brand=LRP\n",
      "product type categories : ['skincare', 'makeup']\n",
      "removed categories : []\n",
      "<15y : skincare = makeup\n",
      "15y-25y : skincare > makeup\n",
      "25y-35y : makeup > skincare\n",
      "35y-45y : makeup = skincare\n",
      "45-75y : skincare > makeup\n",
      "\n",
      "age vs product type brand=MNY\n",
      "product type categories : ['makeup', 'skincare']\n",
      "removed categories : []\n",
      "<15y : makeup > skincare\n",
      "15y-25y : makeup > skincare\n",
      "25y-35y : skincare > makeup\n",
      "35y-45y : makeup > skincare\n",
      "45-75y : makeup > skincare\n",
      "\n",
      "age vs product type brand=OAP\n",
      "product type categories : ['skincare', 'haircare', 'makeup']\n",
      "removed categories : ['fragrance']\n",
      "<15y : makeup = skincare = haircare\n",
      "15y-25y : makeup = haircare > skincare\n",
      "25y-35y : skincare > haircare > makeup\n",
      "35y-45y : skincare > makeup > haircare\n",
      "45-75y : makeup > skincare > haircare\n",
      "\n",
      "age vs product type brand=VICHY\n",
      "product type categories : ['skincare', 'haircare', 'makeup']\n",
      "removed categories : []\n",
      "<15y : skincare > makeup > haircare\n",
      "15y-25y : skincare > makeup > haircare\n",
      "25y-35y : haircare > makeup > skincare\n",
      "35y-45y : skincare > haircare = makeup\n",
      "45-75y : skincare > makeup = haircare\n",
      "\n",
      "age vs product type brand=YSL\n",
      "product type categories : ['fragrance', 'makeup']\n",
      "removed categories : ['skincare']\n",
      "<15y : makeup > fragrance\n",
      "15y-25y : makeup > fragrance\n",
      "25y-35y : fragrance > makeup\n",
      "35y-45y : makeup = fragrance\n",
      "45-75y : makeup > fragrance\n",
      "\n",
      "age vs product type brand=KIEHLS\n",
      "product type categories : ['skincare', 'makeup']\n",
      "removed categories : []\n",
      "<15y : skincare = makeup\n",
      "15y-25y : skincare > makeup\n",
      "25y-35y : skincare > makeup\n",
      "35y-45y : makeup > skincare\n",
      "45-75y : makeup > skincare\n",
      "\n",
      "age vs brand product type=fragrance\n",
      "brand categories : ['ARMANI', 'LANCOME', 'YSL', 'PRADA']\n",
      "removed categories : ['GARNIER', 'OAP']\n",
      "<15y : PRADA > ARMANI > YSL > LANCOME\n",
      "15y-25y : YSL > ARMANI > PRADA = LANCOME\n",
      "25y-35y : PRADA = LANCOME > ARMANI > YSL\n",
      "35y-45y : LANCOME > ARMANI > PRADA = YSL\n",
      "45-75y : ARMANI = LANCOME > YSL > PRADA\n",
      "\n",
      "age vs brand product type=haircare\n",
      "brand categories : ['GARNIER', 'OAP', 'VICHY', 'KERASTASE', 'LOP', 'REDKEN']\n",
      "removed categories : []\n",
      "<15y : GARNIER > LOP > KERASTASE > REDKEN = OAP > VICHY\n",
      "15y-25y : LOP = REDKEN > KERASTASE > GARNIER > OAP > VICHY\n",
      "25y-35y : VICHY > OAP > GARNIER > KERASTASE > LOP > REDKEN\n",
      "35y-45y : REDKEN > KERASTASE = OAP > VICHY = GARNIER > LOP\n",
      "45-75y : KERASTASE > OAP = VICHY = GARNIER > LOP > REDKEN\n",
      "\n",
      "age vs brand product type=makeup\n",
      "brand categories : ['GARNIER', 'MNY', 'OAP', 'MAYBELLINE', 'NYX', 'YSL', 'ARMANI', 'BIOTHERM', 'KIEHLS', 'LANCOME', 'LRP', 'VICHY']\n",
      "removed categories : ['KERASTASE', 'LOP', 'CERAVE']\n",
      "<15y : GARNIER > NYX > MNY > MAYBELLINE > YSL > LRP > KIEHLS > OAP > LANCOME > ARMANI > VICHY > BIOTHERM\n",
      "15y-25y : MNY > YSL > LANCOME > NYX > MAYBELLINE > ARMANI > GARNIER > BIOTHERM > LRP > OAP > VICHY > KIEHLS\n",
      "25y-35y : VICHY > BIOTHERM > OAP > LRP > ARMANI > KIEHLS > LANCOME > GARNIER > MAYBELLINE > NYX > YSL > MNY\n",
      "35y-45y : KIEHLS > OAP > BIOTHERM > LRP > MNY > YSL > NYX > VICHY > MAYBELLINE > GARNIER > LANCOME > ARMANI\n",
      "45-75y : KIEHLS > OAP > YSL > ARMANI > BIOTHERM > MNY > VICHY > LRP > NYX > LANCOME > GARNIER > MAYBELLINE\n",
      "\n",
      "age vs brand product type=skincare\n",
      "brand categories : ['GARNIER', 'LRP', 'OAP', 'VICHY', 'CERAVE', 'KIEHLS', 'LANCOME', 'MNY']\n",
      "removed categories : ['YSL', 'BIOTHERM', 'MAYBELLINE', 'ARMANI']\n",
      "<15y : CERAVE > LRP > GARNIER > KIEHLS > VICHY > OAP > MNY > LANCOME\n",
      "15y-25y : LRP = MNY = GARNIER > KIEHLS > VICHY > CERAVE > LANCOME > OAP\n",
      "25y-35y : OAP > LANCOME > CERAVE > KIEHLS > MNY > GARNIER > VICHY > LRP\n",
      "35y-45y : OAP > VICHY > KIEHLS > LANCOME > CERAVE = LRP > GARNIER > MNY\n",
      "45-75y : VICHY > KIEHLS > OAP > LRP > GARNIER > LANCOME > CERAVE > MNY\n",
      "\n",
      "skin tone vs product type brand=ARMANI\n",
      "product type categories : ['fragrance', 'makeup']\n",
      "removed categories : ['skincare']\n",
      "light : fragrance > makeup\n",
      "medium : makeup > fragrance\n",
      "dark : makeup > fragrance\n",
      "\n",
      "skin tone vs product type brand=GARNIER\n",
      "product type categories : ['haircare', 'makeup', 'skincare']\n",
      "removed categories : ['fragrance']\n",
      "light : makeup > haircare > skincare\n",
      "medium : haircare > skincare > makeup\n",
      "dark : skincare > makeup > haircare\n",
      "\n",
      "skin tone vs product type brand=LANCOME\n",
      "product type categories : ['fragrance', 'skincare', 'makeup']\n",
      "removed categories : []\n",
      "light : fragrance > skincare > makeup\n",
      "medium : makeup > skincare > fragrance\n",
      "dark : makeup > skincare = fragrance\n",
      "\n",
      "skin tone vs product type brand=LRP\n",
      "product type categories : ['skincare', 'makeup']\n",
      "removed categories : []\n",
      "light : makeup > skincare\n",
      "medium : skincare > makeup\n",
      "dark : skincare > makeup\n",
      "\n",
      "skin tone vs product type brand=MNY\n",
      "product type categories : ['makeup', 'skincare']\n",
      "removed categories : []\n",
      "light : skincare = makeup\n",
      "medium : makeup = skincare\n",
      "dark : makeup > skincare\n",
      "\n",
      "skin tone vs product type brand=OAP\n",
      "product type categories : ['skincare', 'haircare', 'makeup']\n",
      "removed categories : ['fragrance']\n",
      "light : skincare > haircare > makeup\n",
      "medium : haircare > skincare = makeup\n",
      "dark : makeup > skincare = haircare\n",
      "\n",
      "skin tone vs product type brand=VICHY\n",
      "product type categories : ['skincare', 'haircare', 'makeup']\n",
      "removed categories : []\n",
      "light : makeup = haircare > skincare\n",
      "medium : skincare > haircare = makeup\n",
      "dark : skincare > makeup = haircare\n",
      "\n",
      "skin tone vs product type brand=YSL\n",
      "product type categories : ['fragrance', 'makeup']\n",
      "removed categories : ['skincare']\n",
      "light : fragrance > makeup\n",
      "medium : makeup > fragrance\n",
      "dark : makeup = fragrance\n",
      "\n",
      "skin tone vs product type brand=KIEHLS\n",
      "product type categories : ['skincare', 'makeup']\n",
      "removed categories : []\n",
      "light : makeup > skincare\n",
      "medium : skincare > makeup\n",
      "dark : skincare > makeup\n",
      "\n",
      "skin tone vs brand product type=fragrance\n",
      "brand categories : ['ARMANI', 'LANCOME', 'YSL', 'PRADA']\n",
      "removed categories : ['GARNIER', 'OAP']\n",
      "light : LANCOME > PRADA > ARMANI = YSL\n",
      "medium : ARMANI > YSL = PRADA > LANCOME\n",
      "dark : YSL > ARMANI > PRADA > LANCOME\n",
      "\n",
      "skin tone vs brand product type=haircare\n",
      "brand categories : ['GARNIER', 'OAP', 'VICHY', 'KERASTASE', 'LOP', 'REDKEN']\n",
      "removed categories : []\n",
      "light : VICHY > LOP > KERASTASE > REDKEN = GARNIER > OAP\n",
      "medium : OAP = REDKEN = GARNIER > LOP > KERASTASE > VICHY\n",
      "dark : KERASTASE > OAP > GARNIER > LOP > REDKEN > VICHY\n",
      "\n",
      "skin tone vs brand product type=makeup\n",
      "brand categories : ['GARNIER', 'MNY', 'OAP', 'MAYBELLINE', 'NYX', 'YSL', 'ARMANI', 'BIOTHERM', 'KIEHLS', 'LANCOME', 'LRP', 'VICHY']\n",
      "removed categories : ['KERASTASE', 'LOP', 'CERAVE']\n",
      "light : VICHY > BIOTHERM > LRP > GARNIER > MNY > KIEHLS > OAP > MAYBELLINE > YSL > NYX > LANCOME > ARMANI\n",
      "medium : LANCOME > ARMANI > MAYBELLINE > NYX > KIEHLS > MNY > OAP > YSL > GARNIER > LRP > BIOTHERM > VICHY\n",
      "dark : ARMANI > YSL > NYX > OAP > MAYBELLINE > LANCOME > LRP > BIOTHERM > GARNIER > MNY > KIEHLS > VICHY\n",
      "\n",
      "skin tone vs brand product type=skincare\n",
      "brand categories : ['GARNIER', 'LRP', 'OAP', 'VICHY', 'CERAVE', 'KIEHLS', 'LANCOME', 'MNY']\n",
      "removed categories : ['YSL', 'BIOTHERM', 'MAYBELLINE', 'ARMANI']\n",
      "light : CERAVE > MNY = LANCOME > VICHY > OAP > GARNIER > LRP > KIEHLS\n",
      "medium : KIEHLS > LRP > OAP > GARNIER = VICHY = MNY > LANCOME > CERAVE\n",
      "dark : LRP = GARNIER > KIEHLS > LANCOME = VICHY > OAP > CERAVE > MNY\n",
      "\n",
      "gender vs product target gender brand=ARMANI\n",
      "product target gender categories : ['female', 'male', 'unspecified']\n",
      "removed categories : []\n",
      "male : male > unspecified > female\n",
      "female : female > unspecified > male\n",
      "\n",
      "gender vs product target gender brand=GARNIER\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['male', 'unisex']\n",
      "male : female = unspecified\n",
      "female : unspecified = female\n",
      "\n",
      "gender vs product target gender brand=LANCOME\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : []\n",
      "male : female > unspecified\n",
      "female : unspecified > female\n",
      "\n",
      "gender vs product target gender brand=LRP\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['unisex']\n",
      "male : unspecified > female\n",
      "female : female > unspecified\n",
      "\n",
      "gender vs product target gender brand=OAP\n",
      "product target gender categories : ['female', 'unspecified', 'male']\n",
      "removed categories : []\n",
      "male : male > unspecified = female\n",
      "female : female = unspecified > male\n",
      "\n",
      "gender vs product target gender brand=VICHY\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['unisex']\n",
      "male : unspecified > female\n",
      "female : female > unspecified\n",
      "\n",
      "gender vs product target gender brand=YSL\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['male']\n",
      "male : unspecified > female\n",
      "female : female > unspecified\n",
      "\n",
      "gender vs product target gender brand=CERAVE\n",
      "product target gender categories : ['unisex', 'female']\n",
      "removed categories : ['unspecified']\n",
      "male : unisex > female\n",
      "female : female > unisex\n",
      "\n",
      "gender vs product target gender brand=KIEHLS\n",
      "product target gender categories : ['female', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "male : female = unisex = unspecified\n",
      "female : unspecified = unisex = female\n",
      "\n",
      "gender vs brand product target gender=female\n",
      "brand categories : ['ARMANI', 'GARNIER', 'LANCOME', 'OAP', 'VICHY', 'YSL', 'CERAVE', 'KIEHLS', 'LRP']\n",
      "removed categories : ['PRADA', 'BIOTHERM']\n",
      "male : LRP > KIEHLS > VICHY > GARNIER > YSL = LANCOME > CERAVE > ARMANI > OAP\n",
      "female : OAP > ARMANI > CERAVE > LANCOME = YSL > GARNIER > VICHY > KIEHLS > LRP\n",
      "\n",
      "gender vs brand product target gender=male\n",
      "brand categories : ['ARMANI', 'OAP', 'PRADA']\n",
      "removed categories : ['GARNIER', 'YSL', 'BIOTHERM']\n",
      "male : PRADA = OAP > ARMANI\n",
      "female : ARMANI > OAP = PRADA\n",
      "\n",
      "gender vs brand product target gender=unspecified\n",
      "brand categories : ['GARNIER', 'LRP', 'MNY', 'OAP', 'VICHY', 'KERASTASE', 'LOP', 'ARMANI', 'MAYBELLINE', 'NYX', 'REDKEN', 'YSL', 'BIOTHERM', 'KIEHLS', 'LANCOME']\n",
      "removed categories : ['CERAVE', 'PRADA']\n",
      "male : VICHY > LRP > YSL > NYX > KERASTASE > ARMANI > BIOTHERM > KIEHLS > GARNIER > LOP > REDKEN > OAP > MAYBELLINE > MNY > LANCOME\n",
      "female : LANCOME > MNY > MAYBELLINE > OAP > REDKEN > LOP > GARNIER > KIEHLS > BIOTHERM > ARMANI > KERASTASE > NYX > YSL > LRP > VICHY\n",
      "\n",
      "gender vs brand product target gender=unisex\n",
      "brand categories : ['CERAVE', 'KIEHLS']\n",
      "removed categories : ['GARNIER', 'LRP', 'VICHY']\n",
      "male : CERAVE = KIEHLS\n",
      "female : KIEHLS = CERAVE\n",
      "\n",
      "age vs product target gender brand=ARMANI\n",
      "product target gender categories : ['female', 'male', 'unspecified']\n",
      "removed categories : []\n",
      "<15y : female = unspecified > male\n",
      "15y-25y : unspecified > female > male\n",
      "25y-35y : male > female > unspecified\n",
      "35y-45y : male = female > unspecified\n",
      "45-75y : unspecified = female = male\n",
      "\n",
      "age vs product target gender brand=GARNIER\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['male', 'unisex']\n",
      "<15y : unspecified > female\n",
      "15y-25y : female > unspecified\n",
      "25y-35y : female = unspecified\n",
      "35y-45y : unspecified > female\n",
      "45-75y : female > unspecified\n",
      "\n",
      "age vs product target gender brand=LANCOME\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : []\n",
      "<15y : unspecified > female\n",
      "15y-25y : unspecified > female\n",
      "25y-35y : female > unspecified\n",
      "35y-45y : female > unspecified\n",
      "45-75y : female = unspecified\n",
      "\n",
      "age vs product target gender brand=LRP\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['unisex']\n",
      "<15y : female > unspecified\n",
      "15y-25y : female > unspecified\n",
      "25y-35y : unspecified > female\n",
      "35y-45y : female > unspecified\n",
      "45-75y : female > unspecified\n",
      "\n",
      "age vs product target gender brand=OAP\n",
      "product target gender categories : ['female', 'unspecified', 'male']\n",
      "removed categories : []\n",
      "<15y : male = unspecified > female\n",
      "15y-25y : unspecified > male > female\n",
      "25y-35y : female > male > unspecified\n",
      "35y-45y : male > female > unspecified\n",
      "45-75y : female > unspecified > male\n",
      "\n",
      "age vs product target gender brand=VICHY\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['unisex']\n",
      "<15y : female > unspecified\n",
      "15y-25y : female > unspecified\n",
      "25y-35y : unspecified > female\n",
      "35y-45y : female > unspecified\n",
      "45-75y : female > unspecified\n",
      "\n",
      "age vs product target gender brand=YSL\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['male']\n",
      "<15y : unspecified > female\n",
      "15y-25y : unspecified = female\n",
      "25y-35y : female > unspecified\n",
      "35y-45y : unspecified > female\n",
      "45-75y : unspecified = female\n",
      "\n",
      "age vs product target gender brand=CERAVE\n",
      "product target gender categories : ['unisex', 'female']\n",
      "removed categories : ['unspecified']\n",
      "<15y : unisex > female\n",
      "15y-25y : unisex = female\n",
      "25y-35y : female > unisex\n",
      "35y-45y : female = unisex\n",
      "45-75y : unisex = female\n",
      "\n",
      "age vs product target gender brand=KIEHLS\n",
      "product target gender categories : ['female', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "<15y : female = unspecified = unisex\n",
      "15y-25y : unisex > female > unspecified\n",
      "25y-35y : female > unisex = unspecified\n",
      "35y-45y : unspecified > unisex > female\n",
      "45-75y : unspecified > female > unisex\n",
      "\n",
      "age vs brand product target gender=female\n",
      "brand categories : ['ARMANI', 'GARNIER', 'LANCOME', 'OAP', 'VICHY', 'YSL', 'CERAVE', 'KIEHLS', 'LRP']\n",
      "removed categories : ['PRADA', 'BIOTHERM']\n",
      "<15y : LRP > CERAVE > GARNIER = KIEHLS > ARMANI > VICHY > YSL > LANCOME = OAP\n",
      "15y-25y : LRP = YSL > GARNIER > ARMANI > KIEHLS > VICHY > CERAVE > LANCOME > OAP\n",
      "25y-35y : OAP > LANCOME > CERAVE > ARMANI = KIEHLS > YSL = GARNIER = VICHY > LRP\n",
      "35y-45y : OAP > VICHY > LANCOME > KIEHLS > ARMANI > LRP = CERAVE > GARNIER > YSL\n",
      "45-75y : VICHY > KIEHLS > OAP > LRP > ARMANI > GARNIER > LANCOME > YSL > CERAVE\n",
      "\n",
      "age vs brand product target gender=male\n",
      "brand categories : ['ARMANI', 'OAP', 'PRADA']\n",
      "removed categories : ['GARNIER', 'YSL', 'BIOTHERM']\n",
      "<15y : OAP = PRADA = ARMANI\n",
      "15y-25y : OAP > ARMANI > PRADA\n",
      "25y-35y : PRADA > ARMANI > OAP\n",
      "35y-45y : OAP > ARMANI = PRADA\n",
      "45-75y : ARMANI = OAP > PRADA\n",
      "\n",
      "age vs brand product target gender=unspecified\n",
      "brand categories : ['GARNIER', 'LRP', 'MNY', 'OAP', 'VICHY', 'KERASTASE', 'LOP', 'ARMANI', 'MAYBELLINE', 'NYX', 'REDKEN', 'YSL', 'BIOTHERM', 'KIEHLS', 'LANCOME']\n",
      "removed categories : ['CERAVE', 'PRADA']\n",
      "<15y : GARNIER > NYX > MNY > LOP > MAYBELLINE > YSL > KERASTASE > KIEHLS > ARMANI > REDKEN > LRP > LANCOME > OAP > BIOTHERM > VICHY\n",
      "15y-25y : MNY > LOP > REDKEN > LANCOME > NYX > YSL > MAYBELLINE > ARMANI > KERASTASE > LRP > GARNIER > BIOTHERM > OAP > VICHY > KIEHLS\n",
      "25y-35y : VICHY > OAP > BIOTHERM > LRP > KIEHLS > GARNIER > ARMANI > KERASTASE > LANCOME > MAYBELLINE > YSL > NYX > LOP > MNY > REDKEN\n",
      "35y-45y : KIEHLS > REDKEN > OAP > BIOTHERM > KERASTASE > YSL > NYX > MNY > VICHY > GARNIER > LOP > MAYBELLINE > ARMANI > LANCOME > LRP\n",
      "45-75y : KIEHLS > ARMANI > OAP > YSL > KERASTASE > BIOTHERM > MNY > VICHY > NYX > MAYBELLINE > LANCOME > GARNIER > LOP > LRP > REDKEN\n",
      "\n",
      "age vs brand product target gender=unisex\n",
      "brand categories : ['CERAVE', 'KIEHLS']\n",
      "removed categories : ['GARNIER', 'LRP', 'VICHY']\n",
      "<15y : CERAVE > KIEHLS\n",
      "15y-25y : KIEHLS > CERAVE\n",
      "25y-35y : CERAVE = KIEHLS\n",
      "35y-45y : KIEHLS > CERAVE\n",
      "45-75y : KIEHLS > CERAVE\n",
      "\n",
      "skin tone vs product target gender brand=ARMANI\n",
      "product target gender categories : ['female', 'male', 'unspecified']\n",
      "removed categories : []\n",
      "light : female = male > unspecified\n",
      "medium : unspecified > female = male\n",
      "dark : unspecified = male > female\n",
      "\n",
      "skin tone vs product target gender brand=GARNIER\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['male', 'unisex']\n",
      "light : unspecified > female\n",
      "medium : unspecified = female\n",
      "dark : female > unspecified\n",
      "\n",
      "skin tone vs product target gender brand=LANCOME\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : []\n",
      "light : female > unspecified\n",
      "medium : unspecified > female\n",
      "dark : unspecified > female\n",
      "\n",
      "skin tone vs product target gender brand=LRP\n",
      "product target gender categories : ['unspecified', 'female']\n",
      "removed categories : ['unisex']\n",
      "light : unspecified > female\n",
      "medium : female > unspecified\n",
      "dark : unspecified = female\n",
      "\n",
      "skin tone vs product target gender brand=OAP\n",
      "product target gender categories : ['female', 'unspecified', 'male']\n",
      "removed categories : []\n",
      "light : female > male = unspecified\n",
      "medium : male > unspecified > female\n",
      "dark : unspecified > female = male\n",
      "\n",
      "skin tone vs product target gender brand=VICHY\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['unisex']\n",
      "light : unspecified > female\n",
      "medium : female > unspecified\n",
      "dark : female > unspecified\n",
      "\n",
      "skin tone vs product target gender brand=YSL\n",
      "product target gender categories : ['female', 'unspecified']\n",
      "removed categories : ['male']\n",
      "light : female > unspecified\n",
      "medium : unspecified > female\n",
      "dark : unspecified > female\n",
      "\n",
      "skin tone vs product target gender brand=CERAVE\n",
      "product target gender categories : ['unisex', 'female']\n",
      "removed categories : ['unspecified']\n",
      "light : female = unisex\n",
      "medium : unisex = female\n",
      "dark : unisex = female\n",
      "\n",
      "skin tone vs product target gender brand=KIEHLS\n",
      "product target gender categories : ['female', 'unspecified', 'unisex']\n",
      "removed categories : []\n",
      "light : unspecified > unisex = female\n",
      "medium : female = unisex > unspecified\n",
      "dark : female > unisex > unspecified\n",
      "\n",
      "skin tone vs brand product target gender=female\n",
      "brand categories : ['ARMANI', 'GARNIER', 'LANCOME', 'OAP', 'VICHY', 'YSL', 'CERAVE', 'KIEHLS', 'LRP']\n",
      "removed categories : ['PRADA', 'BIOTHERM']\n",
      "light : CERAVE > LANCOME > OAP > VICHY > YSL = ARMANI > GARNIER > LRP > KIEHLS\n",
      "medium : KIEHLS > LRP > ARMANI = VICHY > GARNIER > OAP > YSL > LANCOME > CERAVE\n",
      "dark : YSL > GARNIER > LRP > KIEHLS > ARMANI > OAP > VICHY = LANCOME > CERAVE\n",
      "\n",
      "skin tone vs brand product target gender=male\n",
      "brand categories : ['ARMANI', 'OAP', 'PRADA']\n",
      "removed categories : ['GARNIER', 'YSL', 'BIOTHERM']\n",
      "light : PRADA > OAP = ARMANI\n",
      "medium : OAP > ARMANI > PRADA\n",
      "dark : ARMANI > PRADA > OAP\n",
      "\n",
      "skin tone vs brand product target gender=unspecified\n",
      "brand categories : ['GARNIER', 'LRP', 'MNY', 'OAP', 'VICHY', 'KERASTASE', 'LOP', 'ARMANI', 'MAYBELLINE', 'NYX', 'REDKEN', 'YSL', 'BIOTHERM', 'KIEHLS', 'LANCOME']\n",
      "removed categories : ['CERAVE', 'PRADA']\n",
      "light : VICHY > LOP > BIOTHERM > KERASTASE > GARNIER > REDKEN > MNY > LRP > KIEHLS > OAP > MAYBELLINE > YSL > NYX > LANCOME > ARMANI\n",
      "medium : LANCOME > ARMANI > NYX > MAYBELLINE > KIEHLS > REDKEN > MNY > OAP > GARNIER > YSL > LOP > LRP > KERASTASE > BIOTHERM > VICHY\n",
      "dark : YSL > ARMANI > NYX > LRP > MAYBELLINE > LANCOME > OAP > BIOTHERM > KERASTASE > GARNIER > MNY > KIEHLS > LOP > REDKEN > VICHY\n",
      "\n",
      "skin tone vs brand product target gender=unisex\n",
      "brand categories : ['CERAVE', 'KIEHLS']\n",
      "removed categories : ['GARNIER', 'LRP', 'VICHY']\n",
      "light : CERAVE > KIEHLS\n",
      "medium : KIEHLS > CERAVE\n",
      "dark : KIEHLS > CERAVE\n",
      "\n",
      "gender vs product target gender product type=fragrance\n",
      "product target gender categories : ['female', 'unspecified', 'male']\n",
      "removed categories : []\n",
      "male : male > unspecified > female\n",
      "female : female > unspecified > male\n",
      "\n",
      "gender vs product target gender product type=haircare\n",
      "product target gender categories : ['male', 'unspecified']\n",
      "removed categories : []\n",
      "male : male > unspecified\n",
      "female : unspecified > male\n",
      "\n",
      "gender vs product target gender product type=skincare\n",
      "product target gender categories : ['female', 'unspecified', 'unisex', 'male']\n",
      "removed categories : []\n",
      "male : male > unspecified = unisex > female\n",
      "female : female > unisex = unspecified > male\n",
      "\n",
      "gender vs product type product target gender=female\n",
      "product type categories : ['fragrance', 'skincare']\n",
      "removed categories : ['makeup']\n",
      "male : skincare > fragrance\n",
      "female : fragrance > skincare\n",
      "\n",
      "gender vs product type product target gender=male\n",
      "product type categories : ['haircare', 'fragrance', 'skincare']\n",
      "removed categories : ['makeup']\n",
      "male : haircare = skincare > fragrance\n",
      "female : fragrance > skincare = haircare\n",
      "\n",
      "gender vs product type product target gender=unspecified\n",
      "product type categories : ['makeup', 'haircare', 'fragrance', 'skincare']\n",
      "removed categories : []\n",
      "male : skincare = fragrance > makeup > haircare\n",
      "female : haircare > makeup > fragrance = skincare\n",
      "\n",
      "age vs product target gender product type=fragrance\n",
      "product target gender categories : ['female', 'unspecified', 'male']\n",
      "removed categories : []\n",
      "<15y : unspecified > female > male\n",
      "15y-25y : unspecified = female > male\n",
      "25y-35y : male > female > unspecified\n",
      "35y-45y : female = male = unspecified\n",
      "45-75y : unspecified = female > male\n",
      "\n",
      "age vs product target gender product type=haircare\n",
      "product target gender categories : ['male', 'unspecified']\n",
      "removed categories : []\n",
      "<15y : unspecified > male\n",
      "15y-25y : unspecified > male\n",
      "25y-35y : male > unspecified\n",
      "35y-45y : male > unspecified\n",
      "45-75y : male > unspecified\n",
      "\n",
      "age vs product target gender product type=skincare\n",
      "product target gender categories : ['female', 'unspecified', 'unisex', 'male']\n",
      "removed categories : []\n",
      "<15y : unisex > female > unspecified = male\n",
      "15y-25y : unspecified > unisex = female > male\n",
      "25y-35y : male > female = unspecified > unisex\n",
      "35y-45y : male > female > unisex > unspecified\n",
      "45-75y : female > unisex = unspecified > male\n",
      "\n",
      "age vs product type product target gender=female\n",
      "product type categories : ['fragrance', 'skincare']\n",
      "removed categories : ['makeup']\n",
      "<15y : skincare > fragrance\n",
      "15y-25y : skincare > fragrance\n",
      "25y-35y : fragrance > skincare\n",
      "35y-45y : skincare = fragrance\n",
      "45-75y : skincare > fragrance\n",
      "\n",
      "age vs product type product target gender=male\n",
      "product type categories : ['haircare', 'fragrance', 'skincare']\n",
      "removed categories : ['makeup']\n",
      "<15y : skincare > fragrance = haircare\n",
      "15y-25y : haircare = skincare > fragrance\n",
      "25y-35y : fragrance > skincare = haircare\n",
      "35y-45y : skincare = haircare > fragrance\n",
      "45-75y : haircare > fragrance > skincare\n",
      "\n",
      "age vs product type product target gender=unspecified\n",
      "product type categories : ['makeup', 'haircare', 'fragrance', 'skincare']\n",
      "removed categories : []\n",
      "<15y : makeup = haircare > fragrance > skincare\n",
      "15y-25y : makeup = skincare > haircare > fragrance\n",
      "25y-35y : fragrance = skincare = haircare > makeup\n",
      "35y-45y : makeup = fragrance = haircare > skincare\n",
      "45-75y : fragrance = makeup > haircare > skincare\n",
      "\n",
      "skin tone vs product target gender product type=fragrance\n",
      "product target gender categories : ['female', 'unspecified', 'male']\n",
      "removed categories : []\n",
      "light : female > male > unspecified\n",
      "medium : unspecified > male > female\n",
      "dark : unspecified = male > female\n",
      "\n",
      "skin tone vs product target gender product type=haircare\n",
      "product target gender categories : ['male', 'unspecified']\n",
      "removed categories : []\n",
      "light : unspecified > male\n",
      "medium : male > unspecified\n",
      "dark : unspecified = male\n",
      "\n",
      "skin tone vs product target gender product type=skincare\n",
      "product target gender categories : ['female', 'unspecified', 'unisex', 'male']\n",
      "removed categories : []\n",
      "light : unisex > male > unspecified = female\n",
      "medium : male > female > unisex = unspecified\n",
      "dark : unspecified > female > unisex > male\n",
      "\n",
      "skin tone vs product type product target gender=female\n",
      "product type categories : ['fragrance', 'skincare']\n",
      "removed categories : ['makeup']\n",
      "light : fragrance > skincare\n",
      "medium : skincare > fragrance\n",
      "dark : skincare = fragrance\n",
      "\n",
      "skin tone vs product type product target gender=male\n",
      "product type categories : ['haircare', 'fragrance', 'skincare']\n",
      "removed categories : ['makeup']\n",
      "light : skincare = haircare = fragrance\n",
      "medium : haircare = skincare > fragrance\n",
      "dark : fragrance > haircare = skincare\n",
      "\n",
      "skin tone vs product type product target gender=unspecified\n",
      "product type categories : ['makeup', 'haircare', 'fragrance', 'skincare']\n",
      "removed categories : []\n",
      "light : haircare > skincare > makeup > fragrance\n",
      "medium : fragrance > makeup > haircare > skincare\n",
      "dark : fragrance > skincare > makeup > haircare\n",
      "\n"
     ]
    }
   ],
   "source": [
    "metadata_vars = [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "rp_vars = [\"gender\", \"age\", \"skin tone\"]\n",
    "\n",
    "for i in range(len(metadata_vars)):\n",
    "    for j in range(i + 1, len(metadata_vars)):\n",
    "        for rp in rp_vars:\n",
    "            metadata2_x_rp(data_df, rp_data2, metadata_vars[i], metadata_vars[j], rp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[4, 3, 7],\n",
       "       [2, 0, 4],\n",
       "       [5, 7, 9],\n",
       "       [4, 9, 1]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr = np.random.randint(0, 10, (4, 3))\n",
    "arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 9])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr[[1, 2], [0, 2]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5, 7, 9]])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr[(arr >= 5).all(axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([248,  36,   1, ..., 163, 167, 583])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rp_data2[:, 1].sum(axis=(1, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([291, 409, 214, ..., 164, 240, 640])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rp_data2.sum(axis=(1, 2, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gender_heatmap(df, rp_data, metadata1, metadata2, alpha=0.05):\n",
    "    seaborn.set_style(\"dark\")\n",
    "    assert metadata1 in [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "    assert metadata2 in [\"country\", \"brand\", \"product type\", \"product target gender\"]\n",
    "    metadata1_cats_dist = collections.Counter(df[metadata1])\n",
    "    metadata2_cats_dist = collections.Counter(df[metadata2])\n",
    "    metadata1_cats = np.array(sorted(metadata1_cats_dist.keys(), key=lambda cat: metadata1_cats_dist[cat], \n",
    "                                     reverse=True))\n",
    "    metadata2_cats = np.array(sorted(metadata2_cats_dist.keys(), key=lambda cat: metadata2_cats_dist[cat], \n",
    "                                     reverse=True))\n",
    "    count_arr = np.zeros((len(metadata1_cats), len(metadata2_cats)), dtype=int)\n",
    "    for (metadata1_cat, metadata2_cat), gdf in df.groupby([metadata1, metadata2]):\n",
    "        i = (metadata1_cats == metadata1_cat).nonzero()[0].item()\n",
    "        j = (metadata2_cats == metadata2_cat).nonzero()[0].item()\n",
    "        count_arr[i, j] = len(gdf)\n",
    "    row_index = (count_arr >= 30).any(axis=1)\n",
    "    metadata1_cats, count_arr = metadata1_cats[row_index], count_arr[row_index]\n",
    "    column_index = (count_arr >= 30).any(axis=0)\n",
    "    metadata2_cats, count_arr = metadata2_cats[column_index], count_arr[:, column_index]\n",
    "    value_arr = np.zeros((len(metadata1_cats), len(metadata2_cats)), dtype=float)\n",
    "    for i, metadata1_cat in enumerate(metadata1_cats):\n",
    "        for j, metadata2_cat in enumerate(metadata2_cats):\n",
    "            ind = (df[metadata1] == metadata1_cat) & (df[metadata2] == metadata2_cat)\n",
    "            if count_arr[i, j] < 30:\n",
    "                value_arr[i, j] = np.nan\n",
    "            else:\n",
    "                n_female_faces = rp_data[ind, 1].sum(axis=(1, 2))\n",
    "                n_total_faces = rp_data[ind].sum(axis=(1, 2, 3))\n",
    "                value_arr[i, j] = (n_female_faces/n_total_faces).mean()\n",
    "                res = scipy.stats.ttest_1samp(n_female_faces/n_total_faces, 0.5, alternative=\"two-sided\")\n",
    "                pvalue = res.pvalue\n",
    "                if pvalue >= alpha:\n",
    "                    value_arr[i, j] = np.nan\n",
    "    cmap = matplotlib.colormaps[\"RdBu\"](np.linspace(0.2, 0.9, 100))\n",
    "    cmap = matplotlib.colors.ListedColormap(cmap)\n",
    "    height = len(metadata1_cats) * 1.2\n",
    "    width = len(metadata2_cats)\n",
    "    plt.figure(figsize=(width, height))\n",
    "    ax = seaborn.heatmap(100*value_arr, xticklabels=metadata2_cats, yticklabels=metadata1_cats, annot=True, fmt=\".2f\", \n",
    "                         linewidth=1, cmap=cmap, annot_kws={\"fontsize\":\"xx-small\"}, cbar=True, vmin=0, vmax=100, \n",
    "                         linecolor=\"black\")\n",
    "    ax.set_xticklabels(metadata2_cats, fontsize=\"xx-small\")\n",
    "    ax.set_yticklabels(metadata1_cats, fontsize=\"xx-small\")\n",
    "    cbar = ax.collections[0].colorbar\n",
    "    cbar.ax.tick_params(labelsize=\"xx-small\")\n",
    "    ax.set_xlabel(metadata2.upper(), fontsize=\"xx-small\")\n",
    "    ax.set_ylabel(metadata1.upper(), fontsize=\"xx-small\")\n",
    "    ax.set_title(f\"Female Screentime for {metadata1.upper()} x {metadata2.upper()}\", fontsize=\"xx-small\")\n",
    "    filename = f\"plots/rp_x_metadata_x_metadata/gender_x_{metadata1}_x_{metadata2}.png\"\n",
    "    figure = ax.get_figure()\n",
    "    figure.savefig(filename, dpi=300, bbox_inches=\"tight\")\n",
    "    plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "gender_heatmap(data_df, rp_data2, \"country\", \"brand\")\n",
    "gender_heatmap(data_df, rp_data2, \"product type\", \"brand\")\n",
    "gender_heatmap(data_df, rp_data2, \"product type\", \"country\")\n",
    "gender_heatmap(data_df, rp_data2, \"product target gender\", \"brand\")\n",
    "gender_heatmap(data_df, rp_data2, \"product target gender\", \"country\")\n",
    "gender_heatmap(data_df, rp_data2, \"product target gender\", \"product type\")"
   ]
  }
 ],
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