data_viz.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "674ce09f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from wordcloud import WordCloud\n",
    "from wordcloud import ImageColorGenerator\n",
    "from wordcloud import STOPWORDS\n",
    "import matplotlib.pyplot as plt\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eebf85b0",
   "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>Channel</th>\n",
       "      <th>Title</th>\n",
       "      <th>Views</th>\n",
       "      <th>Post-Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...</td>\n",
       "      <td>754K views</td>\n",
       "      <td>12 hours ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Vikram In Action: Vikram Vedha | Saif Ali Khan...</td>\n",
       "      <td>737K views</td>\n",
       "      <td>15 hours ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Thank God (Trailer Screening) Ft. Sidharth Mal...</td>\n",
       "      <td>219K views</td>\n",
       "      <td>17 hours ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Dhokha: Round D Corner | Dialogue Promo 01: Te...</td>\n",
       "      <td>117K views</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>#KatrinaKaif #AkshayKumar - Teri Galliyon Se #...</td>\n",
       "      <td>178K views</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Channel                                              Title       Views  \\\n",
       "0  T-Series  Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...  754K views   \n",
       "1  T-Series  Vikram In Action: Vikram Vedha | Saif Ali Khan...  737K views   \n",
       "2  T-Series  Thank God (Trailer Screening) Ft. Sidharth Mal...  219K views   \n",
       "3  T-Series  Dhokha: Round D Corner | Dialogue Promo 01: Te...  117K views   \n",
       "4  T-Series  #KatrinaKaif #AkshayKumar - Teri Galliyon Se #...  178K views   \n",
       "\n",
       "      Post-Time  \n",
       "0  12 hours ago  \n",
       "1  15 hours ago  \n",
       "2  17 hours ago  \n",
       "3     1 day ago  \n",
       "4     1 day ago  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"video_info_2022_9_14.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "625e3c65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text = \" \".join(word for word in df['Title'])\n",
    "stopwords = set(STOPWORDS)\n",
    "wordcloud = WordCloud(stopwords=stopwords, background_color=\"white\").generate(text)\n",
    "plt.figure( figsize=(10,10))\n",
    "plt.imshow(wordcloud.recolor(colormap='viridis', random_state = 17), interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ac229bc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " ...]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "views_list = []\n",
    "\n",
    "for value in df['Views'].values:\n",
    "    \n",
    "\n",
    "    \n",
    "    number_result = int(re.search(\"\\d+\", value).group())\n",
    "    \n",
    "    letter_result = re.search(\"[K,M,B]\", value)\n",
    "        \n",
    "        \n",
    "    if letter_result is not None:   \n",
    "\n",
    "\n",
    "        if letter_result.group() == \"K\":\n",
    "            number_result = number_result * 10**3\n",
    "\n",
    "        if letter_result.group() ==\"M\":\n",
    "            number_result = number_result * 10**6\n",
    "\n",
    "        if letter_result.group() == \"B\":\n",
    "            number_result = number_result * 10**9\n",
    "\n",
    "    views_list.append(number_result)\n",
    "views_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5232808f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Channel</th>\n",
       "      <th>Title</th>\n",
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       "      <th>0</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...</td>\n",
       "      <td>754K views</td>\n",
       "      <td>12 hours ago</td>\n",
       "      <td>754000</td>\n",
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       "      <th>1</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Vikram In Action: Vikram Vedha | Saif Ali Khan...</td>\n",
       "      <td>737K views</td>\n",
       "      <td>15 hours ago</td>\n",
       "      <td>737000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Thank God (Trailer Screening) Ft. Sidharth Mal...</td>\n",
       "      <td>219K views</td>\n",
       "      <td>17 hours ago</td>\n",
       "      <td>219000</td>\n",
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       "      <td>Dhokha: Round D Corner | Dialogue Promo 01: Te...</td>\n",
       "      <td>117K views</td>\n",
       "      <td>1 day ago</td>\n",
       "      <td>117000</td>\n",
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       "      <th>4</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>#KatrinaKaif #AkshayKumar - Teri Galliyon Se #...</td>\n",
       "      <td>178K views</td>\n",
       "      <td>1 day ago</td>\n",
       "      <td>178000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Channel                                              Title       Views  \\\n",
       "0  T-Series  Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...  754K views   \n",
       "1  T-Series  Vikram In Action: Vikram Vedha | Saif Ali Khan...  737K views   \n",
       "2  T-Series  Thank God (Trailer Screening) Ft. Sidharth Mal...  219K views   \n",
       "3  T-Series  Dhokha: Round D Corner | Dialogue Promo 01: Te...  117K views   \n",
       "4  T-Series  #KatrinaKaif #AkshayKumar - Teri Galliyon Se #...  178K views   \n",
       "\n",
       "      Post-Time  Views_Numeric  \n",
       "0  12 hours ago         754000  \n",
       "1  15 hours ago         737000  \n",
       "2  17 hours ago         219000  \n",
       "3     1 day ago         117000  \n",
       "4     1 day ago         178000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Views_Numeric'] = views_list\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8ae73446",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Channel          0\n",
       "Title            0\n",
       "Views            0\n",
       "Post-Time        0\n",
       "Views_Numeric    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a88258bb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0fe6b50a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "17 hours ago\n",
      "Number Result: 17\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "10 hours ago\n",
      "Number Result: 10\n",
      "Word Result: hour\n",
      "10 hours ago\n",
      "Number Result: 10\n",
      "Word Result: hour\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "17 hours ago\n",
      "Number Result: 17\n",
      "Word Result: hour\n",
      "18 hours ago\n",
      "Number Result: 18\n",
      "Word Result: hour\n",
      "18 hours ago\n",
      "Number Result: 18\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "18 hours ago\n",
      "Number Result: 18\n",
      "Word Result: hour\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "13 days ago\n",
      "Number Result: 13\n",
      "Word Result: day\n",
      "13 days ago\n",
      "Number Result: 13\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "12 hours ago\n",
      "Number Result: 12\n",
      "Word Result: hour\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "14 hours ago\n",
      "Number Result: 14\n",
      "Word Result: hour\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "16 hours ago\n",
      "Number Result: 16\n",
      "Word Result: hour\n",
      "17 hours ago\n",
      "Number Result: 17\n",
      "Word Result: hour\n",
      "18 hours ago\n",
      "Number Result: 18\n",
      "Word Result: hour\n",
      "19 hours ago\n",
      "Number Result: 19\n",
      "Word Result: hour\n",
      "19 hours ago\n",
      "Number Result: 19\n",
      "Word Result: hour\n",
      "20 hours ago\n",
      "Number Result: 20\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "16 hours ago\n",
      "Number Result: 16\n",
      "Word Result: hour\n",
      "16 hours ago\n",
      "Number Result: 16\n",
      "Word Result: hour\n",
      "17 hours ago\n",
      "Number Result: 17\n",
      "Word Result: hour\n",
      "17 hours ago\n",
      "Number Result: 17\n",
      "Word Result: hour\n",
      "20 hours ago\n",
      "Number Result: 20\n",
      "Word Result: hour\n",
      "21 hours ago\n",
      "Number Result: 21\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Word Result: day\n",
      "14 hours ago\n",
      "Number Result: 14\n",
      "Word Result: hour\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "Streamed 11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "3 hours ago\n",
      "Number Result: 3\n",
      "Word Result: hour\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "16 hours ago\n",
      "Number Result: 16\n",
      "Word Result: hour\n",
      "19 hours ago\n",
      "Number Result: 19\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "4 hours ago\n",
      "Number Result: 4\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Word Result: month\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "Streamed 4 hours ago\n",
      "Number Result: 4\n",
      "Word Result: hour\n",
      "Streamed 5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "Streamed 5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "Streamed 5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "Streamed 5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "Streamed 6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "Streamed 6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "Streamed 6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "Streamed 7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "19 hours ago\n",
      "Number Result: 19\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "17 hours ago\n",
      "Number Result: 17\n",
      "Word Result: hour\n",
      "23 hours ago\n",
      "Number Result: 23\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "15 hours ago\n",
      "Number Result: 15\n",
      "Word Result: hour\n",
      "18 hours ago\n",
      "Number Result: 18\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "13 days ago\n",
      "Number Result: 13\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "Streamed 1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "13 days ago\n",
      "Number Result: 13\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "8 days ago\n",
      "Number Result: 8\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "10 days ago\n",
      "Number Result: 10\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "13 days ago\n",
      "Number Result: 13\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "20 minutes ago\n",
      "Number Result: 20\n",
      "Word Result: minute\n",
      "39 minutes ago\n",
      "Number Result: 39\n",
      "Word Result: minute\n",
      "1 hour ago\n",
      "Number Result: 1\n",
      "Word Result: hour\n",
      "1 hour ago\n",
      "Number Result: 1\n",
      "Word Result: hour\n",
      "2 hours ago\n",
      "Number Result: 2\n",
      "Word Result: hour\n",
      "3 hours ago\n",
      "Number Result: 3\n",
      "Word Result: hour\n",
      "3 hours ago\n",
      "Number Result: 3\n",
      "Word Result: hour\n",
      "4 hours ago\n",
      "Number Result: 4\n",
      "Word Result: hour\n",
      "4 hours ago\n",
      "Number Result: 4\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "5 hours ago\n",
      "Number Result: 5\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "9 hours ago\n",
      "Number Result: 9\n",
      "Word Result: hour\n",
      "10 hours ago\n",
      "Number Result: 10\n",
      "Word Result: hour\n",
      "21 hours ago\n",
      "Number Result: 21\n",
      "Word Result: hour\n",
      "21 hours ago\n",
      "Number Result: 21\n",
      "Word Result: hour\n",
      "22 hours ago\n",
      "Number Result: 22\n",
      "Word Result: hour\n",
      "23 hours ago\n",
      "Number Result: 23\n",
      "Word Result: hour\n",
      "23 hours ago\n",
      "Number Result: 23\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "9 months ago\n",
      "Number Result: 9\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n",
      "3 years ago\n",
      "Number Result: 3\n",
      "Word Result: year\n",
      "3 years ago\n",
      "Number Result: 3\n",
      "Word Result: year\n",
      "3 years ago\n",
      "Number Result: 3\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "4 years ago\n",
      "Number Result: 4\n",
      "Word Result: year\n",
      "5 years ago\n",
      "Number Result: 5\n",
      "Word Result: year\n",
      "5 years ago\n",
      "Number Result: 5\n",
      "Word Result: year\n",
      "5 years ago\n",
      "Number Result: 5\n",
      "Word Result: year\n",
      "5 years ago\n",
      "Number Result: 5\n",
      "Word Result: year\n",
      "5 years ago\n",
      "Number Result: 5\n",
      "Word Result: year\n",
      "8 hours ago\n",
      "Number Result: 8\n",
      "Word Result: hour\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "11 hours ago\n",
      "Number Result: 11\n",
      "Word Result: hour\n",
      "13 hours ago\n",
      "Number Result: 13\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "3 days ago\n",
      "Number Result: 3\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "4 days ago\n",
      "Number Result: 4\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "2 months ago\n",
      "Number Result: 2\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "4 months ago\n",
      "Number Result: 4\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 years ago\n",
      "Number Result: 5\n",
      "Word Result: year\n",
      "5 years ago\n",
      "Number Result: 5\n",
      "Word Result: year\n",
      "6 years ago\n",
      "Number Result: 6\n",
      "Word Result: year\n",
      "6 years ago\n",
      "Number Result: 6\n",
      "Word Result: year\n",
      "6 years ago\n",
      "Number Result: 6\n",
      "Word Result: year\n",
      "6 years ago\n",
      "Number Result: 6\n",
      "Word Result: year\n",
      "6 years ago\n",
      "Number Result: 6\n",
      "Word Result: year\n",
      "6 years ago\n",
      "Number Result: 6\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "7 years ago\n",
      "Number Result: 7\n",
      "Word Result: year\n",
      "8 years ago\n",
      "Number Result: 8\n",
      "Word Result: year\n",
      "8 years ago\n",
      "Number Result: 8\n",
      "Word Result: year\n",
      "8 years ago\n",
      "Number Result: 8\n",
      "Word Result: year\n",
      "8 years ago\n",
      "Number Result: 8\n",
      "Word Result: year\n",
      "8 years ago\n",
      "Number Result: 8\n",
      "Word Result: year\n",
      "8 years ago\n",
      "Number Result: 8\n",
      "Word Result: year\n",
      "8 years ago\n",
      "Number Result: 8\n",
      "Word Result: year\n",
      "3 hours ago\n",
      "Number Result: 3\n",
      "Word Result: hour\n",
      "6 hours ago\n",
      "Number Result: 6\n",
      "Word Result: hour\n",
      "7 hours ago\n",
      "Number Result: 7\n",
      "Word Result: hour\n",
      "1 day ago\n",
      "Number Result: 1\n",
      "Word Result: day\n",
      "2 days ago\n",
      "Number Result: 2\n",
      "Word Result: day\n",
      "5 days ago\n",
      "Number Result: 5\n",
      "Word Result: day\n",
      "6 days ago\n",
      "Number Result: 6\n",
      "Word Result: day\n",
      "7 days ago\n",
      "Number Result: 7\n",
      "Word Result: day\n",
      "9 days ago\n",
      "Number Result: 9\n",
      "Word Result: day\n",
      "11 days ago\n",
      "Number Result: 11\n",
      "Word Result: day\n",
      "12 days ago\n",
      "Number Result: 12\n",
      "Word Result: day\n",
      "13 days ago\n",
      "Number Result: 13\n",
      "Word Result: day\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "2 weeks ago\n",
      "Number Result: 2\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "3 weeks ago\n",
      "Number Result: 3\n",
      "Word Result: week\n",
      "4 weeks ago\n",
      "Number Result: 4\n",
      "Word Result: week\n",
      "1 month ago\n",
      "Number Result: 1\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "3 months ago\n",
      "Number Result: 3\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "5 months ago\n",
      "Number Result: 5\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "6 months ago\n",
      "Number Result: 6\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "7 months ago\n",
      "Number Result: 7\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "8 months ago\n",
      "Number Result: 8\n",
      "Word Result: month\n",
      "10 months ago\n",
      "Number Result: 10\n",
      "Word Result: month\n",
      "11 months ago\n",
      "Number Result: 11\n",
      "Word Result: month\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number Result: 1\n",
      "Word Result: year\n",
      "1 year ago\n",
      "Number Result: 1\n",
      "Word Result: year\n",
      "2 years ago\n",
      "Number Result: 2\n",
      "Word Result: year\n"
     ]
    },
    {
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       " 280,\n",
       " ...]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timing = []\n",
    "\n",
    "for value in df['Post-Time'].values:\n",
    "    \n",
    "    number_result = int(re.search('\\d+',value).group())\n",
    "    \n",
    "    try:\n",
    "        word_result = re.search('(second|minute|hour|day|week|month|year)',value).group()\n",
    "        \n",
    "        print(value)\n",
    "        print(\"Number Result:\", number_result)\n",
    "        print(\"Word Result:\", word_result)\n",
    "        \n",
    "        if word_result == 'second':\n",
    "            number_result = 0\n",
    "        \n",
    "        if word_result == \"minute\":\n",
    "            number_result = number_result / 24 / 60\n",
    "        \n",
    "        if word_result == \"hour\":\n",
    "            number_result = number_result / 24\n",
    "        \n",
    "        if word_result == \"week\":\n",
    "            number_result = number_result * 7\n",
    "            \n",
    "        if word_result == \"month\":\n",
    "            number_result = number_result * 7 * 4\n",
    "        \n",
    "        if word_result == \"year\":\n",
    "            number_result = number_result * 7 * 4 * 12\n",
    "    \n",
    "    except AttributeError:\n",
    "        print(f\"Expceted Error for value: {value}. Word result: {word_result}. Number result: {number_result} Moving on...\")\n",
    "        timing.append(0)\n",
    "        \n",
    "    timing.append(number_result)\n",
    "    \n",
    "timing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82114aad",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Post-Time-Numeric (Days)\"] = timing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d6deced2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Channel</th>\n",
       "      <th>Title</th>\n",
       "      <th>Views</th>\n",
       "      <th>Post-Time</th>\n",
       "      <th>Views_Numeric</th>\n",
       "      <th>Post-Time-Numeric (Days)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...</td>\n",
       "      <td>754K views</td>\n",
       "      <td>12 hours ago</td>\n",
       "      <td>754000</td>\n",
       "      <td>0.500000</td>\n",
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       "      <td>T-Series</td>\n",
       "      <td>Vikram In Action: Vikram Vedha | Saif Ali Khan...</td>\n",
       "      <td>737K views</td>\n",
       "      <td>15 hours ago</td>\n",
       "      <td>737000</td>\n",
       "      <td>0.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Thank God (Trailer Screening) Ft. Sidharth Mal...</td>\n",
       "      <td>219K views</td>\n",
       "      <td>17 hours ago</td>\n",
       "      <td>219000</td>\n",
       "      <td>0.708333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Dhokha: Round D Corner | Dialogue Promo 01: Te...</td>\n",
       "      <td>117K views</td>\n",
       "      <td>1 day ago</td>\n",
       "      <td>117000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>#KatrinaKaif #AkshayKumar - Teri Galliyon Se #...</td>\n",
       "      <td>178K views</td>\n",
       "      <td>1 day ago</td>\n",
       "      <td>178000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Channel                                              Title       Views  \\\n",
       "0  T-Series  Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...  754K views   \n",
       "1  T-Series  Vikram In Action: Vikram Vedha | Saif Ali Khan...  737K views   \n",
       "2  T-Series  Thank God (Trailer Screening) Ft. Sidharth Mal...  219K views   \n",
       "3  T-Series  Dhokha: Round D Corner | Dialogue Promo 01: Te...  117K views   \n",
       "4  T-Series  #KatrinaKaif #AkshayKumar - Teri Galliyon Se #...  178K views   \n",
       "\n",
       "      Post-Time  Views_Numeric  Post-Time-Numeric (Days)  \n",
       "0  12 hours ago         754000                  0.500000  \n",
       "1  15 hours ago         737000                  0.625000  \n",
       "2  17 hours ago         219000                  0.708333  \n",
       "3     1 day ago         117000                  1.000000  \n",
       "4     1 day ago         178000                  1.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1b314b1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1288, 6)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a84cd179",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Number of Characters'] = list(map(len,list(df['Title'].values)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "db3db820",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Channel</th>\n",
       "      <th>Title</th>\n",
       "      <th>Views</th>\n",
       "      <th>Post-Time</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...</td>\n",
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       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Vikram In Action: Vikram Vedha | Saif Ali Khan...</td>\n",
       "      <td>737K views</td>\n",
       "      <td>15 hours ago</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Thank God (Trailer Screening) Ft. Sidharth Mal...</td>\n",
       "      <td>219K views</td>\n",
       "      <td>17 hours ago</td>\n",
       "      <td>219000</td>\n",
       "      <td>0.708333</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Dhokha: Round D Corner | Dialogue Promo 01: Te...</td>\n",
       "      <td>117K views</td>\n",
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       "      <td>117000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <th>4</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>#KatrinaKaif #AkshayKumar - Teri Galliyon Se #...</td>\n",
       "      <td>178K views</td>\n",
       "      <td>1 day ago</td>\n",
       "      <td>178000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    Channel                                              Title       Views  \\\n",
       "0  T-Series  Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...  754K views   \n",
       "1  T-Series  Vikram In Action: Vikram Vedha | Saif Ali Khan...  737K views   \n",
       "2  T-Series  Thank God (Trailer Screening) Ft. Sidharth Mal...  219K views   \n",
       "3  T-Series  Dhokha: Round D Corner | Dialogue Promo 01: Te...  117K views   \n",
       "4  T-Series  #KatrinaKaif #AkshayKumar - Teri Galliyon Se #...  178K views   \n",
       "\n",
       "      Post-Time  Views_Numeric  Post-Time-Numeric (Days)  Number of Characters  \n",
       "0  12 hours ago         754000                  0.500000                   100  \n",
       "1  15 hours ago         737000                  0.625000                    95  \n",
       "2  17 hours ago         219000                  0.708333                    81  \n",
       "3     1 day ago         117000                  1.000000                   100  \n",
       "4     1 day ago         178000                  1.000000                    63  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[df['Number of Characters'] != 0]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f3404700",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7faa2f100250>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['Number of Characters'].values, df['Views_Numeric'].values / pow(10,6))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "37cce942",
   "metadata": {},
   "outputs": [],
   "source": [
    "char_list = list(df['Number of Characters'].values)\n",
    "views_list = list(df['Views_Numeric'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6527020d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import linregress"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "87786163",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r^2 value: 0.03695074337768313\n",
      "p value: 3.475571257591415e-12\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "(slope, intercept, r_value, p_value, std_err) = linregress(char_list, views_list)\n",
    "line_eq = \"y = \" + str(round(slope,2)) + \"x + \" + str(round(intercept,2))\n",
    "regress_values = [(a * slope + intercept) for a in char_list]\n",
    "plt.scatter(char_list,views_list, s = 0.6, alpha = 0.8)\n",
    "plt.plot(char_list,regress_values,\"r\")\n",
    "plt.annotate(line_eq, (10,200000000), fontsize=15, color=\"red\")\n",
    "plt.annotate(f\"r^2 value: {round(pow(r_value,2),3)}\\np value: {'{:0.2e}'.format(p_value)}\", (10,140000000), fontsize = 15, color = 'red')\n",
    "print(f\"r^2 value: {pow(r_value,2)}\\np value: {p_value}\")\n",
    "plt.title(\"Views Vs. Number of Characters\")\n",
    "plt.xlabel(\"Characters in Title\")\n",
    "plt.ylabel(\"Views (100 million)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "38119e42",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['12 hours ago', '15 hours ago', '17 hours ago', '1 day ago', '1 day ago', '1 day ago', '2 days ago', '2 days ago', '2 days ago', '3 days ago', '3 days ago', '4 days ago', '4 days ago', '5 days ago', '5 days ago', '6 days ago', '6 days ago', '7 days ago', '7 days ago', '9 days ago', '9 days ago', '10 days ago', '10 days ago', '11 days ago', '11 days ago', '11 days ago', '11 days ago', '11 days ago', '11 days ago', '11 days ago', '1 day ago', '4 days ago', '8 days ago', '11 days ago', '2 weeks ago', '2 weeks ago', '3 weeks ago', '3 weeks ago', '4 weeks ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '3 months ago', '6 hours ago', '7 hours ago', '7 hours ago', '7 hours ago', '7 hours ago', '7 hours ago', '8 hours ago', '8 hours ago', '8 hours ago', '8 hours ago', '8 hours ago', '9 hours ago', '9 hours ago', '9 hours ago', '9 hours ago', '9 hours ago', '10 hours ago', '10 hours ago', '11 hours ago', '11 hours ago', '11 hours ago', '11 hours ago', '11 hours ago', '12 hours ago', '12 hours ago', '12 hours ago', '12 hours ago', '13 hours ago', '13 hours ago', '13 hours ago', '12 hours ago', '10 days ago', '2 weeks ago', '2 weeks ago', '3 weeks ago', '4 weeks ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '4 months ago', '11 days ago', '3 weeks ago', '1 month ago', '1 month ago', '1 month ago', '2 months ago', '3 months ago', '5 months ago', '5 months ago', '7 months ago', '8 months ago', '8 months ago', '9 months ago', '9 months ago', '10 months ago', '10 months ago', '11 months ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '3 days ago', '8 days ago', '2 weeks ago', '2 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '4 days ago', '8 days ago', '11 days ago', '2 weeks ago', '2 weeks ago', '3 weeks ago', '3 weeks ago', '4 weeks ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '1 month ago', '2 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'1 month ago', '2 months ago', '2 months ago', '2 months ago', '2 months ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '4 months ago', '4 months ago', '4 months ago', '4 months ago', '4 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '6 months ago', '20 minutes ago', '39 minutes ago', '1 hour ago', '1 hour ago', '2 hours ago', '3 hours ago', '3 hours ago', '4 hours ago', '4 hours ago', '5 hours ago', '5 hours ago', '6 hours ago', '6 hours ago', '7 hours ago', '8 hours ago', '8 hours ago', '9 hours ago', '10 hours ago', '21 hours ago', '21 hours ago', '22 hours ago', '23 hours ago', '23 hours ago', '1 day ago', '1 day ago', '1 day ago', '1 day ago', '1 day ago', '1 day ago', '1 day ago', '3 weeks ago', '4 months ago', '7 months ago', '8 months ago', '9 months ago', '11 months ago', '1 year ago', '1 year ago', '2 years ago', '2 years ago', '2 years ago', '3 years ago', '3 years ago', '3 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '4 years ago', '5 years ago', '5 years ago', '5 years ago', '5 years ago', '5 years ago', '8 hours ago', '11 hours ago', '11 hours ago', '13 hours ago', '1 day ago', '1 day ago', '1 day ago', '2 days ago', '2 days ago', '2 days ago', '2 days ago', '2 days ago', '3 days ago', '3 days ago', '3 days ago', '3 days ago', '3 days ago', '4 days ago', '4 days ago', '4 days ago', '4 days ago', '5 days ago', '5 days ago', '5 days ago', '5 days ago', '5 days ago', '5 days ago', '6 days ago', '6 days ago', '6 days ago', '2 weeks ago', '2 weeks ago', '2 months ago', '2 months ago', '4 months ago', '4 months ago', '4 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 months ago', '5 years ago', '5 years ago', '6 years ago', '6 years ago', '6 years ago', '6 years ago', '6 years ago', '6 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '7 years ago', '8 years ago', '8 years ago', '8 years ago', '8 years ago', '8 years ago', '8 years ago', '8 years ago', '3 hours ago', '6 hours ago', '7 hours ago', '1 day ago', '2 days ago', '5 days ago', '6 days ago', '7 days ago', '9 days ago', '11 days ago', '12 days ago', '13 days ago', '2 weeks ago', '2 weeks ago', '2 weeks ago', '2 weeks ago', '2 weeks ago', '2 weeks ago', '2 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '3 weeks ago', '4 weeks ago', '1 month ago', '3 months ago', '3 months ago', '3 months ago', '3 months ago', '5 months ago', '5 months ago', '6 months ago', '6 months ago', '7 months ago', '7 months ago', '7 months ago', '7 months ago', '8 months ago', '8 months ago', '8 months ago', '10 months ago', '11 months ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '1 year ago', '2 years ago']\n"
     ]
    }
   ],
   "source": [
    "time_list = df['Post-Time'].values.tolist()\n",
    "print(time_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fea9146c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "time_list_numeric = df['Post-Time-Numeric (Days)'].values.tolist()\n",
    "print(time_list_numeric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "63d37745",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r^2 value: 0.07980146710036942\n",
      "p value: 4.658572330378934e-25\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(slope, intercept, r_value, p_value, std_err) = linregress(time_list_numeric, views_list)\n",
    "line_eq = \"y = \" + str(round(slope,2)) + \"x + \" + str(round(intercept,2))\n",
    "regress_values = [(a * slope + intercept) for a in time_list_numeric]\n",
    "plt.scatter(time_list_numeric,views_list, s = 0.6, alpha = 0.8)\n",
    "plt.plot(time_list_numeric, regress_values,\"r\")\n",
    "plt.annotate(line_eq, (10,pow(10,8)*2), fontsize=15, color=\"red\")\n",
    "plt.annotate(f\"r^2 value: {round(pow(r_value,2),3)}\\np value: {'{:0.2e}'.format(p_value)}\", (10,pow(10,8)*1.5), fontsize = 15, color = 'red')\n",
    "print(f\"r^2 value: {pow(r_value,2)}\\np value: {p_value}\")\n",
    "plt.title(\"Views Vs. Number Days\")\n",
    "plt.xlabel(\"Number of Days\")\n",
    "plt.ylabel(\"Views (100 million)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a6d8e0c1",
   "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>Channel</th>\n",
       "      <th>Title</th>\n",
       "      <th>Views</th>\n",
       "      <th>Post-Time</th>\n",
       "      <th>Views_Numeric</th>\n",
       "      <th>Post-Time-Numeric (Days)</th>\n",
       "      <th>Number of Characters</th>\n",
       "      <th>Views per Day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...</td>\n",
       "      <td>754K views</td>\n",
       "      <td>12 hours ago</td>\n",
       "      <td>754000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>100</td>\n",
       "      <td>1.508000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Vikram In Action: Vikram Vedha | Saif Ali Khan...</td>\n",
       "      <td>737K views</td>\n",
       "      <td>15 hours ago</td>\n",
       "      <td>737000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>95</td>\n",
       "      <td>1.179200e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Thank God (Trailer Screening) Ft. Sidharth Mal...</td>\n",
       "      <td>219K views</td>\n",
       "      <td>17 hours ago</td>\n",
       "      <td>219000</td>\n",
       "      <td>0.708333</td>\n",
       "      <td>81</td>\n",
       "      <td>3.091765e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>Dhokha: Round D Corner | Dialogue Promo 01: Te...</td>\n",
       "      <td>117K views</td>\n",
       "      <td>1 day ago</td>\n",
       "      <td>117000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>100</td>\n",
       "      <td>1.170000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>#KatrinaKaif #AkshayKumar - Teri Galliyon Se #...</td>\n",
       "      <td>178K views</td>\n",
       "      <td>1 day ago</td>\n",
       "      <td>178000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>63</td>\n",
       "      <td>1.780000e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Channel                                              Title       Views  \\\n",
       "0  T-Series  Tu Banke Hawa - Dhokha: Round D Corner | R. Ma...  754K views   \n",
       "1  T-Series  Vikram In Action: Vikram Vedha | Saif Ali Khan...  737K views   \n",
       "2  T-Series  Thank God (Trailer Screening) Ft. Sidharth Mal...  219K views   \n",
       "3  T-Series  Dhokha: Round D Corner | Dialogue Promo 01: Te...  117K views   \n",
       "4  T-Series  #KatrinaKaif #AkshayKumar - Teri Galliyon Se #...  178K views   \n",
       "\n",
       "      Post-Time  Views_Numeric  Post-Time-Numeric (Days)  \\\n",
       "0  12 hours ago         754000                  0.500000   \n",
       "1  15 hours ago         737000                  0.625000   \n",
       "2  17 hours ago         219000                  0.708333   \n",
       "3     1 day ago         117000                  1.000000   \n",
       "4     1 day ago         178000                  1.000000   \n",
       "\n",
       "   Number of Characters  Views per Day  \n",
       "0                   100   1.508000e+06  \n",
       "1                    95   1.179200e+06  \n",
       "2                    81   3.091765e+05  \n",
       "3                   100   1.170000e+05  \n",
       "4                    63   1.780000e+05  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Views per Day'] = df['Views_Numeric'] / df['Post-Time-Numeric (Days)']\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "9c16e11d",
   "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>Views_Numeric</th>\n",
       "      <th>Post-Time-Numeric (Days)</th>\n",
       "      <th>Number of Characters</th>\n",
       "      <th>Views per Day</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Channel</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Blackpink</th>\n",
       "      <td>3.753333e+07</td>\n",
       "      <td>22.433333</td>\n",
       "      <td>54.666667</td>\n",
       "      <td>2.191667e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>T-Series</th>\n",
       "      <td>4.888400e+06</td>\n",
       "      <td>5.861111</td>\n",
       "      <td>91.966667</td>\n",
       "      <td>1.129774e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MrBeast</th>\n",
       "      <td>1.008667e+08</td>\n",
       "      <td>230.666667</td>\n",
       "      <td>35.333333</td>\n",
       "      <td>7.583808e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kids Diana Show</th>\n",
       "      <td>3.713333e+07</td>\n",
       "      <td>44.466667</td>\n",
       "      <td>52.400000</td>\n",
       "      <td>7.533730e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cocomelon - Nursery Rhymes</th>\n",
       "      <td>1.746667e+07</td>\n",
       "      <td>33.933333</td>\n",
       "      <td>68.600000</td>\n",
       "      <td>6.677489e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Views_Numeric  Post-Time-Numeric (Days)  \\\n",
       "Channel                                                               \n",
       "Blackpink                    3.753333e+07                 22.433333   \n",
       "T-Series                     4.888400e+06                  5.861111   \n",
       "MrBeast                      1.008667e+08                230.666667   \n",
       "Kids Diana Show              3.713333e+07                 44.466667   \n",
       "Cocomelon - Nursery Rhymes   1.746667e+07                 33.933333   \n",
       "\n",
       "                            Number of Characters  Views per Day  \n",
       "Channel                                                          \n",
       "Blackpink                              54.666667   2.191667e+06  \n",
       "T-Series                               91.966667   1.129774e+06  \n",
       "MrBeast                                35.333333   7.583808e+05  \n",
       "Kids Diana Show                        52.400000   7.533730e+05  \n",
       "Cocomelon - Nursery Rhymes             68.600000   6.677489e+05  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ordered_df = df.groupby('Channel').mean().sort_values('Views per Day', ascending = False)\n",
    "ordered_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "51222d56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.bar( ordered_df.index.values[:10] ,ordered_df['Views per Day'].values[:10])\n",
    "plt.xticks(rotation= 90)\n",
    "plt.title(\"Average Views per Day for Top Channels\")\n",
    "plt.ylabel(\"Views per Day (millions)\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f86f61e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a7dc1b0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "PythonData",
   "language": "python",
   "name": "pythondata"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}