Analysis_On_Old_Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ca8dc029",
   "metadata": {},
   "source": [
    "### Iimporting the libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8372b64b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: wordcloud in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (1.9.3)\n",
      "Requirement already satisfied: numpy>=1.6.1 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from wordcloud) (1.26.2)\n",
      "Requirement already satisfied: pillow in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from wordcloud) (10.2.0)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from wordcloud) (3.8.2)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->wordcloud) (1.2.0)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->wordcloud) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->wordcloud) (4.47.2)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->wordcloud) (1.4.5)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->wordcloud) (23.2)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->wordcloud) (3.1.1)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->wordcloud) (2.8.2)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-dateutil>=2.7->matplotlib->wordcloud) (1.16.0)\n",
      "Requirement already satisfied: nltk in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (3.8.1)\n",
      "Requirement already satisfied: click in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from nltk) (8.1.7)\n",
      "Requirement already satisfied: joblib in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from nltk) (1.3.2)\n",
      "Requirement already satisfied: regex>=2021.8.3 in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from nltk) (2023.12.25)\n",
      "Requirement already satisfied: tqdm in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from nltk) (4.66.1)\n",
      "Requirement already satisfied: colorama in c:\\users\\a1kin\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from click->nltk) (0.4.6)\n"
     ]
    }
   ],
   "source": [
    "!pip install wordcloud\n",
    "!pip install nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d7841de1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\a1kin\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\a1kin\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\a1kin\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From c:\\Users\\a1kin\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Importing the libraries for visualization \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "# Importing the libraries for text processing\n",
    "import nltk\n",
    "import re\n",
    "import string\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import train_test_split \n",
    "from sklearn.feature_extraction.text import TfidfVectorizer \n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "nltk.download('stopwords')\n",
    "nltk.download('punkt')\n",
    "nltk.download('wordnet')\n",
    "\n",
    "# Importing the libraries for model building\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from sklearn.metrics import classification_report\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e66cc70",
   "metadata": {},
   "source": [
    "### Read Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "24012abd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#reading the dataset\n",
    "\n",
    "df = pd.read_csv('Stack_Overflow_Old.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4d4c4280",
   "metadata": {},
   "outputs": [
    {
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       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>Tools for porting J# code to C#</td>\n",
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       "    PostId     PostCreationDate  OwnerUserId    OwnerCreationDate  \\\n",
       "0        4  07/31/2008 21:42:52            8  07/31/2008 21:33:24   \n",
       "1        6  07/31/2008 22:08:08            9  07/31/2008 21:35:26   \n",
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       "4  9610539  03/07/2012 23:07:09      1021610  10/31/2011 08:26:49   \n",
       "\n",
       "   ReputationAtPostCreation  OwnerUndeletedAnswerCountAtPostTime  \\\n",
       "0                         1                                    0   \n",
       "1                         1                                    0   \n",
       "2                        16                                    1   \n",
       "3                         1                                    1   \n",
       "4                        29                                    0   \n",
       "\n",
       "                                               Title  \\\n",
       "0                                 Decimal vs Double?   \n",
       "1  Percentage width child in absolutely positione...   \n",
       "2                    Tools for porting J# code to C#   \n",
       "3            How do I calculate someone's age in c#?   \n",
       "4     retrieve data from NSUserDefaults to TableView   \n",
       "\n",
       "                                        BodyMarkdown    Tag1         Tag2  \\\n",
       "0  I'm new to C#, and I want to use a trackbar fo...      c#          NaN   \n",
       "1  I've got an absolutely positioned div containi...    html          css   \n",
       "2  Are there any conversion tools for porting Vis...      j#          NaN   \n",
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       "3   NaN  NaN  NaN            NaN       open  \n",
       "4  ios5  NaN  NaN            NaN       open  "
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     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f2ffff23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3370528, 15)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7d333de8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PostId', 'PostCreationDate', 'OwnerUserId', 'OwnerCreationDate',\n",
       "       'ReputationAtPostCreation', 'OwnerUndeletedAnswerCountAtPostTime',\n",
       "       'Title', 'BodyMarkdown', 'Tag1', 'Tag2', 'Tag3', 'Tag4', 'Tag5',\n",
       "       'PostClosedDate', 'OpenStatus'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4633c4c0",
   "metadata": {},
   "source": [
    "#### Dropping the columns/features which are not gonna contribute to the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f53ec84f",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df.drop(['OwnerUserId'],axis=1,inplace=True)\n",
    "df.drop(['OwnerUndeletedAnswerCountAtPostTime'],axis=1,inplace=True)\n",
    "df.drop(['PostClosedDate'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4118a2df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3370528, 12)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "69a5ac30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PostId', 'PostCreationDate', 'OwnerCreationDate',\n",
       "       'ReputationAtPostCreation', 'Title', 'BodyMarkdown', 'Tag1', 'Tag2',\n",
       "       'Tag3', 'Tag4', 'Tag5', 'OpenStatus'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ec2f3cfa",
   "metadata": {},
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       "      <td>j#</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>How do I calculate someone's age in c#?</td>\n",
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       "      <td>03/07/2012 23:07:09</td>\n",
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       "      <td>retrieve data from NSUserDefaults to TableView</td>\n",
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       "    PostId     PostCreationDate    OwnerCreationDate  \\\n",
       "0        4  07/31/2008 21:42:52  07/31/2008 21:33:24   \n",
       "1        6  07/31/2008 22:08:08  07/31/2008 21:35:26   \n",
       "2        8  07/31/2008 23:33:19  07/31/2008 21:35:26   \n",
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       "4  9610539  03/07/2012 23:07:09  10/31/2011 08:26:49   \n",
       "\n",
       "   ReputationAtPostCreation  \\\n",
       "0                         1   \n",
       "1                         1   \n",
       "2                        16   \n",
       "3                         1   \n",
       "4                        29   \n",
       "\n",
       "                                               Title  \\\n",
       "0                                 Decimal vs Double?   \n",
       "1  Percentage width child in absolutely positione...   \n",
       "2                    Tools for porting J# code to C#   \n",
       "3            How do I calculate someone's age in c#?   \n",
       "4     retrieve data from NSUserDefaults to TableView   \n",
       "\n",
       "                                        BodyMarkdown    Tag1         Tag2  \\\n",
       "0  I'm new to C#, and I want to use a trackbar fo...      c#          NaN   \n",
       "1  I've got an absolutely positioned div containi...    html          css   \n",
       "2  Are there any conversion tools for porting Vis...      j#          NaN   \n",
       "3  Given a DateTime representing their birthday, ...      c#          NaN   \n",
       "4  I save values of two labels through NSUserDefa...  iphone  objective-c   \n",
       "\n",
       "   Tag3 Tag4 Tag5 OpenStatus  \n",
       "0   NaN  NaN  NaN       open  \n",
       "1   NaN  NaN  NaN       open  \n",
       "2   NaN  NaN  NaN       open  \n",
       "3   NaN  NaN  NaN       open  \n",
       "4  ios5  NaN  NaN       open  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c899e753",
   "metadata": {},
   "source": [
    "#### Checking null values in the tag columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0b32b313",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "160"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking null values in the tag columns\n",
    "df['Tag1'].isnull().sum()\n",
    "# df['Tag2'].isnull().sum()\n",
    "# df['Tag3'].isnull().sum()\n",
    "# df['Tag4'].isnull().sum()\n",
    "# df['Tag5'].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94dfe04c",
   "metadata": {},
   "source": [
    "#### Elminate Null Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "93e11e60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#there are many nulll values in the tag columns, we need to elminate the null values\n",
    "df['Tag1']=df['Tag1'].replace(np.nan,' ')\n",
    "df['Tag2']=df['Tag2'].replace(np.nan,' ')\n",
    "df['Tag3']=df['Tag3'].replace(np.nan,' ')\n",
    "df['Tag4']=df['Tag4'].replace(np.nan,' ')\n",
    "df['Tag5']=df['Tag5'].replace(np.nan,' ')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "197d25d4",
   "metadata": {},
   "source": [
    "#### Tags are just the tags related to the question, we can combine them all into one column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "abc3455e",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df['Tags']=df['Tag1']+' '+df['Tag2']+' '+df['Tag3']+' '+df['Tag4']+' '+df['Tag5']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9d8f671",
   "metadata": {},
   "source": [
    "#### Changing into lower case and removing the whitespaces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "438ff9d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Tags']=df['Tags'].str.lower()\n",
    "df['Tags']=df['Tags'].apply(lambda x:x.lstrip())\n",
    "df['Tags']=df['Tags'].apply(lambda x:x.rstrip())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d909ca8a",
   "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>PostId</th>\n",
       "      <th>PostCreationDate</th>\n",
       "      <th>OwnerCreationDate</th>\n",
       "      <th>ReputationAtPostCreation</th>\n",
       "      <th>Title</th>\n",
       "      <th>BodyMarkdown</th>\n",
       "      <th>Tag1</th>\n",
       "      <th>Tag2</th>\n",
       "      <th>Tag3</th>\n",
       "      <th>Tag4</th>\n",
       "      <th>Tag5</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Tags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>07/31/2008 21:42:52</td>\n",
       "      <td>07/31/2008 21:33:24</td>\n",
       "      <td>1</td>\n",
       "      <td>Decimal vs Double?</td>\n",
       "      <td>I'm new to C#, and I want to use a trackbar fo...</td>\n",
       "      <td>c#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>07/31/2008 22:08:08</td>\n",
       "      <td>07/31/2008 21:35:26</td>\n",
       "      <td>1</td>\n",
       "      <td>Percentage width child in absolutely positione...</td>\n",
       "      <td>I've got an absolutely positioned div containi...</td>\n",
       "      <td>html</td>\n",
       "      <td>css</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>html css</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>07/31/2008 23:33:19</td>\n",
       "      <td>07/31/2008 21:35:26</td>\n",
       "      <td>16</td>\n",
       "      <td>Tools for porting J# code to C#</td>\n",
       "      <td>Are there any conversion tools for porting Vis...</td>\n",
       "      <td>j#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>j#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>07/31/2008 23:40:59</td>\n",
       "      <td>07/31/2008 14:22:31</td>\n",
       "      <td>1</td>\n",
       "      <td>How do I calculate someone's age in c#?</td>\n",
       "      <td>Given a DateTime representing their birthday, ...</td>\n",
       "      <td>c#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9610539</td>\n",
       "      <td>03/07/2012 23:07:09</td>\n",
       "      <td>10/31/2011 08:26:49</td>\n",
       "      <td>29</td>\n",
       "      <td>retrieve data from NSUserDefaults to TableView</td>\n",
       "      <td>I save values of two labels through NSUserDefa...</td>\n",
       "      <td>iphone</td>\n",
       "      <td>objective-c</td>\n",
       "      <td>ios5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>iphone objective-c ios5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    PostId     PostCreationDate    OwnerCreationDate  \\\n",
       "0        4  07/31/2008 21:42:52  07/31/2008 21:33:24   \n",
       "1        6  07/31/2008 22:08:08  07/31/2008 21:35:26   \n",
       "2        8  07/31/2008 23:33:19  07/31/2008 21:35:26   \n",
       "3        9  07/31/2008 23:40:59  07/31/2008 14:22:31   \n",
       "4  9610539  03/07/2012 23:07:09  10/31/2011 08:26:49   \n",
       "\n",
       "   ReputationAtPostCreation  \\\n",
       "0                         1   \n",
       "1                         1   \n",
       "2                        16   \n",
       "3                         1   \n",
       "4                        29   \n",
       "\n",
       "                                               Title  \\\n",
       "0                                 Decimal vs Double?   \n",
       "1  Percentage width child in absolutely positione...   \n",
       "2                    Tools for porting J# code to C#   \n",
       "3            How do I calculate someone's age in c#?   \n",
       "4     retrieve data from NSUserDefaults to TableView   \n",
       "\n",
       "                                        BodyMarkdown    Tag1         Tag2  \\\n",
       "0  I'm new to C#, and I want to use a trackbar fo...      c#                \n",
       "1  I've got an absolutely positioned div containi...    html          css   \n",
       "2  Are there any conversion tools for porting Vis...      j#                \n",
       "3  Given a DateTime representing their birthday, ...      c#                \n",
       "4  I save values of two labels through NSUserDefa...  iphone  objective-c   \n",
       "\n",
       "   Tag3 Tag4 Tag5 OpenStatus                     Tags  \n",
       "0                       open                       c#  \n",
       "1                       open                 html css  \n",
       "2                       open                       j#  \n",
       "3                       open                       c#  \n",
       "4  ios5                 open  iphone objective-c ios5  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "23ab0c79",
   "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>PostId</th>\n",
       "      <th>PostCreationDate</th>\n",
       "      <th>OwnerCreationDate</th>\n",
       "      <th>ReputationAtPostCreation</th>\n",
       "      <th>Title</th>\n",
       "      <th>BodyMarkdown</th>\n",
       "      <th>Tag1</th>\n",
       "      <th>Tag2</th>\n",
       "      <th>Tag3</th>\n",
       "      <th>Tag4</th>\n",
       "      <th>Tag5</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Tags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>07/31/2008 21:42:52</td>\n",
       "      <td>07/31/2008 21:33:24</td>\n",
       "      <td>1</td>\n",
       "      <td>Decimal vs Double?</td>\n",
       "      <td>I'm new to C#, and I want to use a trackbar fo...</td>\n",
       "      <td>c#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>07/31/2008 22:08:08</td>\n",
       "      <td>07/31/2008 21:35:26</td>\n",
       "      <td>1</td>\n",
       "      <td>Percentage width child in absolutely positione...</td>\n",
       "      <td>I've got an absolutely positioned div containi...</td>\n",
       "      <td>html</td>\n",
       "      <td>css</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>html css</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>07/31/2008 23:33:19</td>\n",
       "      <td>07/31/2008 21:35:26</td>\n",
       "      <td>16</td>\n",
       "      <td>Tools for porting J# code to C#</td>\n",
       "      <td>Are there any conversion tools for porting Vis...</td>\n",
       "      <td>j#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>j#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>07/31/2008 23:40:59</td>\n",
       "      <td>07/31/2008 14:22:31</td>\n",
       "      <td>1</td>\n",
       "      <td>How do I calculate someone's age in c#?</td>\n",
       "      <td>Given a DateTime representing their birthday, ...</td>\n",
       "      <td>c#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9610539</td>\n",
       "      <td>03/07/2012 23:07:09</td>\n",
       "      <td>10/31/2011 08:26:49</td>\n",
       "      <td>29</td>\n",
       "      <td>retrieve data from NSUserDefaults to TableView</td>\n",
       "      <td>I save values of two labels through NSUserDefa...</td>\n",
       "      <td>iphone</td>\n",
       "      <td>objective-c</td>\n",
       "      <td>ios5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>iphone objective-c ios5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    PostId     PostCreationDate    OwnerCreationDate  \\\n",
       "0        4  07/31/2008 21:42:52  07/31/2008 21:33:24   \n",
       "1        6  07/31/2008 22:08:08  07/31/2008 21:35:26   \n",
       "2        8  07/31/2008 23:33:19  07/31/2008 21:35:26   \n",
       "3        9  07/31/2008 23:40:59  07/31/2008 14:22:31   \n",
       "4  9610539  03/07/2012 23:07:09  10/31/2011 08:26:49   \n",
       "\n",
       "   ReputationAtPostCreation  \\\n",
       "0                         1   \n",
       "1                         1   \n",
       "2                        16   \n",
       "3                         1   \n",
       "4                        29   \n",
       "\n",
       "                                               Title  \\\n",
       "0                                 Decimal vs Double?   \n",
       "1  Percentage width child in absolutely positione...   \n",
       "2                    Tools for porting J# code to C#   \n",
       "3            How do I calculate someone's age in c#?   \n",
       "4     retrieve data from NSUserDefaults to TableView   \n",
       "\n",
       "                                        BodyMarkdown    Tag1         Tag2  \\\n",
       "0  I'm new to C#, and I want to use a trackbar fo...      c#                \n",
       "1  I've got an absolutely positioned div containi...    html          css   \n",
       "2  Are there any conversion tools for porting Vis...      j#                \n",
       "3  Given a DateTime representing their birthday, ...      c#                \n",
       "4  I save values of two labels through NSUserDefa...  iphone  objective-c   \n",
       "\n",
       "   Tag3 Tag4 Tag5 OpenStatus                     Tags  \n",
       "0                       open                       c#  \n",
       "1                       open                 html css  \n",
       "2                       open                       j#  \n",
       "3                       open                       c#  \n",
       "4  ios5                 open  iphone objective-c ios5  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "64e06657",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df['markdown'] = df['markdown'].apply(lambda x: re.sub(r'[^a-zA-Z0-9\\s.]', '', x))\n",
    "# df['markdown'] = df['markdown'].apply(lambda x: re.sub(r'[<>!/-]', '', x))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a24cf7dc",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "      <td>1</td>\n",
       "      <td>Percentage width child in absolutely positione...</td>\n",
       "      <td>I've got an absolutely positioned div containi...</td>\n",
       "      <td>html</td>\n",
       "      <td>css</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>html css</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>07/31/2008 23:33:19</td>\n",
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       "      <td>Tools for porting J# code to C#</td>\n",
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       "      <td>j#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>j#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>07/31/2008 23:40:59</td>\n",
       "      <td>07/31/2008 14:22:31</td>\n",
       "      <td>1</td>\n",
       "      <td>How do I calculate someone's age in c#?</td>\n",
       "      <td>Given a DateTime representing their birthday, ...</td>\n",
       "      <td>c#</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9610539</td>\n",
       "      <td>03/07/2012 23:07:09</td>\n",
       "      <td>10/31/2011 08:26:49</td>\n",
       "      <td>29</td>\n",
       "      <td>retrieve data from NSUserDefaults to TableView</td>\n",
       "      <td>I save values of two labels through NSUserDefa...</td>\n",
       "      <td>iphone</td>\n",
       "      <td>objective-c</td>\n",
       "      <td>ios5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>open</td>\n",
       "      <td>iphone objective-c ios5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    PostId     PostCreationDate    OwnerCreationDate  \\\n",
       "0        4  07/31/2008 21:42:52  07/31/2008 21:33:24   \n",
       "1        6  07/31/2008 22:08:08  07/31/2008 21:35:26   \n",
       "2        8  07/31/2008 23:33:19  07/31/2008 21:35:26   \n",
       "3        9  07/31/2008 23:40:59  07/31/2008 14:22:31   \n",
       "4  9610539  03/07/2012 23:07:09  10/31/2011 08:26:49   \n",
       "\n",
       "   ReputationAtPostCreation  \\\n",
       "0                         1   \n",
       "1                         1   \n",
       "2                        16   \n",
       "3                         1   \n",
       "4                        29   \n",
       "\n",
       "                                               Title  \\\n",
       "0                                 Decimal vs Double?   \n",
       "1  Percentage width child in absolutely positione...   \n",
       "2                    Tools for porting J# code to C#   \n",
       "3            How do I calculate someone's age in c#?   \n",
       "4     retrieve data from NSUserDefaults to TableView   \n",
       "\n",
       "                                        BodyMarkdown    Tag1         Tag2  \\\n",
       "0  I'm new to C#, and I want to use a trackbar fo...      c#                \n",
       "1  I've got an absolutely positioned div containi...    html          css   \n",
       "2  Are there any conversion tools for porting Vis...      j#                \n",
       "3  Given a DateTime representing their birthday, ...      c#                \n",
       "4  I save values of two labels through NSUserDefa...  iphone  objective-c   \n",
       "\n",
       "   Tag3 Tag4 Tag5 OpenStatus                     Tags  \n",
       "0                       open                       c#  \n",
       "1                       open                 html css  \n",
       "2                       open                       j#  \n",
       "3                       open                       c#  \n",
       "4  ios5                 open  iphone objective-c ios5  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ebd4e1e",
   "metadata": {},
   "source": [
    "## Visulization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd5407bc",
   "metadata": {},
   "source": [
    "#### Question Counts by Closing Reasons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e5d0097c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Sample data\n",
    "closing_reasons = ['not constructive', 'not a real question', 'off topic', 'too localized']\n",
    "#count for each closing reasons in dataset\n",
    "question_counts = [df[df['OpenStatus'] == 'not constructive'].shape[0], df[df['OpenStatus'] == 'not a real question'].shape[0], df[df['OpenStatus'] == 'off topic'].shape[0], df[df['OpenStatus'] == 'too localized'].shape[0]]\n",
    "\n",
    "# Create a bar plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(y=closing_reasons, x=question_counts,  palette='viridis', orient='h',hue=closing_reasons)\n",
    "plt.xlabel('Question Count')\n",
    "\n",
    "plt.ylabel('Closing Reason')\n",
    "plt.title('Question Counts by Closing Reasons')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cf81a15",
   "metadata": {},
   "source": [
    "#### Top 20 Tags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "47569b94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Assuming 'df' is your original DataFrame\n",
    "top_tags = df['Tags'].value_counts().head(20)\n",
    "\n",
    "# Plotting the top 20 tags\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.barplot(y=top_tags.index,x= top_tags.values, palette='viridis',hue=top_tags.index)\n",
    "plt.title('Top 20 Tags')\n",
    "plt.xlabel('Tags')\n",
    "plt.ylabel('Count')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d77ec84a",
   "metadata": {},
   "source": [
    "#### Top Tags for Closed Questions & Open Questions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8caacb5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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T/htjrH1apkwZZc2aVePHj1dUVJTVZvLkyYnC0J3kyJFDbdq00bJly/Tll18mWj9+/HitWLFCHTp0UObMmSXdGm6ZJUuWRKcZGDdunNN1d3d3NWrUSHPmzNEff/yR6L4TDnW9/Tni5eWlQoUKyRij6OhoSbfCmJQ45N1JnTp1tHnzZm3YsMFadu3aNU2cOFF58uS573O33cv/DAAeBsMIAcBm9evX1/PPP68PP/xQR48eVfHixfXrr79qwYIF6tKli/Lly+fUvkiRIqpZs6bT1O+SHmrYVYECBZQvXz51795dJ0+elK+vr+bMmWMdu5LQkCFD1KBBAz333HNq3bq1Ll68qDFjxqhIkSJOAaxt27a6cOGCXnjhBeXIkUPHjh3T6NGjVaJECesYmvvRvn17TZgwQa1atdLWrVuVJ08ezZ49W+vWrdPIkSMfeIIL6dZQsb/++kudO3fW3LlzVa9ePWXMmFHHjx/XrFmztH//fjVt2vSOt82aNat69eql/v37q1atWnrxxRd14MABjRs3TmXLlrVOXr1ixQqFhoaqcePGeuqppxQTE6Nvv/3WCifSrZ6tQYMGqVevXjp69KheeuklZciQQUeOHNG8efPUvn17de/eXZ6enho0aJA6dOigF154Qa+++qqOHDmisLCwezpmS5KGDx+u/fv36+2339aSJUtUq1YtSbcmg1iwYIFeeOEFffrpp063adu2rT7++GO1bdtWZcqU0Zo1a3Tw4MFE9/3xxx9r5cqVKl++vNq1a6dChQrpwoUL2rZtm5YtW6YLFy5IkmrUqKHAwEA999xzCggI0L59+zRmzBjVrVvX+n/GTwbz4YcfqmnTpvL09FT9+vWtEJbQ+++/rxkzZqh27drq3LmzMmXKpClTpujIkSOaM2dOouP9/s29/M8A4KG4ZA5EAEjBbp/63Zhb01N37drVBAUFGU9PT5M/f37z6aefmri4OKd2kkzHjh3Nd999Z/Lnz2+8vb1NyZIlnaZwvxd3mvp97969JiQkxKRPn95kyZLFtGvXzuzcufOO033PnDnTFChQwHh7e5siRYqYH3/80TRq1MgUKFDAajN79mxTo0YNky1bNuPl5WVy5cplOnToYE6fPv2v9d1p6ndjjDlz5oxp3bq1yZIli/Hy8jJFixZNVFv8FOWffvrpfe2TmJgY8/XXX5tKlSoZPz8/4+npaXLnzm1at27tNEX67VO/xxszZowpUKCA8fT0NAEBAeatt94yFy9etNYfPnzYvPHGGyZfvnwmTZo0JlOmTOb55583y5YtS1TLnDlzTMWKFU26dOlMunTpTIECBUzHjh3NgQMHnNqNGzfOBAcHG29vb1OmTBmzZs0aU6VKlX+d+j1eVFSUGTlypCldurRJmzatdWqBli1bOk1jH+/69eumTZs2xs/Pz2TIkME0adLEnD17NtHU78bc+l917NjR5MyZ03h6eprAwEBTrVo1M3HiRKvNhAkTTOXKlU3mzJmNt7e3yZcvn+nRo4e5fPmy030NHDjQPPHEE8bNzc1p398+9bsxxvz111/mlVdeMf7+/iZNmjSmXLlyZtGiRU5t4qd+v31K99unt7+f/xkAPAiHMbeNYwAAuIzD4VDHjh0TDTlMCkqUKKGsWbM+sqne8fhFRESoSpUq+uuvv7RmzRrbJwwBgNSOY7YAAE6io6MTHceyatUq7dy5U1WrVnVNUXgkfH19tXjxYmXJkkV16tRJNPkFAODR4pgtAICTkydPKiQkRK+99pqCgoK0f/9+jR8/XoGBgXrzzTddXR4eUmBgoHVSXwCAvQhbAAAnGTNmVOnSpfX111/r3LlzSpcunerWrauPP/7YmrkOAAD8O47ZAgAAAAAbcMwWAAAAANiAsAUAAAAANuCYrXsQFxenU6dOKUOGDHI4HK4uBwAAAICLGGN05coVBQUF/evJ1Alb9+DUqVPKmTOnq8sAAAAAkEScOHFCOXLk+Mc2hK17kCFDBkm3dqivr6+LqwEAAADgKhEREcqZM6eVEf4JYesexA8d9PX1JWwBAAAAuKfDi5ggAwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABh6uLiClOLH7eVeX4BI5i650dQkAAABAkuTSnq01a9aofv36CgoKksPh0Pz586110dHR6tmzp4oWLap06dIpKChILVq00KlTp5zu48KFC2revLl8fX3l7++vNm3a6OrVq05tdu3apUqVKilNmjTKmTOnhg0b9jg2DwAAAEAq5tKwde3aNRUvXlxjx45NtO769evatm2b+vTpo23btmnu3Lk6cOCAXnzxRad2zZs31549e7R06VItWrRIa9asUfv27a31ERERqlGjhnLnzq2tW7fq008/Vb9+/TRx4kTbtw8AAABA6uUwxhhXFyFJDodD8+bN00svvXTXNlu2bFG5cuV07Ngx5cqVS/v27VOhQoW0ZcsWlSlTRpK0ZMkS1alTR3///beCgoL05Zdf6sMPP1R4eLi8vLwkSe+//77mz5+v/fv331NtERER8vPz0+XLl+Xr63vHNgwjBAAAAFK+e8kG8ZLVBBmXL1+Ww+GQv7+/JGnDhg3y9/e3gpYkhYSEyM3NTZs2bbLaVK5c2QpaklSzZk0dOHBAFy9evOPjREZGKiIiwukCAAAAAPcj2YStmzdvqmfPnvrPf/5jJcjw8HBly5bNqZ2Hh4cyZcqk8PBwq01AQIBTm/jr8W1uN3ToUPn5+VmXnDlzPurNAQAAAJDCJYuwFR0drSZNmsgYoy+//NL2x+vVq5cuX75sXU6cOGH7YwIAAABIWZL81O/xQevYsWNasWKF07jIwMBAnT171ql9TEyMLly4oMDAQKvNmTNnnNrEX49vcztvb295e3s/ys0AAAAAkMok6Z6t+KB16NAhLVu2TJkzZ3ZaX6FCBV26dElbt261lq1YsUJxcXEqX7681WbNmjWKjo622ixdulRPP/20MmbM+Hg2BAAAAECq49KwdfXqVe3YsUM7duyQJB05ckQ7duzQ8ePHFR0drVdeeUW///67pk2bptjYWIWHhys8PFxRUVGSpIIFC6pWrVpq166dNm/erHXr1ik0NFRNmzZVUFCQJKlZs2by8vJSmzZttGfPHn3//ff64osv1K1bN1dtNgAAAIBUwKVTv69atUrPP594yvSWLVuqX79+Cg4OvuPtVq5cqapVq0q6dVLj0NBQLVy4UG5ubmrUqJFGjRql9OnTW+137dqljh07asuWLcqSJYs6deqknj173nOdTP1+d0z9DgAAgNTkfqZ+TzLn2UrKCFt3R9gCAABAapJiz7MFAAAAAMkFYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGzg4eoCkLqt2FzW1SW4xAvltri6BAAAANiMni0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbcJ4tIJlZsKmSq0twiQbl17q6BAAAgPtCzxYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADZwadhas2aN6tevr6CgIDkcDs2fP99pvTFGffv2Vfbs2eXj46OQkBAdOnTIqc2FCxfUvHlz+fr6yt/fX23atNHVq1ed2uzatUuVKlVSmjRplDNnTg0bNszuTQMAAACQyrk0bF27dk3FixfX2LFj77h+2LBhGjVqlMaPH69NmzYpXbp0qlmzpm7evGm1ad68ufbs2aOlS5dq0aJFWrNmjdq3b2+tj4iIUI0aNZQ7d25t3bpVn376qfr166eJEyfavn0AAAAAUi8PVz547dq1Vbt27TuuM8Zo5MiR6t27txo0aCBJmjp1qgICAjR//nw1bdpU+/bt05IlS7RlyxaVKVNGkjR69GjVqVNHn332mYKCgjRt2jRFRUVp0qRJ8vLyUuHChbVjxw4NHz7cKZQBAAAAwKOUZI/ZOnLkiMLDwxUSEmIt8/PzU/ny5bVhwwZJ0oYNG+Tv728FLUkKCQmRm5ubNm3aZLWpXLmyvLy8rDY1a9bUgQMHdPHixTs+dmRkpCIiIpwuAAAAAHA/kmzYCg8PlyQFBAQ4LQ8ICLDWhYeHK1u2bE7rPTw8lClTJqc2d7qPhI9xu6FDh8rPz8+65MyZ8+E3CAAAAECqkmTDliv16tVLly9fti4nTpxwdUkAAAAAkpkkG7YCAwMlSWfOnHFafubMGWtdYGCgzp4967Q+JiZGFy5ccGpzp/tI+Bi38/b2lq+vr9MFAAAAAO5Hkg1bwcHBCgwM1PLly61lERER2rRpkypUqCBJqlChgi5duqStW7dabVasWKG4uDiVL1/earNmzRpFR0dbbZYuXaqnn35aGTNmfExbAwAAACC1cWnYunr1qnbs2KEdO3ZIujUpxo4dO3T8+HE5HA516dJFgwYN0o8//qjdu3erRYsWCgoK0ksvvSRJKliwoGrVqqV27dpp8+bNWrdunUJDQ9W0aVMFBQVJkpo1ayYvLy+1adNGe/bs0ffff68vvvhC3bp1c9FWAwAAAEgNXDr1+++//67nn3/euh4fgFq2bKnJkyfrvffe07Vr19S+fXtdunRJFStW1JIlS5QmTRrrNtOmTVNoaKiqVasmNzc3NWrUSKNGjbLW+/n56ddff1XHjh1VunRpZcmSRX379mXadwAAAAC2chhjjKuLSOoiIiLk5+eny5cv3/X4rRO7n7/j8pQuZ9GVD3X7FZvLPqJKkpcXym154Nsu2FTpEVaSfDQov9bVJQAAANxTNoiXZI/ZAgAAAIDkjLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2MDD1QUAwOPwzDe9XV2CS2xsM8jVJQAAkGrRswUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2CBJh63Y2Fj16dNHwcHB8vHxUb58+TRw4EAZY6w2xhj17dtX2bNnl4+Pj0JCQnTo0CGn+7lw4YKaN28uX19f+fv7q02bNrp69erj3hwAAAAAqUiSDluffPKJvvzyS40ZM0b79u3TJ598omHDhmn06NFWm2HDhmnUqFEaP368Nm3apHTp0qlmzZq6efOm1aZ58+bas2ePli5dqkWLFmnNmjVq3769KzYJAAAAQCrh4eoC/sn69evVoEED1a1bV5KUJ08ezZgxQ5s3b5Z0q1dr5MiR6t27txo0aCBJmjp1qgICAjR//nw1bdpU+/bt05IlS7RlyxaVKVNGkjR69GjVqVNHn332mYKCghI9bmRkpCIjI63rERERdm8qAAAAgBQmSfdsPfvss1q+fLkOHjwoSdq5c6d+++031a5dW5J05MgRhYeHKyQkxLqNn5+fypcvrw0bNkiSNmzYIH9/fytoSVJISIjc3Ny0adOmOz7u0KFD5efnZ11y5sxp1yYCAAAASKGSdM/W+++/r4iICBUoUEDu7u6KjY3V4MGD1bx5c0lSeHi4JCkgIMDpdgEBAda68PBwZcuWzWm9h4eHMmXKZLW5Xa9evdStWzfrekREBIELAAAAwH1J0mHrhx9+0LRp0zR9+nQVLlxYO3bsUJcuXRQUFKSWLVva9rje3t7y9va27f4BAAAApHxJOmz16NFD77//vpo2bSpJKlq0qI4dO6ahQ4eqZcuWCgwMlCSdOXNG2bNnt2535swZlShRQpIUGBios2fPOt1vTEyMLly4YN0eAAAAAB61JH3M1vXr1+Xm5lyiu7u74uLiJEnBwcEKDAzU8uXLrfURERHatGmTKlSoIEmqUKGCLl26pK1bt1ptVqxYobi4OJUvX/4xbAUAAACA1ChJ92zVr19fgwcPVq5cuVS4cGFt375dw4cP1xtvvCFJcjgc6tKliwYNGqT8+fMrODhYffr0UVBQkF566SVJUsGCBVWrVi21a9dO48ePV3R0tEJDQ9W0adM7zkQIAAAAAI9Ckg5bo0ePVp8+ffT222/r7NmzCgoKUocOHdS3b1+rzXvvvadr166pffv2unTpkipWrKglS5YoTZo0Vptp06YpNDRU1apVk5ubmxo1aqRRo0a5YpMAAAAApBJJOmxlyJBBI0eO1MiRI+/axuFwaMCAARowYMBd22TKlEnTp0+3oUIAAAAAuLMkfcwWAAAAACRXhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGzwQGErb968+u9//5to+aVLl5Q3b96HLgoAAAAAkrsHCltHjx5VbGxsouWRkZE6efLkQxcFAAAAAMmdx/00/vHHH62/f/nlF/n5+VnXY2NjtXz5cuXJk+eRFQcAAAAAydV9ha2XXnpJkuRwONSyZUundZ6ensqTJ48+//zzR1YcAAAAACRX9xW24uLiJEnBwcHasmWLsmTJYktRAAAAAJDc3VfYinfkyJFHXQcAAAAApCgPFLYkafny5Vq+fLnOnj1r9XjFmzRp0kMXBgAAAADJ2QOFrf79+2vAgAEqU6aMsmfPLofD8ajrAgAAAIBk7YHC1vjx4zV58mS9/vrrj7oeAAAAAEgRHug8W1FRUXr22WcfdS0AAAAAkGI8UNhq27atpk+f/qhrAQAAAIAU44GGEd68eVMTJ07UsmXLVKxYMXl6ejqtHz58+CMpDgAAAACSqwcKW7t27VKJEiUkSX/88YfTOibLAAAAAIAHDFsrV6581HUAAAAAQIryQMdsAQAAAAD+2QP1bD3//PP/OFxwxYoVD1wQAAAAAKQEDxS24o/XihcdHa0dO3bojz/+UMuWLR9FXQAAAACQrD1Q2BoxYsQdl/fr109Xr159qIIAAAAAICV4pMdsvfbaa5o0adKjvEsAAAAASJYeadjasGGD0qRJ8yjvEgAAAACSpQcaRtiwYUOn68YYnT59Wr///rv69OnzSAoDAAAAgOTsgcKWn5+f03U3Nzc9/fTTGjBggGrUqPFICgMAAACA5OyBwlZYWNijrgMAAAAAUpQHClvxtm7dqn379kmSChcurJIlSz6SogAAAAAguXugsHX27Fk1bdpUq1atkr+/vyTp0qVLev755zVz5kxlzZr1UdYIAAAAAMnOA81G2KlTJ125ckV79uzRhQsXdOHCBf3xxx+KiIhQ586dH3WNAAAAAJDsPFDYWrJkicaNG6eCBQtaywoVKqSxY8dq8eLFj6w4STp58qRee+01Zc6cWT4+PipatKh+//13a70xRn379lX27Nnl4+OjkJAQHTp0yOk+Lly4oObNm8vX11f+/v5q06YNJ18GAAAAYKsHCltxcXHy9PRMtNzT01NxcXEPXVS8ixcv6rnnnpOnp6cWL16svXv36vPPP1fGjBmtNsOGDdOoUaM0fvx4bdq0SenSpVPNmjV18+ZNq03z5s21Z88eLV26VIsWLdKaNWvUvn37R1YnAAAAANzugY7ZeuGFF/TOO+9oxowZCgoKknSrB6pr166qVq3aIyvuk08+Uc6cOZ1mPwwODrb+NsZo5MiR6t27txo0aCBJmjp1qgICAjR//nw1bdpU+/bt05IlS7RlyxaVKVNGkjR69GjVqVNHn332mVU/AAAAADxKD9SzNWbMGEVERChPnjzKly+f8uXLp+DgYEVERGj06NGPrLgff/xRZcqUUePGjZUtWzaVLFlSX331lbX+yJEjCg8PV0hIiLXMz89P5cuX14YNGyRJGzZskL+/vxW0JCkkJERubm7atGnTHR83MjJSERERThcAAAAAuB8P1LOVM2dObdu2TcuWLdP+/fslSQULFnQKPY/C4cOH9eWXX6pbt2764IMPtGXLFnXu3FleXl5q2bKlwsPDJUkBAQFOtwsICLDWhYeHK1u2bE7rPTw8lClTJqvN7YYOHar+/fs/0m0BAAAAkLrcV8/WihUrVKhQIUVERMjhcKh69erq1KmTOnXqpLJly6pw4cJau3btIysuLi5OpUqV0pAhQ1SyZEm1b99e7dq10/jx4x/ZY9xJr169dPnyZety4sQJWx8PAAAAQMpzX2Fr5MiRateunXx9fROt8/PzU4cOHTR8+PBHVlz27NlVqFAhp2UFCxbU8ePHJUmBgYGSpDNnzji1OXPmjLUuMDBQZ8+edVofExOjCxcuWG1u5+3tLV9fX6cLAAAAANyP+wpbO3fuVK1ate66vkaNGtq6detDFxXvueee04EDB5yWHTx4ULlz55Z0a7KMwMBALV++3FofERGhTZs2qUKFCpKkChUq6NKlS051rVixQnFxcSpfvvwjqxUAAAAAErqvY7bOnDlzxynfrTvz8NC5c+ceuqh4Xbt21bPPPqshQ4aoSZMm2rx5syZOnKiJEydKkhwOh7p06aJBgwYpf/78Cg4OVp8+fRQUFKSXXnpJ0q2esFq1alnDD6OjoxUaGqqmTZsyEyEAAAAA29xX2HriiSf0xx9/6Mknn7zj+l27dil79uyPpDBJKlu2rObNm6devXppwIABCg4O1siRI9W8eXOrzXvvvadr166pffv2unTpkipWrKglS5YoTZo0Vptp06YpNDRU1apVk5ubmxo1aqRRo0Y9sjoBAAAA4Hb3Fbbq1KmjPn36qFatWk5hRpJu3Lihjz76SPXq1XukBdarV+8f79PhcGjAgAEaMGDAXdtkypRJ06dPf6R1AQAAAMA/ua+w1bt3b82dO1dPPfWUQkND9fTTT0uS9u/fr7Fjxyo2NlYffvihLYUCAAAAQHJyX2ErICBA69ev11tvvaVevXrJGCPpVu9SzZo1NXbs2ETnvAIAJE8hzQa6ugSXWDa9j6tLAACkEPd9UuPcuXPr559/1sWLF/Xnn3/KGKP8+fMrY8aMdtQHAAAAAMnSfYeteBkzZlTZsmUfZS0AAAAAkGLc13m2AAAAAAD3hrAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANvBwdQEAAKQktV/u7+oSXGLxvI9cXQIAJDn0bAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADD1cXAAAAUre6Zbu6ugSX+GnLCFeXAMBmhC0AAIBkqG6ZLq4uwSV++n2kq0sA7hnDCAEAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwQbIKWx9//LEcDoe6dOliLbt586Y6duyozJkzK3369GrUqJHOnDnjdLvjx4+rbt26Sps2rbJly6YePXooJibmMVcPAAAAIDVJNmFry5YtmjBhgooVK+a0vGvXrlq4cKFmzZql1atX69SpU2rYsKG1PjY2VnXr1lVUVJTWr1+vKVOmaPLkyerbt+/j3gQAAAAAqUiyCFtXr15V8+bN9dVXXyljxozW8suXL+ubb77R8OHD9cILL6h06dIKCwvT+vXrtXHjRknSr7/+qr179+q7775TiRIlVLt2bQ0cOFBjx45VVFSUqzYJAAAAQAqXLMJWx44dVbduXYWEhDgt37p1q6Kjo52WFyhQQLly5dKGDRskSRs2bFDRokUVEBBgtalZs6YiIiK0Z8+eOz5eZGSkIiIinC4AAAAAcD88XF3Av5k5c6a2bdumLVu2JFoXHh4uLy8v+fv7Oy0PCAhQeHi41SZh0IpfH7/uToYOHar+/fs/guoBAAAApFZJumfrxIkTeueddzRt2jSlSZPmsT1ur169dPnyZety4sSJx/bYAAAAAFKGJB22tm7dqrNnz6pUqVLy8PCQh4eHVq9erVGjRsnDw0MBAQGKiorSpUuXnG535swZBQYGSpICAwMTzU4Yfz2+ze28vb3l6+vrdAEAAACA+5Gkw1a1atW0e/du7dixw7qUKVNGzZs3t/729PTU8uXLrdscOHBAx48fV4UKFSRJFSpU0O7du3X27FmrzdKlS+Xr66tChQo99m0CAAAAkDok6WO2MmTIoCJFijgtS5cunTJnzmwtb9Omjbp166ZMmTLJ19dXnTp1UoUKFfTMM89IkmrUqKFChQrp9ddf17BhwxQeHq7evXurY8eO8vb2fuzbBAAAACB1SNJh616MGDFCbm5uatSokSIjI1WzZk2NGzfOWu/u7q5FixbprbfeUoUKFZQuXTq1bNlSAwYMcGHVAAAAAFK6ZBe2Vq1a5XQ9TZo0Gjt2rMaOHXvX2+TOnVs///yzzZUBAAAAwP8k6WO2AAAAACC5ImwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAAAAAYAPCFgAAAADYgLAFAAAAADYgbAEAAACADQhbAAAAAGADwhYAAAAA2MDD1QUAAAAAj0MV33quLsElVkcscnUJqRZhCwAAAMBdVclQ19UluMTqKz899H0wjBAAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALBBkg5bQ4cOVdmyZZUhQwZly5ZNL730kg4cOODU5ubNm+rYsaMyZ86s9OnTq1GjRjpz5oxTm+PHj6tu3bpKmzatsmXLph49eigmJuZxbgoAAACAVCZJh63Vq1erY8eO2rhxo5YuXaro6GjVqFFD165ds9p07dpVCxcu1KxZs7R69WqdOnVKDRs2tNbHxsaqbt26ioqK0vr16zVlyhRNnjxZffv2dcUmAQAAAEglPFxdwD9ZsmSJ0/XJkycrW7Zs2rp1qypXrqzLly/rm2++0fTp0/XCCy9IksLCwlSwYEFt3LhRzzzzjH799Vft3btXy5YtU0BAgEqUKKGBAweqZ8+e6tevn7y8vBI9bmRkpCIjI63rERER9m4oAAAAgBQnSfds3e7y5cuSpEyZMkmStm7dqujoaIWEhFhtChQooFy5cmnDhg2SpA0bNqho0aIKCAiw2tSsWVMRERHas2fPHR9n6NCh8vPzsy45c+a0a5MAAAAApFDJJmzFxcWpS5cueu6551SkSBFJUnh4uLy8vOTv7+/UNiAgQOHh4VabhEErfn38ujvp1auXLl++bF1OnDjxiLcGAAAAQEqXpIcRJtSxY0f98ccf+u2332x/LG9vb3l7e9v+OAAAAABSrmTRsxUaGqpFixZp5cqVypEjh7U8MDBQUVFRunTpklP7M2fOKDAw0Gpz++yE8dfj2wAAAADAo5akw5YxRqGhoZo3b55WrFih4OBgp/WlS5eWp6enli9fbi07cOCAjh8/rgoVKkiSKlSooN27d+vs2bNWm6VLl8rX11eFChV6PBsCAAAAINVJ0sMIO3bsqOnTp2vBggXKkCGDdYyVn5+ffHx85OfnpzZt2qhbt27KlCmTfH191alTJ1WoUEHPPPOMJKlGjRoqVKiQXn/9dQ0bNkzh4eHq3bu3OnbsyFBBAAAAALZJ0mHryy+/lCRVrVrVaXlYWJhatWolSRoxYoTc3NzUqFEjRUZGqmbNmho3bpzV1t3dXYsWLdJbb72lChUqKF26dGrZsqUGDBjwuDYDAAAAQCqUpMOWMeZf26RJk0Zjx47V2LFj79omd+7c+vnnnx9laQAAAADwj5L0MVsAAAAAkFwRtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABsQtgAAAADABoQtAAAAALABYQsAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsAFhCwAAAABsQNgCAAAAABukqrA1duxY5cmTR2nSpFH58uW1efNmV5cEAAAAIIVKNWHr+++/V7du3fTRRx9p27ZtKl68uGrWrKmzZ8+6ujQAAAAAKVCqCVvDhw9Xu3bt1Lp1axUqVEjjx49X2rRpNWnSJFeXBgAAACAF8nB1AY9DVFSUtm7dql69elnL3NzcFBISog0bNiRqHxkZqcjISOv65cuXJUkRERF3fYwrV2MeYcXJxz/tk3tx7WrsI6okeXmY/Xb9Gs+1BxFzI/LfG6VAD7PfYqJvPsJKko+Hfq6x3+5bdCyvzwfBfrt/MSb6EVaSfDz0+xr77Y7LjTH/eh8Ocy+tkrlTp07piSee0Pr161WhQgVr+XvvvafVq1dr06ZNTu379eun/v37P+4yAQAAACQTJ06cUI4cOf6xTaro2bpfvXr1Urdu3azrcXFxunDhgjJnziyHw+HCyhKLiIhQzpw5deLECfn6+rq6nGSD/Xb/2GcPhv12/9hnD4b9dv/YZw+G/Xb/2GcPJqnuN2OMrly5oqCgoH9tmyrCVpYsWeTu7q4zZ844LT9z5owCAwMTtff29pa3t7fTMn9/fztLfGi+vr5J6kmYXLDf7h/77MGw3+4f++zBsN/uH/vswbDf7h/77MEkxf3m5+d3T+1SxQQZXl5eKl26tJYvX24ti4uL0/Lly52GFQIAAADAo5IqerYkqVu3bmrZsqXKlCmjcuXKaeTIkbp27Zpat27t6tIAAAAApECpJmy9+uqrOnfunPr27avw8HCVKFFCS5YsUUBAgKtLeyje3t766KOPEg17xD9jv90/9tmDYb/dP/bZg2G/3T/22YNhv90/9tmDSQn7LVXMRggAAAAAj1uqOGYLAAAAAB43whYAAAAA2ICwBQAAAAA2IGwBAAAAgA0IW8A92r59u6tLAADb3T5vFvNoAUgJWrRooV9//fWxPy5hC7gHixYtUrNmzfTll1+6uhQAsM3ly5flcDgkST/++KMkWddTouvXr7u6BACPgTFGZ86cUbNmzbR69erH+tiErRQkLi4u0TJ+kXw08uXLp7Jly2ratGkaP368q8tBMhIVFSXpzq9PIClZsGCBGjRooIsXL6pr165q0aKFTp065eqybLNs2TL16dOHUQtAKuBwOPTzzz+rZs2aevnllx9r4CJspRBxcXFyc7v17zxw4ID+/PNPnT59Wg6Hg8D1kGJjY1WwYEENGTJEhQsX1vfff69Jkya5uiyX4jl1b86dO6dmzZpp//791usTSKpKliyp33//XeXKlVNYWJjWrFmjoKCgFPl6nzt3rl588UVlzJiRH0JsxL69f+yzRy9+n7q7u+vbb79V9erVH2vg4tM/BTDGWF/k+vfvr5deekm1a9dWqVKl9Ouvv6boISCPQ/z+u3btmrJmzapjx45pyJAhmjJliosrc424uDhrn8TExFg9N0gsOjpacXFx2r9/v27evKkPPvggRfcU2C3+AzMlfvl3tZiYGOXKlUstWrTQX3/9pcKFCytLliwyxqS4H+0OHjyo7t276/PPP1fv3r1VunRpV5eUIiX8bjJz5kwNGDBAc+bM0fnz511cWdKV8IfzSZMm6aOPPlLLli21ceNGXbhwwcXVJV/x+/TKlStyc3PTzJkzVaNGjccWuAhbKUD8F99+/frpyy+/1Oeff65Vq1apbNmyeuWVV/Ttt9+6uMLkJ+EXCzc3N82bN0+lS5dWVFSUGjRoIDc3N40aNUoTJ050YZWPX8IPzyFDhqhhw4YqW7asRo0apW3btrm4uqTj1KlTGjRokLJkyaJq1app+PDhKlGihDZt2qRMmTK5urxkZ+HChYqNjZWbm5siIyPlcDh0+fJlnTx50tWlJXvx73UeHh6SpCpVqujnn3/WwYMH1apVKx06dEhS4uO2knP4On78uDw9PVWnTh1rWXLenqQoPqRL0ocffqh27dpp6dKlatKkiXr06KHNmze7uMKkKf7z9b333tOHH36oCxcu6OLFi2rUqJHGjBmjyMhIF1eYvCTsJfz444/19ttv69ixY3I4HJoxY8bjC1wGKcLWrVtNlSpVzC+//GKMMWbBggUmY8aMJiQkxHh4eJhvv/3WxMXFubjK5CEqKsrp+n//+19Trlw5M3DgQGvZvn37TPPmzU2JEiXM5MmTH3eJLhEbG2v9PWjQIJM5c2bz4Ycfmvbt25unnnrK1K9f3yxdutSFFSYdc+bMMTVq1DBnzpwxxhiTNWtWkzt3bmv9X3/95aLKkp8VK1aYqlWrmoEDB5qbN28aY4z5888/Tb58+cyPP/7o4uqSt4Sv6YsXL5qYmBjr+qFDh0zmzJlN9erVzZ9//mktnzRp0mOt0Q7z5s0zOXPmNEePHjXGOO+HVatWma1bt7qqtBRnx44dpm7dumbDhg3GGGOWLVtmChcubJo1a2Y2btzo4uqSph9//NHkypXL7NixwxhjzJo1a4zD4TCzZs1ycWXJS8LX9R9//GHeffdd43A4TNeuXc3ff/9tjDEmLi7OvPrqqyZz5sxm9erVttVCz1YyZW77FS5Tpkxq2LChqlevrpUrV6pDhw4aMGCAli5dqipVqqhTp0766quvXFRt8jF8+HC1bt1axhhrH6dLl07Xrl2Tu7u71a5AgQLq06ePLl26pI8//lhjxoxxVcmPTfwvbkePHtWZM2c0bdo0DRo0SBMmTNDYsWMVFxenCRMm6MSJEy6u1PWqVaumTJkyqUuXLqpQoYKCg4NVqFAhrVy5Uu3bt9eoUaN08+ZNV5eZLJQrV05NmjTRjh07NH78eB0+fFghISGqVKmS6tWr5+ryki2ToJd60KBBaty4scqUKaP3339fW7Zs0ZNPPqlNmzZp+/bt6tChg2bOnKl69eppyJAhyf6YkuLFi+v8+fPWyISEx1POnz9fCxYsUHR0tKvKSzHGjh2rfv36yd3dXcWLF5d0671xxIgR2rVrl0aNGqVNmza5uMqk5+LFiypSpIiKFy+u6dOnq27duho7dqxeeeUVXbt2TXv37k32r8HHIf513b17d9WvX1+xsbGqXr26Ro0apX79+unUqVNOPVxVq1a1b7Ic22IcHosRI0aYTZs2GWOMOXfunDHGmNdff928+eab1q+ULVu2NAULFjSVKlWid+sfxMTEmG+//dYcOHDAGPO/X0UuXrxo6tSpY958801z/fp1p334xhtvmFy5cpkXX3zRXLhwwSV1P04LFy40DofDZM6c2SxevNhp3ZIlS0zGjBnNihUrXFRd0hAZGWmMMeb06dPGy8vLlCxZ0hhjTP/+/c2TTz5p8ufPb/bs2ePKEpON+Nfa5cuXzXfffWdq1apl/Pz8TPv27Z3W4/4k/MV3xIgRxs/PzwwfPty0b9/ehISEmHz58plVq1YZY4w5fPiwKV68uClXrpypXLmy1fOf3Pf9N998Yzw9PU2PHj3M7t27zd69e817771n/P39zb59+1xdXorwzTffGF9fX5MzZ06rlybe0qVLTfHixU2tWrV4P/x/8a/LYcOGmRo1aph169aZDBkymLFjx1ptpkyZYt59911z+fJlV5WZrKxatcr4+/ub9evXW8vmz59v3N3dTbt27cyJEyeMMbfez/r06ePUu/8oEbaSuXLlypnq1atb169evWpKlixp+vXrZ4wxJjo62rz88stmw4YN1odjcv+QfBzWrVtnXn75ZXP16lVjjDEzZswwDofDDB8+3Fy7ds1q9+abb5qPP/7YGi6W0sXGxpouXboYh8NhRowYYWJjY52eT0WLFjV9+/Z1YYVJw40bN0z58uXN008/bV566SUTHR1tmjVrZhwOhxk8eLCry0tW4sPr3r17jb+/v8mbN68ZMGCA9cXErg/H1GD37t2mRYsWZs6cOday33//3bz22mumaNGiZu/evcYYY65cuWKOHj1q7fPo6GiX1PsoxcbGmh9++MFkzJjR5MiRwzz55JPm6aefNtu2bXN1aclSwgCf0KxZs0xgYKB56623rB8y4y1cuNC8/vrrd71tSne37T5x4oTJnTu3cTgcTsN2b9y4YerWrWvatGnD97h7tGzZMhMcHGxOnjxp4uLirH0+ffp043A4zLvvvmuOHz/udBs73t8IW8lU/Avtxx9/NOXLlzfr1q2z1nXv3t34+PiYzp07mzJlypjixYtbX0hS65va/YiLizPffPONKVSokGncuLEVuEaMGGHc3NxMq1atTM+ePU2HDh2Mv7+/Ne4/pUl47Nrtz5t27dqZtGnTmnnz5lntLl68aJ566ikzevTox1pnUhD/eowP4t988415/fXXzZ49e0yjRo1M8eLFTZEiRczHH39sSpUqZfVG45/F79e//vrL5MmTx7Rp08aMGTPGNGrUyAwePDhFfOl/XPr27Wt27txpXZ83b57JnDmzCQwMND///LNT27Vr15oSJUqY2bNnJ7qflPYZcvLkSbN+/XqzYcMGEx4e7upykqWEz4mtW7ea1atXm507d1qv38mTJ5snnnjChIaGmoMHD/7rfaQGCcPSt99+a95//30zc+ZMc/jwYWOMMePHjzd58+Y1bdu2NQcPHjS//vqrqVWrlilatKj1vkfgcpbwORT/96ZNm4y7u7tZvny5MeZ/QerIkSMma9asxuFwmLZt25pTp07ZWhthK5m424vq3LlzplixYiY0NNRaduXKFdOrVy9Tu3Zt06pVK+vLML8A37sbN26YyZMnm7Jlyzr1cM2aNcs0adLElC9f3lSvXt1s377dtYXa4PbJG7755hvTtWtXM2LECKdg2bp1a+Pt7W1at25tBg8ebOrVq2eKFi2aaIKRlC7+tbl06VLTrVs3s3fvXnPlyhVrfa1atYybm5v1hbZ58+bm448/Jijco8uXL5snnnjCtGrVyhhjzPXr18348eNNSEiI+fTTT11cXfLw22+/mWbNmiV6zrVv3944HA7TuXNnc/HiRad1xYoVM+++++5jrBLJ3XvvvWeefPJJ4+fnZwoVKmSqVatm9UxPnjzZ5MiRw7zzzjtWj2lqlfD73AcffGD8/f1NxYoVTZYsWUzTpk3Nli1bTFRUlPn6669N3rx5TcaMGU2JEiVM/fr1+T53FwmD1uTJk83EiRPNjRs3jDHGtGnTxuTPn99pQpYzZ86YLl26mFmzZhkPDw/ToUMHa9IMOxC2kpkffvgh0WxQCxYsMNmyZbPG2Me7fv269Tdf7O4u/o3v77//NidPnrR+WYqKijJTpkwxpUuXdgpcV65cMXFxcU7DCVOKN99809SoUcOajat///4mXbp0pkGDBsbLy8vUrVvXLFmyxGr/9ttvG4fDYRo1amS+/vpr63mW2p5vc+bMMT4+PmbgwIFm8+bN1vI33njDZM2a1bz22mvm1VdfNTdv3jSLFy9ONGwBd/9l+7///a9ZsmSJ0xeUq1evmm+++cYab49/F79/58yZY/3Ka8yt52hwcLAZO3as03tciRIlzCeffOKSWpH8jBo1ymTKlMmsXr3a/PHHH2bOnDmmWLFiTj0x3333nXF3dzcjRoxwbbFJxNatW03jxo2tmRoXLlxoqlataurXr299jsTExJitW7daw+CMSX2fr/8m4WdDjx49zBNPPGG++uor6/Nh8+bN5pVXXjEBAQFmzJgxZurUqaZ69eqmQoUKxphbx3U5HA7TqVMnjtnCrV6sypUrm/z585ty5cqZhQsXmr///tvExcWZ6tWrm0GDBhljEr8Q6Wq+u/h9M3fuXFOwYEGTL18+kylTJtOjRw9z+vRpExsba6ZMmWLKli3rNKQwpVq+fLnJly+fefXVV80vv/xiGjZsaB1YevDgQVO+fHlTu3Ztp2FHb731lvHz87NCWGr7xe3AgQMmODjYjBs3zmn51atXzYQJE8y+ffvMrl27TI0aNZyCKv4nfkr36Oho6/lzt9daahtu9LASfh6cPXvW5M2b17zyyitm7dq11vLXX3/dBAYGmtq1a5vevXubl156yRQsWDDV9VLjwcTExJjWrVubnj17Wsvi4uLMtm3bTOHChU27du2s5b/++muq+4y4kylTppi6deua2rVrO/1w+9NPP5mqVauaBg0amJUrVya6He9/dzd69GgTEBBwx1MKnDx50vTs2dMEBgaaEiVKmJCQEKvX1Zhb0+vb2eNK2ErC7vSiOn/+vDl8+LB56aWXTPny5U2xYsXMihUrTNeuXU2OHDnM6dOnXVBp8rZixQqTJk0aM2bMGPPLL7+YqVOnGn9/f9OsWTNz9uxZExUVZcLCwkz+/PlNixYtXF2ubeKfb+vWrTPBwcGmfv365oUXXjDnz5+32vzxxx9W4Eo4G+Ebb7xhMmbMaBYsWPDY63a1pUuXmqeeesppiGV8iE/4Gu7Vq5c5duzYY68vqfviiy9MmjRpnIZeHj161FSoUMH6xRcPL3741pIlS0yFChVM06ZNzZo1a6z1HTp0MA6Hw7z44ovm888/t5bzKzruRe3atU2tWrUSLf/ggw9MpUqVEo0ESe2Ba9y4cSY4ONhkz5490eEIP//8swkJCTGVKlVKNIsj/if+8zU2NtZER0ebpk2bmh49ehhjbv04PG3aNFO1alXzwgsvWJOznDlzxkRERFif0VFRUY8lwBK2kqiE//xdu3aZrVu3Jhp6tGbNGtOjRw+TJUsWU6tWLWu2PNyb+Df7Ll26mAYNGjit++2330yGDBlM7969jTG3juGaNm2aNcQwpUn4pmXMredWvnz5TIYMGZyGHBljzJ49e8xzzz1nypYt6/RluHHjxiZnzpwpvvfvdnc6QWr8G/nKlSudhhUisejoaPPiiy+avHnzGmNu9Whlz57dvPnmm/TKP4SE+27hwoXGw8PDLFu2zBhza2KlcuXKJQpcrVu3NiVKlDBff/11qv8yjDu72/Ni7NixpmzZsmbRokVOz72vv/7alC5dOtExganJ3b7MT5s2zRQuXNi0bNnS7N6922nd3LlzTadOnejJugfxx1q9/fbbpmzZsubjjz82lStXNnXr1jXt2rUzzz//vHnqqafMzZs3nZ6bj3PfEraSmIRTUxpjTJ8+fUzevHlN3rx5Tfr06U1YWJh1Pq1469evN0OGDDGNGjXiV8h7EP9iiw9OzZo1s8JWTEyMNXTmyy+/NEFBQebkyZMuqfNxSfh8O3jwoDXO+dChQyZv3rzm5ZdfNr///rvTbXbu3Gnat2+f6IPX7hl9kqLDhw8bHx8f88EHHyRa16VLF9O3b18TGRlJcPgHN27cME2aNDE5cuQwQUFBplu3btbQQjyc77//3nz44YdO5+ox5n+B6z//+Y/TkMIWLVqYQoUKmTFjxqS6H07wzxK+h61YscL89NNPVo/B8ePHTeXKlU2dOnXMzJkzTVRUlDl37pypXr26ady4cap9/0v4+bpx40azZs0a89tvv1nLwsLCTKlSpUybNm0SBa473QeczZ8/3/j5+ZkLFy6YFStWmFatWpkcOXKYoUOHWqdxCAsLM7Vr13YaNvi4EbaSkNsP9u7fv7/Jnj27+fXXX40xxrz22mvG19fXfPrpp4l+JUr4pZfA9e9mzZplHA6HCQ8PN1999ZXx8fGxxvnG78uZM2eawoULp+iTByb8AOzZs6cpUKCAyZw5s6lYsaKZP3++OXz4sHWMx+2BKx6/gHOC1AcVFxdnvV/9+eefxsfHx2TIkMFcunTJGMN72cPas2ePKVmypPHx8TFffPGFMcb5lA4LFy40FSpUMDVr1nQayvTyyy+bsmXLWv8HpG6vvvqqmTp1qnW9Z8+extfX1+TJk8d4e3ubCRMmGGNuzWRbq1YtU6BAAZMlSxZTsmRJU6xYsRRzIuyH0aNHD5M3b16TNWtWkyNHDlOtWjVr6PQ333xjSpcubdq1a5ciZzi209atW03p0qWt46GvX79u/vvf/zq1qVmzpmnatKkryrMQtpKIt99+2xprasytD8mQkBCzcOFCY8yt9J4xY0bToEED43A4zKeffproCYXE4t/cEwaCM2fOmG7duplRo0YZY271xrz66qumSJEiTgdWvvfee6Z8+fIp9gtHwl/LZsyYYQIDA838+fPN5MmTTffu3Y2bm5uZMmWK+euvv0y+fPnMf/7zH46huQtOkHpvbj8fWfxz8MiRIyZHjhymffv2pn79+iZPnjzWFxEC171L+JqOjo42cXFxZubMmaZ48eKmUKFC1qiIhIHrhx9+MG3btk3063lK79HHvWvVqpXx8fExs2fPNtu2bTPFihUzGzZsMH/99ZcZMmSI9Z3EmFuzh27bts2MGjXKzJ492/rsTc2v49GjR5tMmTKZ9evXm927d5vly5ebp59+2pQtW9ZqM2nSJJMzZ04zdOhQF1aatN2th69WrVqmSpUqTsuuXLlifvnlFxMSEuJ0ShpXBX7CVhIxf/5868lw6dIl6xwLkZGRZs2aNSYoKMg6WWyTJk2Mv7+/+eijj5wOKkdit89Ks23bNlO6dGlTunRpa3pzY24NxWzatKnx8vIyVatWNVWqVDF+fn6p4lemlStXmrZt2zod7xcREWFNXLBu3Tqzbds2kzZtWtO3b18XVpr0cYLUu7v9fGTxQfTkyZMmW7Zs5s033zTG3PphpGHDhiZDhgwMY7sPCb+IjBw50gwbNsyarfaHH34wZcuWNbVq1bImvLnTTIOxsbH0VOOOunbtanx8fEzfvn1Nt27dnNZ99tlnxuFwmM8///yOoSq1P6fat29vOnfu7LTs8OHDJleuXKZly5bWsp9//jnV76t78d///tdpP/3xxx8mb968Zu7cudayjRs3mrfeess0b948SZyShrDlYren7ClTpphatWo5TYbRrl0707p1a+vDMTQ01JQsWdI899xzqbpb/t+sW7fOOBwO8/HHH1vL5s6da6pWrWp8fHzMli1bnNqfO3fOTJ8+3XTp0sUMGjTIGouekp0+fdqaCCP+1AHxLly4YF588UXTsWNHY4wx27dv54MADyXh+cjih6Xu2LHD9OnTxyksREVFmWbNmplDhw65qtRkq0ePHiZbtmxm4sSJVu9UbGysmTFjhqlYsaKpU6eOFbhSc28D7l+PHj2Mw+Ew1atXT3T8y+eff248PT3NwIEDXXpsTFJUs2ZNU7NmTet6/OfosGHDTPny5c2FCxec2vM5e3djx441Tz/9tOnSpYs1KdX169dN9erVE/0IcOzYsSRzbjLCVhIzbtw4U6FCBfOf//zH+rJfuXJl6wuvMbfG0+/YscN6EhG47uz06dNm4MCBJmPGjE6B6+effzblypUzhQsXNvv37zfGpO59uHPnTpMvXz5TqlSpRMPe2rRp4/QhYQwfBHgwdzsfGR6duXPnmieeeMLp+MqEpyGYMWOGqVSpkilXrlyKPhYVD+/333+3hvt+8sknZt26dcYYY3r37m08PDzM9OnTE92mf//+pmLFiqn28/Run43fffedKViwoJk5c6bT8q+//tqULFkyxR6q8Cjc/lw6f/68+fDDD02tWrWMn5+f6dq1q9myZYtZsmSJ8fb2vuNopKTwfPQQkpS33npLadOmVVhYmPr06aNx48apSZMm6ty5sy5cuKD9+/crMjJShQsXlsPhkDFGDofD1WUnSYGBgeratat8fHw0aNAgpU2bVp06dVLt2rUVGxurUaNGqU2bNgoLC1P+/PkVExMjD4/U95IoVqyY5s6dqxYtWmjkyJHq2rWrSpQooStXrmjfvn0qXLiwU3t3d3cXVYrk7Pjx4/L09FSdOnWsZXFxcXJzc3Nqx3vagzt+/LiefPJJFS5cWLGxsU6vVTc3NzVt2lQ3b97Uxo0blT59ehdWiqRs7969ateunSpXrqyYmBiNGzdOe/bskSQNHDhQ165dU+vWreXh4aHGjRtbt+vbt6/69OmT6r6bREdHy9PT03q9rVixQhcvXlSpUqUUHBysSpUqqUCBApo8ebJu3LihVq1a6cyZM5o9e7by5csnX19fF29B0pTw8+HKlSuKjo5W5syZNWjQIEnS119/rVWrVqlatWqqWrWq0qZNqwULFqhEiRJO739J4nno4rCHBBKm77CwMFOxYkXz6quvmtOnT5sJEyaYJk2amA4dOljDCelhuLuEJ+j96KOPTI4cORKdh2zBggWmRo0apnLlyraeOTy52LZtmylUqJAJDAw09erVMw0bNjQlS5a0hoQkhV+HkHzd6Xxk8VatWuV0DCX+3Z0OFg8NDTUFChSwrsd/RsTExJiVK1ea8PBwl51nBslHTEyM+fTTT022bNlMunTpzPr1640xzsf5de3a1aRJk8bMnj070e1T02fFq6++aiZMmGB9Tvbo0cP4+vqaXLlyGU9PT+tY+/3795tmzZqZJ554wgQEBJgiRYqYEiVKWPuU1+Ld9e3b15QvX94UL17cjBkzxmndjRs3zM6dO02LFi3MU089ZfLkyZMkh7EStpKYhG9SkyZNsgJX/MH28S9IV48/TQ7mz59v0qZNawYMGGAGDhxo6tWrZ9KlS+c028/ChQvNM888Y2rWrGmioqJS1YfEnezevdsEBwebSpUqmS+//NJafqeD6YH7cS/nI+N5dm8SfjGLnxXOmFsnYw8KCko0o9m5c+dM7dq1zQ8//PBY60TykvB59eOPP5o8efKYwoULm65du1pD3RL+yPvuu+8ah8NhVqxY8dhrTSqaNWtm0qZNa7799luzZs0aU6ZMGfPbb7+Zixcvmv79+5sMGTKYoUOHmtjYWHP58mWzb98+M3bsWDN//nxmarwHX331lcmRI4cZNmyY6dy5s3F3dzfvvfeedR7G+OfszZs3zaFDh0yxYsXM4MGDXVnyHRG2kqC7Ba74k/DyC8i/u3btmqlTp47p3r27tezEiROmX79+Jm3atE49XIsXLzbHjh1zRZlJ0vbt20358uVNu3btmKAAjxTnI3t4Cd//e/XqZcqUKWOmTZtmrl+/bs6cOWM6depkypQpY3r16mXOnj1rNm3aZOrVq2dKly7NlzrckxkzZpivv/7aHD9+3HzyySemfPnypmPHjnc8zm/MmDGp8nmV8HtaaGio8fX1Nb179zZdu3Z1ajdo0CCTIUMG88knn1inXkiIEUrObv9+O336dDNt2jTr+g8//GB9htz+41x0dLRp1aqVadeu3WOp9X4QtpKohC/kyZMnm8qVK5uePXuamzdvpvrel3tx/fp16xe5hI4fP25CQkKMw+FIkr9+JBXbtm0z5cqVM02bNuVLMB4Zzkf26PTt29dky5bNLF261OkUIOHh4Wbw4MHmiSeeMOnTpzdPP/20qVy5MsPP8a/i4uLMxYsXTc6cOc37779vjLnVYzBo0CDzzDPPmHfeecd6roWGhjrN6JsaA1fC11JoaKhxOBymSpUqJiIiwqnd4MGDTaZMmUyfPn3MxYsXH3OVyUfC77bTp083I0eONM8++6yZOHGiU7sffvjBeHl5mffeey9R4GrdurWpUqVKkvuuTNhKwhI+Ubp3724qVqyYJMeiJlU9evQwtWvXNgcPHnRa3rNnT5MnTx4THBxszp07l6RekEnJ5s2bTZUqVcypU6dcXQpSGM5H9nD2799vChUqZH755RdjzK0ZurZt22Y++eQT8+uvvxpjjLl69apZunSp2bVrF8PPcU/iPwvDwsJMzpw5reMoo6KizJAhQ8wzzzxjKlWqZEJCQky2bNlS7fPpbqOL3n33XePm5mbCwsLM9evXnda9//77pkaNGnzfuIuE+yV+xstKlSoZh8NhXnzxRXPixAmn9rNnzzYOh8PpGK7du3ebihUrJskf71Lf1GvJSMIZfdKnT69Tp07pxo0b8vLycnVpSUr8Pjp37pzi4uIUEBAgSXruuee0aNEiffPNN3rjjTf01FNPSZJu3Liht99+W+3bt5efn58rS0/SypYtqyVLlihNmjSuLgUpTFBQkIKCglxdRrKVIUMGeXl56fjx41q3bp0mTZqkzZs3y+FwqHfv3powYYJat26tkJAQ6zZxcXGpcrZV3J25bcbA+OsVKlTQE088od9//12lSpWSp6enevTooRw5cmjjxo2KjIzU4sWL5eHhkWjWy5Qu4Qx5f/31l+Li4pQ1a1b5+/vrs88+05UrV/T222/Lw8NDr7zyivX5OXToUGv/3r7f8b8ZA3fu3KmdO3dq3bp1Klq0qNasWaO6desqe/bs+uijj5Q9e3ZJUqNGjbR8+XJVqlTJuo9ChQrpxx9/VMaMGV2yDf/EYYwxri4C/8wYo9mzZ+upp55S8eLFXV1OkjRv3jy9//77cjgcCgoKUlhYmHLnzq2vvvpKI0eOVEBAgPLmzasbN25o8eLF2rRpk/Lnz+/qsgHgH91pevzz58+rQ4cOOnHihLZu3arQ0FDVqlVLzz77rJo0aaKqVauqV69eLqoYyc3kyZOVLVs2p9MydOnSRfPnz9eBAwfk7e19x9ul1tOlSNJ7772nH3/8UcePH1fFihVVvnx5DRw4UJLUoUMHfffdd5o4caIaNmwoHx8f63YErbsbO3asFixYIDc3N82ePds6PcXSpUtVu3ZttW3b1ilwxYuJiZG7u3uS3q+p81WSzDgcDqdzWeCW+DetnTt36s0331Tnzp0VFBSkcePG6fnnn9fs2bPVrl075c6dW+vXr9fy5cuVM2dOrVy5kqAFIMlLGLQOHDggd3d3+fj46IknntDYsWN19OhRubm5qVy5ctZtIiIi6I3GP0r4vPr77781b948LVy4UM2aNVOpUqXUrVs3de/eXbt27VJYWJjefPPNRKHfGJOqglbCHrzvvvtOM2bM0NixYxUXF6f169dr+vTpOnfunMaPH68JEybIw8NDr7/+urJkyaKaNWta95OUA4Gr5cqVS7t27ZIxRjt27FDFihUlSdWrV9fixYtVv359Xbx4UePGjVPmzJmt2yWH5yE9W0jWtm7dqr///ltbt27VgAEDJN06wWC1atV0/PhxzZ07V6VKlbKWS5Knp6fL6gWAe5HwF/D+/ftr5syZiomJ0ZUrVxQWFqbatWtbba9fv65Tp06pU6dOOnPmjDZv3pwsvoDg8UsYmo4cOSJfX195eHjo1KlTGjdunBYsWKCgoCA1aNBACxcuVJEiRTRx4kQXV+06H3/8sZo0aaK8efNKklatWqV58+YpT5486tq1qyTp4sWLmj17tj799FN1795d7du3lyR9/vnneuedd3gt3oP497vVq1fr9ddfV5UqVdSjRw8VK1bMarNo0SINGzZMq1atStTbn9Qlr2qBBCIjI9WsWTO9/PLLOnLkiLXc09NTy5cvV65cufSf//xHGzZskDFGnp6eBC0AyUJ80OrXr5++/PJLff7551q1apXKlSunV199Vd9++62kW19SwsLCFBoaqps3b2rTpk3WsTRAQsYY60vq+++/r5o1a6pAgQKqX7++duzYodGjR+uPP/5QqVKltG/fPm3cuFFff/215s6d6+LKXePgwYPasWOHcufOLUk6ceKE6tatq9GjRys8PNxqlzFjRjVu3FhPPfWUtm/fbi1/99135eHhoZiYmMdee3ITfyxblSpV9NVXX2nNmjUaPny4du/ebbWpV6+e1qxZIzc3N8XFxbmw2vtH2EKy5e3traVLl+rZZ5/Vxo0b9ddff0mSFaxWrFghb29vdezYUZGRkS6uFgDuz7Zt27Rq1SpNnTpVderU0datW/Xbb7+pfPnyeuONN/Tdd99Zw8w7dOigZcuWydPT0zqGAYgXFxdnBfiZM2dqypQp+vTTT/XZZ5+pfPnyatGihQYPHixfX1+NGzdOo0eP1syZM1WqVCktX77cuo/U5KmnntKMGTPk7u6uRYsWKW3atFq9erVy5MihlStXasuWLVZbf39/FShQQAcOHFBUVJTT/dCzdW/iA1fNmjU1ceJErVq1SiNHjtS2bdsStU1uPVtM/Y5kI35q0P3795stW7aYNWvWGGNunay4SJEipmzZsub48eNObaOjo83Ro0ddUzAA3Ifbp4U+cuSI+eKLL0xcXJxZsWKFCQwMNKNHjzbGGFOtWjXj7+9vxo0b53QbTnqPf7Jy5UrTtm1bM3z4cGtZRESEGT16tEmXLp35/vvvndrPmDHD+Pj4mGPHjj3uUpOM06dPm1y5cpmWLVua8+fPm40bN5qcOXOaZs2ambVr1xpjjLl48aKpUKGCad26tYurTbru9N50p2Xx74O//PKL8fb2NoMGDbK9NrtxzBaSBfP/43nnz5+vrl27ysfHR0ePHtWrr76qIUOGKCYmRrVr11batGk1d+5c5ciRg1l/ACRLI0eO1LPPPqty5crp/PnzypIli1q0aKF06dJpzJgxcnd3V6tWrbR582ZlzpxZa9as4b0O/yo8PFwVK1bU2bNn1bNnT3344YfWuosXL+qNN95Qrly59MUXX1gzDV69elUVK1bU6NGjnabZTm22bdum9u3bq3jx4vrss8+0d+9eNW3aVDExMSpevLjSpk2rU6dOafXq1fL29ub7x20SHiu4bds2Xbt2TYULF1a6dOnuONtl/P7bvHmzSpcunex76pNZPxxSK4fDoV9//VWtW7dWr169tGPHDs2ZM0dTpkxR165d5XA4tHjxYkVHR+v555/XyZMneaMDkCzNmDFDvXv3liRlyZJF165d0x9//KHAwEC5u7srJiZGERERmjRpkhW0+N0U/yYwMFBz585VtmzZNHfuXKfjizJmzKjMmTPr0KFDkv439G348OHatWuXNUFEalWqVCl99dVX2rZtm7p3765ChQpp3rx5cjgcOn/+vF588UVt3LhR3t7eioqK4vvHbeKDVs+ePVWzZk01bNhQBQoUUM+ePfXHH3/c9XblypWTu7t7sj8GlbCFZCEiIkJz5sxR165d1b59e508eVKdOnVSo0aNtGTJEnXs2FFxcXGaP3++smbNmmjMNAAkdfGBqXfv3oqIiND69eslSenSpVO1atX0ySef6J133lGFChV0+PBhlS1bVg6Hw+l4HOCfFCtWTHPnzlVsbKxGjhypHTt2SJKuXLmiffv2KUeOHE7tX3jhBW3ZskVPPPGEC6pNWkqWLKlJkyZp27Zt6tGjh4KDgzV//nydO3dOa9eu1YEDByRJXl5eLq406Uj4I9DixYv1/fffa9q0adqxY4c++OADbd26VUOGDNHBgwedbnf7+1ly79liGCGShaioKC1YsEClSpVSxowZFRISolKlSunrr7/WjBkz1Lx5c9WqVUtfffWVAgICOCAVQJJ3t6FG58+fV7Vq1VS5cmWNHj1aknT16lUNGTJEO3bsUEBAgCZOnChPT0+n8/8A92r79u167bXXdOHCBZUpU0ZeXl46cuSINm7cKC8vL2syjGQ3EcFjsH37duscnjNmzNDy5csVGhqqUqVKqX///ipUqJCrS0xyvvrqK124cEHXrl2zTtMjSdOnT9cnn3yi1q1bq0uXLnc8iXtKkPK2CCmSl5eX6tevr3z58unnn39WmjRp1K9fP0m3fgGpUqWK9u7dq9jYWIIWgGQhPmjNmjVLYWFh1vIsWbJo4MCB+uGHH7R69WpJUvr06TVkyBDNmTNHYWFhzDqIh1KyZEl9//338vHx0eXLl1W9enVt27ZNXl5eio6OlpubW4r80vsolCxZUuPGjVOGDBnk5uam2rVra/jw4dq/f78yZszo6vKSnKioKH311Vfq1auX9uzZ4zQksFmzZnruuec0fvx4xcbGptjnXMrcKqRIadKkkXTrRIxXrlxRunTpJEk7d+5Uo0aNdOjQIeXKlcuVJQLAfTl//rzGjBmjoUOHqnz58lq0aJFOnjyp+vXrq3jx4vrtt98kyTpXj4+Pj6RbvWL8sISHUaRIEc2dO1dRUVHatm2b/vzzT0nifJT3oFy5cgoLC7POo9WgQQNt3LhR2bNnd3VpLnf7gDkvLy8tXbpUDRs21KpVq7Rx40an9aVLl1bGjBl148aNx1nmY8UwQiQ727dvV4UKFVSmTBmlSZNGW7Zs0dq1a53ONA4ASdGdhsn897//VUREhLp166bTp0/rxo0bGjlypBYuXKhZs2Zpy5YtCgwMdFHFSOm2b9+uN998U3nz5tVHH32kAgUKuLqkZCPhUGBmIHTeBydOnJCHh4cVQK9du6Z69erp8OHDmjBhgooUKaJ06dKpYcOG8vHx0U8//ZRi9x89W0h2SpYsqZUrVyo4OFgFChTQ+vXrCVoAkryEQWv37t3atm2bTpw4ocyZMys4OFjz5s3Tp59+qpo1a6pJkybat2+fTp48qRkzZri4cqRkJUuW1JgxY3T69Gn5+fm5upxkJWE4SKlB4V5MmjRJe/futfbBBx98oPr166tw4cLq3bu3du3apXTp0umnn37Sk08+qXr16qlq1arq3Lmzbt68qQULFqToWVXp2UKyFT8DV2p+gwOQ9BljZIyxglbfvn01bdo0SdLZs2c1evRo1atXT1myZLFus2HDBq1atUpbt27VzJkzGTII2928edMarg/cq9WrV6tatWoKDQ1Vt27dtG7dOvXo0UMff/yxTpw4oQkTJqhixYoKDQ3VM888o2vXrqlVq1b68ccftXTpUlWuXFmSrHO7pUSELQAAbPL33387Tac9YMAAjR8/XlOmTFH16tX1+uuv68cff1SfPn3Utm1b+fv7W20TzjSYkr+IAEjevvvuO33wwQdq0aKFYmJiVKRIEb322muSpF9++UXdu3dXsWLF1LlzZ5UvX17Xrl1TnTp1dOLECS1cuFCFCxd28RbYi3duAABs0LFjR6VLl07Dhg2TJO3du1dr167VxIkTVb16dS1YsEA//fSTnn/+eb333nuSpDfeeEOZMmWS5HxuGYIWgKQm/hit1157TXFxcfrggw904cIFDRkyxGpTs2ZNSVKPHj00ZswYRUVFqVKlSlq0aJEaNWqkZ599Vhs2bEjRU+ZzzBYAADaoUaOGBg8eLEm6fPmy8ufPr6ZNm6pGjRpau3at3n77bQ0YMEDz589X48aNNXjwYI0aNUpXr151ceUA8M/ig1b8VO4tWrTQyJEj5ePjo99++806ybN0K3B99tln+uWXX7RixQoZY5QhQwbNnj1bVapUSfEngmYYIQAAj9Dts5JNnTpVM2bM0MSJE5UzZ05JUvv27RUTE6MJEybI09NTnTp10rp165Q2bVqtXbuWY1EBJFkJJ/u5/Vi/qVOnqlevXmrcuLE6duyo/PnzW+s2b96s0qVLy93d3XqfTA2zONKzBQDAI3T7F4dr167p8uXL6tmzpw4ePChJOnDggNKmTWud0+jkyZMKCwuzgha/gwJIihJO9vP555+rcePGaty4sfr166e4uDi1aNFCgwYN0uzZszV27Fjr/G3SrfOTubu7KzY21nqfTOlBS6JnCwAA202ZMkVhYWEKCAjQuHHjNHPmTHXu3Fmvvvqq9u/fr8jISO3cuVMeHh6p4pdeAMlPwvemTz75RIMGDVLHjh31119/ac+ePUqTJo02bdokT09PTZ48WR999JGef/55DRo0yGmioNSGI24BALBJ/JeTli1byhijb775Rh07dtTIkSPl6emp5cuXq1y5cho9erQ8PDycZiAEgKQkPmj9/vvv2rVrl3744QfVrl1bkrRp0ya1a9dOVatW1bp169SqVStFRkZq8eLFCgoKcmXZLkfPFgAANkr4a3BYWJgmTZqkJ554Ql988YUCAgKs4x+Y3h1AUvf9999r2LBhunz5subNm6eiRYtKunWqipUrV6pTp0765JNP9OKLLzrdLuFxXqlN6txqAAAek4THYLVu3VpvvPGGTp48qXfeeUdHjhyRm5ub4uLiCFoAkrzSpUsre/bsOnbsmBYsWGAtd3d3V8mSJXX16lWdOHEi0e1Sa9CSCFsAANju9sDVtm1bnT59WhMmTFBkZCTHaAFIFp588kmNHz9ederU0aJFizR58mRrnY+Pj/z9/VN1sLoThhECAPCYJBxS2KNHD23cuFHLly9P8eeZAZCyHD16VKGhoTp06JCee+45FS5cWGvXrtW+ffu0Z88eeuoTIHoCAPCYJOzhSp8+vU6dOqUbN264uCoAuD958uTR2LFjVbBgQU2ZMkXLly9XpUqVdODAAWuyH9xC7AQA4DGKD1yFChXS3Llz5efn5+qSAOC+5c6dW6NHj1ZsbKw8PDyUPXt2ax1DCf+HYYQAAAAAHsjhw4fVuXNn3bx5U82aNdMbb7zh6pKSFGInAAAAgAeSN29ejRkzRpGRkVqwYIEiIiJcXVKSQs8WAAAAgIdy7Ngxubm5KWfOnK4uJUkhbAEAAACADRhGCAAAAAA2IGwBAAAAgA0IWwAAAABgA8IWAAAAANiAsAUAAAAANiBsAQAAAIANCFsAgFTF4XD846Vfv36uLhEAkEJ4uLoAAAAep9OnT1t/f//99+rbt68OHDhgLUufPr0rygIApED0bAEAUpXAwEDr4ufnJ4fDYV2/du2amjdvroCAAKVPn15ly5bVsmXLnG5/+vRp1a1bVz4+PgoODtb06dOVJ08ejRw5UpJkjFG/fv2UK1cueXt7KygoSJ07d3bBlgIAXI2eLQAA/t/Vq1dVp04dDR48WN7e3po6darq16+vAwcOKFeuXJKkFi1a6Pz581q1apU8PT3VrVs3nT171rqPOXPmaMSIEZo5c6YKFy6s8PBw7dy501WbBABwIcIWAAD/r3jx4ipevLh1feDAgZo3b55+/PFHhYaGav/+/Vq2bJm2bNmiMmXKSJK+/vpr5c+f37rN8ePHFRgYqJCQEHl6eipXrlwqV67cY98WAIDrMYwQAID/d/XqVXXv3l0FCxaUv7+/0qdPr3379un48eOSpAMHDsjDw0OlSpWybvPkk08qY8aM1vXGjRvrxo0byps3r9q1a6d58+YpJibmsW8LAMD1CFsAAPy/7t27a968eRoyZIjWrl2rHTt2qGjRooqKirrn+8iZM6cOHDigcePGycfHR2+//bYqV66s6OhoGysHACRFhC0AAP7funXr1KpVK7388ssqWrSoAgMDdfToUWv9008/rZiYGG3fvt1a9ueff+rixYtO9+Pj46P69etr1KhRWrVqlTZs2KDdu3c/rs0AACQRHLMFAMD/y58/v+bOnav69evL4XCoT58+iouLs9YXKFBAISEhat++vb788kt5enrq3XfflY+PjxwOhyRp8uTJio2NVfny5ZU2bVp999138vHxUe7cuV21WQAAF6FnCwCA/zd8+HBlzJhRzz77rOrXr6+aNWs6HZ8lSVOnTlVAQIAqV66sl19+We3atVOGDBmUJk0aSZK/v7+++uorPffccypWrJiWLVumhQsXKnPmzK7YJACACzmMMcbVRQAAkFz9/fffypkzp5YtW6Zq1aq5uhwAQBJC2AIA4D6sWLFCV69eVdGiRXX69Gm99957OnnypA4ePChPT09XlwcASEI4ZgsAgPsQHR2tDz74QIcPH1aGDBn07LPPatq0aQQtAEAi9GwBAAAAgA2YIAMAAAAAbEDYAgAAAAAbELYAAAAAwAaELQAAAACwAWELAAAAAGxA2AIAAAAAGxC2AAAAAMAGhC0AAAAAsMH/AWnoHc9pu1sWAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#as there are 5 classes out of wich 4 are subclasses for the class 'closed', we'll be merging those 4 classes\n",
    "closed_classes = ['not constructive', 'not a real question', 'off topic', 'too localized']\n",
    "df['OpenStatus'] = df['OpenStatus'].replace(closed_classes, 'closed')\n",
    "\n",
    "# Splitting the dataset into closed and open questions\n",
    "df_closed = df[df['OpenStatus'] == 'closed']\n",
    "df_open = df[df['OpenStatus'] == 'open']\n",
    "\n",
    "# Top tags for closed questions\n",
    "top_closed_tags = df_closed['Tags'].value_counts().head(10)\n",
    "\n",
    "# Top tags for open questions\n",
    "top_open_tags = df_open['Tags'].value_counts().head(10)\n",
    "\n",
    "# Plotting the top tags for closed questions\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.barplot(x=top_closed_tags.index, y=top_closed_tags.values, palette='viridis',hue=top_closed_tags.values,legend=False)\n",
    "plt.title('Top Tags for Closed Questions')\n",
    "plt.xlabel('Tags')\n",
    "plt.ylabel('Count')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n",
    "\n",
    "# Plotting the top tags for open questions\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.barplot(x=top_open_tags.index, y=top_open_tags.values, palette='viridis',hue=top_open_tags.values,legend=False )\n",
    "plt.title('Top Tags for Open Questions')\n",
    "plt.xlabel('Tags')\n",
    "plt.ylabel('Count')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f877498c",
   "metadata": {},
   "source": [
    "#### Word Cloud of Question Titles "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "dcdd1434",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "text = \" \".join(title for title in df['Title'][:1000])\n",
    "\n",
    "wordcloud = WordCloud(width=800, height=600, max_words=150).generate(text)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.title(\"Word Cloud of Question Titles \")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1948aa02",
   "metadata": {},
   "source": [
    "## Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3f2c8181",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['PostId','OwnerCreationDate','Tag1','Tag2','Tag3','Tag4','Tag5'],axis=1,inplace=True)\n",
    "df.drop(['ReputationAtPostCreation'],axis=1,inplace=True)\n",
    "df.drop(['PostCreationDate'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bd687c73",
   "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>Title</th>\n",
       "      <th>BodyMarkdown</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Tags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Decimal vs Double?</td>\n",
       "      <td>I'm new to C#, and I want to use a trackbar fo...</td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Percentage width child in absolutely positione...</td>\n",
       "      <td>I've got an absolutely positioned div containi...</td>\n",
       "      <td>open</td>\n",
       "      <td>html css</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tools for porting J# code to C#</td>\n",
       "      <td>Are there any conversion tools for porting Vis...</td>\n",
       "      <td>open</td>\n",
       "      <td>j#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>How do I calculate someone's age in c#?</td>\n",
       "      <td>Given a DateTime representing their birthday, ...</td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>retrieve data from NSUserDefaults to TableView</td>\n",
       "      <td>I save values of two labels through NSUserDefa...</td>\n",
       "      <td>open</td>\n",
       "      <td>iphone objective-c ios5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Title  \\\n",
       "0                                 Decimal vs Double?   \n",
       "1  Percentage width child in absolutely positione...   \n",
       "2                    Tools for porting J# code to C#   \n",
       "3            How do I calculate someone's age in c#?   \n",
       "4     retrieve data from NSUserDefaults to TableView   \n",
       "\n",
       "                                        BodyMarkdown OpenStatus  \\\n",
       "0  I'm new to C#, and I want to use a trackbar fo...       open   \n",
       "1  I've got an absolutely positioned div containi...       open   \n",
       "2  Are there any conversion tools for porting Vis...       open   \n",
       "3  Given a DateTime representing their birthday, ...       open   \n",
       "4  I save values of two labels through NSUserDefa...       open   \n",
       "\n",
       "                      Tags  \n",
       "0                       c#  \n",
       "1                 html css  \n",
       "2                       j#  \n",
       "3                       c#  \n",
       "4  iphone objective-c ios5  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b47f0837",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['open', 'closed'], dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.OpenStatus.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d0ffe2a6",
   "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>Title</th>\n",
       "      <th>BodyMarkdown</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Tags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Decimal vs Double?</td>\n",
       "      <td>I'm new to C#, and I want to use a trackbar fo...</td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Percentage width child in absolutely positione...</td>\n",
       "      <td>I've got an absolutely positioned div containi...</td>\n",
       "      <td>open</td>\n",
       "      <td>html css</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tools for porting J# code to C#</td>\n",
       "      <td>Are there any conversion tools for porting Vis...</td>\n",
       "      <td>open</td>\n",
       "      <td>j#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>How do I calculate someone's age in c#?</td>\n",
       "      <td>Given a DateTime representing their birthday, ...</td>\n",
       "      <td>open</td>\n",
       "      <td>c#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>retrieve data from NSUserDefaults to TableView</td>\n",
       "      <td>I save values of two labels through NSUserDefa...</td>\n",
       "      <td>open</td>\n",
       "      <td>iphone objective-c ios5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Title  \\\n",
       "0                                 Decimal vs Double?   \n",
       "1  Percentage width child in absolutely positione...   \n",
       "2                    Tools for porting J# code to C#   \n",
       "3            How do I calculate someone's age in c#?   \n",
       "4     retrieve data from NSUserDefaults to TableView   \n",
       "\n",
       "                                        BodyMarkdown OpenStatus  \\\n",
       "0  I'm new to C#, and I want to use a trackbar fo...       open   \n",
       "1  I've got an absolutely positioned div containi...       open   \n",
       "2  Are there any conversion tools for porting Vis...       open   \n",
       "3  Given a DateTime representing their birthday, ...       open   \n",
       "4  I save values of two labels through NSUserDefa...       open   \n",
       "\n",
       "                      Tags  \n",
       "0                       c#  \n",
       "1                 html css  \n",
       "2                       j#  \n",
       "3                       c#  \n",
       "4  iphone objective-c ios5  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6e200e0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#making a smaller dataset out of the big one\n",
    "sample_size = 50000  # Specify the size of the sample\n",
    "sample_df = df.sample(n=sample_size, random_state=42) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2b464c2b",
   "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>Title</th>\n",
       "      <th>BodyMarkdown</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Tags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1685842</th>\n",
       "      <td>get value attribute checkbox javascript function</td>\n",
       "      <td>function getvalue document getelementbyid requ...</td>\n",
       "      <td>open</td>\n",
       "      <td>php mysql html checkbox value</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2735337</th>\n",
       "      <td>search string multiple field table</td>\n",
       "      <td>table user field id first name middle name las...</td>\n",
       "      <td>open</td>\n",
       "      <td>php mysql sql query</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2889559</th>\n",
       "      <td>create static subview navigation controller</td>\n",
       "      <td>created navigation controller stack view contr...</td>\n",
       "      <td>open</td>\n",
       "      <td>io xcode uiview uinavigationcontroller three</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117858</th>\n",
       "      <td>use default password lock screen android appli...</td>\n",
       "      <td>new android want use default password lock scr...</td>\n",
       "      <td>open</td>\n",
       "      <td>android lockscreen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361717</th>\n",
       "      <td>grail gorm enums</td>\n",
       "      <td>problem using enumeration grail try use enumer...</td>\n",
       "      <td>open</td>\n",
       "      <td>grail groovy enums</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     Title  \\\n",
       "1685842   get value attribute checkbox javascript function   \n",
       "2735337                 search string multiple field table   \n",
       "2889559        create static subview navigation controller   \n",
       "2117858  use default password lock screen android appli...   \n",
       "361717                                    grail gorm enums   \n",
       "\n",
       "                                              BodyMarkdown OpenStatus  \\\n",
       "1685842  function getvalue document getelementbyid requ...       open   \n",
       "2735337  table user field id first name middle name las...       open   \n",
       "2889559  created navigation controller stack view contr...       open   \n",
       "2117858  new android want use default password lock scr...       open   \n",
       "361717   problem using enumeration grail try use enumer...       open   \n",
       "\n",
       "                                                 Tags  \n",
       "1685842                 php mysql html checkbox value  \n",
       "2735337                           php mysql sql query  \n",
       "2889559  io xcode uiview uinavigationcontroller three  \n",
       "2117858                            android lockscreen  \n",
       "361717                             grail groovy enums  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#text preprocessing\n",
    "def preprocess_text(text):\n",
    "    #convert to lowercase\n",
    "    text = text.lower()\n",
    "    \n",
    "    #remove HTML tags\n",
    "    text = remove_html_tags(text)\n",
    "    \n",
    "    #remove URL tags\n",
    "    text = remove_urls(text)\n",
    "    \n",
    "    #remove special characters and numbers\n",
    "    text = re.sub(r'[^a-zA-Z]', ' ', text)\n",
    "    \n",
    "    #tokenize the text into individual words\n",
    "    tokens = word_tokenize(text)\n",
    "    \n",
    "    #remove stopwords\n",
    "    stop_words = set(stopwords.words('english'))\n",
    "    tokens = [word for word in tokens if word not in stop_words]\n",
    "    \n",
    "    #lemmatize the words\n",
    "    lemmatizer = WordNetLemmatizer()\n",
    "    tokens = [lemmatizer.lemmatize(word) for word in tokens]\n",
    "    \n",
    "    #join the tokens back into a single string\n",
    "    preprocessed_text = ' '.join(tokens)\n",
    "    \n",
    "    return preprocessed_text\n",
    "\n",
    "#function to remove HTML tags\n",
    "def remove_html_tags(text):\n",
    "    pattern = re.compile('<.*?>')\n",
    "    return pattern.sub(r'', text)\n",
    "\n",
    "#function to remove URL links\n",
    "def remove_urls(text):\n",
    "    pattern = re.compile(r'http\\S+|www\\S+')\n",
    "    return pattern.sub(r'', text)\n",
    "\n",
    "#apply preprocessing to the 'Title' and 'BodyMarkdown' columns\n",
    "sample_df['Title'] = sample_df['Title'].apply(preprocess_text)\n",
    "sample_df['BodyMarkdown'] = sample_df['BodyMarkdown'].apply(preprocess_text)\n",
    "sample_df['Tags'] = sample_df['Tags'].apply(preprocess_text)\n",
    "\n",
    "#display the preprocessed dataset\n",
    "sample_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2d296cc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['open', 'closed'], dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_df.OpenStatus.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6ddf7d48",
   "metadata": {},
   "outputs": [],
   "source": [
    "#encoding the OpenStatus so that categorical classes will be transformed into numeric\n",
    "\n",
    "encoder = LabelEncoder()\n",
    "encoder.fit(sample_df['OpenStatus'])\n",
    "sample_df['OpenStatus'] = encoder.transform(sample_df['OpenStatus'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f7289bc9",
   "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>Title</th>\n",
       "      <th>BodyMarkdown</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Tags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1685842</th>\n",
       "      <td>get value attribute checkbox javascript function</td>\n",
       "      <td>function getvalue document getelementbyid requ...</td>\n",
       "      <td>1</td>\n",
       "      <td>php mysql html checkbox value</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2735337</th>\n",
       "      <td>search string multiple field table</td>\n",
       "      <td>table user field id first name middle name las...</td>\n",
       "      <td>1</td>\n",
       "      <td>php mysql sql query</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2889559</th>\n",
       "      <td>create static subview navigation controller</td>\n",
       "      <td>created navigation controller stack view contr...</td>\n",
       "      <td>1</td>\n",
       "      <td>io xcode uiview uinavigationcontroller three</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117858</th>\n",
       "      <td>use default password lock screen android appli...</td>\n",
       "      <td>new android want use default password lock scr...</td>\n",
       "      <td>1</td>\n",
       "      <td>android lockscreen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361717</th>\n",
       "      <td>grail gorm enums</td>\n",
       "      <td>problem using enumeration grail try use enumer...</td>\n",
       "      <td>1</td>\n",
       "      <td>grail groovy enums</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     Title  \\\n",
       "1685842   get value attribute checkbox javascript function   \n",
       "2735337                 search string multiple field table   \n",
       "2889559        create static subview navigation controller   \n",
       "2117858  use default password lock screen android appli...   \n",
       "361717                                    grail gorm enums   \n",
       "\n",
       "                                              BodyMarkdown  OpenStatus  \\\n",
       "1685842  function getvalue document getelementbyid requ...           1   \n",
       "2735337  table user field id first name middle name las...           1   \n",
       "2889559  created navigation controller stack view contr...           1   \n",
       "2117858  new android want use default password lock scr...           1   \n",
       "361717   problem using enumeration grail try use enumer...           1   \n",
       "\n",
       "                                                 Tags  \n",
       "1685842                 php mysql html checkbox value  \n",
       "2735337                           php mysql sql query  \n",
       "2889559  io xcode uiview uinavigationcontroller three  \n",
       "2117858                            android lockscreen  \n",
       "361717                             grail groovy enums  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "f7eeb790",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_df.OpenStatus.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "9efd7a5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#splitting the dataset into train and test set\n",
    "x = sample_df['Title'] + ' '+ sample_df['BodyMarkdown']+' '+sample_df['Tags']\n",
    "y = sample_df['OpenStatus']\n",
    "xtrain, xtest, ytrain, ytest = train_test_split(x, y, test_size = 0.3, random_state = 203)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "1a1a49dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2606099    passing wordpress post id jquery selector im t...\n",
       "3118748    left ward greedyness group regex next regex sa...\n",
       "2478403    using local resource silver light need know op...\n",
       "2330292    calling protocol framework currently using nin...\n",
       "2448436    dashed unordered list ckeditor trying find way...\n",
       "dtype: object"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xtrain.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0bfa2050",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3137521    extract class name method name sample project ...\n",
       "1422241    key attribute keyword rail diaspora class incl...\n",
       "962666     java check object fetched garbage collector wa...\n",
       "1641918    complete n b web development need suggestion c...\n",
       "1470065    achieve using atomicboolean make sure initiali...\n",
       "dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xtest.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2dfea400",
   "metadata": {},
   "outputs": [],
   "source": [
    "#converting words to numbers using TF-IDF ie performing vectorization\n",
    "\n",
    "vectorizer = TfidfVectorizer(max_features = 10000)\n",
    "xtrain_tfidf = vectorizer.fit_transform(xtrain).toarray()  # converting words to numbers for train data \n",
    "xtest_tfidf = vectorizer.transform(xtest).toarray()        # converting words to numbers for test data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "09d80221",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35000, 10000)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xtrain_tfidf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "2b166917",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50000, 4)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2df0e9a9",
   "metadata": {},
   "source": [
    "#### Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9cb1215d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From c:\\Users\\a1kin\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\keras\\src\\backend.py:873: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
      "\n",
      "WARNING:tensorflow:From c:\\Users\\a1kin\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\keras\\src\\optimizers\\__init__.py:309: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
      "\n",
      "Epoch 1/10\n",
      "WARNING:tensorflow:From c:\\Users\\a1kin\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\keras\\src\\utils\\tf_utils.py:492: The name tf.ragged.RaggedTensorValue is deprecated. Please use tf.compat.v1.ragged.RaggedTensorValue instead.\n",
      "\n",
      "WARNING:tensorflow:From c:\\Users\\a1kin\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\keras\\src\\engine\\base_layer_utils.py:384: The name tf.executing_eagerly_outside_functions is deprecated. Please use tf.compat.v1.executing_eagerly_outside_functions instead.\n",
      "\n",
      "1094/1094 [==============================] - 9s 7ms/step - loss: 0.1612 - accuracy: 0.9780 - val_loss: 0.0962 - val_accuracy: 0.9788\n",
      "Epoch 2/10\n",
      "1094/1094 [==============================] - 6s 5ms/step - loss: 0.0852 - accuracy: 0.9800 - val_loss: 0.0921 - val_accuracy: 0.9788\n",
      "Epoch 3/10\n",
      "1094/1094 [==============================] - 6s 5ms/step - loss: 0.0734 - accuracy: 0.9800 - val_loss: 0.0916 - val_accuracy: 0.9788\n",
      "Epoch 4/10\n",
      "1094/1094 [==============================] - 7s 6ms/step - loss: 0.0612 - accuracy: 0.9803 - val_loss: 0.0970 - val_accuracy: 0.9785\n",
      "Epoch 5/10\n",
      "1094/1094 [==============================] - 8s 7ms/step - loss: 0.0501 - accuracy: 0.9830 - val_loss: 0.1082 - val_accuracy: 0.9773\n",
      "Epoch 6/10\n",
      "1094/1094 [==============================] - 8s 8ms/step - loss: 0.0407 - accuracy: 0.9861 - val_loss: 0.1224 - val_accuracy: 0.9749\n",
      "Epoch 7/10\n",
      "1094/1094 [==============================] - 7s 6ms/step - loss: 0.0324 - accuracy: 0.9892 - val_loss: 0.1385 - val_accuracy: 0.9735\n",
      "Epoch 8/10\n",
      "1094/1094 [==============================] - 7s 7ms/step - loss: 0.0252 - accuracy: 0.9918 - val_loss: 0.1569 - val_accuracy: 0.9715\n",
      "Epoch 9/10\n",
      "1094/1094 [==============================] - 7s 7ms/step - loss: 0.0192 - accuracy: 0.9940 - val_loss: 0.1760 - val_accuracy: 0.9678\n",
      "Epoch 10/10\n",
      "1094/1094 [==============================] - 7s 6ms/step - loss: 0.0140 - accuracy: 0.9959 - val_loss: 0.2045 - val_accuracy: 0.9664\n",
      "469/469 [==============================] - 1s 3ms/step - loss: 0.2045 - accuracy: 0.9664\n",
      "Test Accuracy: 0.9664000272750854\n"
     ]
    }
   ],
   "source": [
    "\n",
    "model = Sequential()\n",
    "model.add(Dense(16, input_dim=xtrain_tfidf.shape[1], activation='relu'))  \n",
    "model.add(Dense(4, activation='relu'))  \n",
    "model.add(Dense(1, activation='sigmoid'))\n",
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "\n",
    "# Training the model\n",
    "model.fit(xtrain_tfidf, ytrain, epochs=10, batch_size=32, validation_data=(xtest_tfidf,ytest))\n",
    "loss, accuracy = model.evaluate(xtest_tfidf, ytest)\n",
    "print('Test Accuracy:', accuracy)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a231376c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "469/469 [==============================] - 2s 4ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0.9999998],\n",
       "       [1.       ],\n",
       "       [1.       ],\n",
       "       ...,\n",
       "       [0.999999 ],\n",
       "       [0.9999995],\n",
       "       [0.999739 ]], dtype=float32)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred = model.predict(xtest_tfidf)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5a4c962a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.15      0.12      0.13       318\n",
      "           1       0.98      0.98      0.98     14682\n",
      "\n",
      "    accuracy                           0.97     15000\n",
      "   macro avg       0.56      0.55      0.56     15000\n",
      "weighted avg       0.96      0.97      0.96     15000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Convert continuous predictions to binary values using a threshold\n",
    "y_pred_binary = (y_pred > 0.5).astype(int)\n",
    "\n",
    "print(classification_report(ytest, y_pred_binary))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "512d7978",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "conf_matrix = confusion_matrix(ytest, y_pred_binary)\n",
    "conf_matrix\n",
    "\n",
    "\n",
    "# Plotting the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(conf_matrix, annot=True, cmap='viridis', fmt='g')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()\n"
   ]
  }
 ],
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