main2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "data_df = pd.DataFrame(\n",
    "    {\n",
    "        \"sales\": [\n",
    "            [0, 4, 26, 80, 100, 40],\n",
    "            [80, 20, 80, 35, 40, 100],\n",
    "            [10, 20, 80, 80, 70, 0],\n",
    "            [10, 100, 20, 100, 30, 100],\n",
    "        ],\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'Discord-Analysis.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39;49mread_csv(\u001b[39m'\u001b[39;49m\u001b[39mDiscord-Analysis.csv\u001b[39;49m\u001b[39m'\u001b[39;49m)\n\u001b[1;32m      2\u001b[0m df2 \u001b[39m=\u001b[39m df\u001b[39m.\u001b[39msort_values(by\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m6-Months\u001b[39m\u001b[39m\"\u001b[39m,ascending\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[1;32m      3\u001b[0m df2\u001b[39m.\u001b[39mhead(\u001b[39m15\u001b[39m)\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/io/parsers/readers.py:912\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m    899\u001b[0m kwds_defaults \u001b[39m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m    900\u001b[0m     dialect,\n\u001b[1;32m    901\u001b[0m     delimiter,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    908\u001b[0m     dtype_backend\u001b[39m=\u001b[39mdtype_backend,\n\u001b[1;32m    909\u001b[0m )\n\u001b[1;32m    910\u001b[0m kwds\u001b[39m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 912\u001b[0m \u001b[39mreturn\u001b[39;00m _read(filepath_or_buffer, kwds)\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/io/parsers/readers.py:577\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    574\u001b[0m _validate_names(kwds\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mnames\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m))\n\u001b[1;32m    576\u001b[0m \u001b[39m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 577\u001b[0m parser \u001b[39m=\u001b[39m TextFileReader(filepath_or_buffer, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwds)\n\u001b[1;32m    579\u001b[0m \u001b[39mif\u001b[39;00m chunksize \u001b[39mor\u001b[39;00m iterator:\n\u001b[1;32m    580\u001b[0m     \u001b[39mreturn\u001b[39;00m parser\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1407\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m   1404\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39moptions[\u001b[39m\"\u001b[39m\u001b[39mhas_index_names\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m kwds[\u001b[39m\"\u001b[39m\u001b[39mhas_index_names\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[1;32m   1406\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles: IOHandles \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m-> 1407\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_make_engine(f, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mengine)\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1661\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1659\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m mode:\n\u001b[1;32m   1660\u001b[0m         mode \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m-> 1661\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles \u001b[39m=\u001b[39m get_handle(\n\u001b[1;32m   1662\u001b[0m     f,\n\u001b[1;32m   1663\u001b[0m     mode,\n\u001b[1;32m   1664\u001b[0m     encoding\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mencoding\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[1;32m   1665\u001b[0m     compression\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mcompression\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[1;32m   1666\u001b[0m     memory_map\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mmemory_map\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mFalse\u001b[39;49;00m),\n\u001b[1;32m   1667\u001b[0m     is_text\u001b[39m=\u001b[39;49mis_text,\n\u001b[1;32m   1668\u001b[0m     errors\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mencoding_errors\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mstrict\u001b[39;49m\u001b[39m\"\u001b[39;49m),\n\u001b[1;32m   1669\u001b[0m     storage_options\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mstorage_options\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[1;32m   1670\u001b[0m )\n\u001b[1;32m   1671\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m   1672\u001b[0m f \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles\u001b[39m.\u001b[39mhandle\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/io/common.py:859\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m    854\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(handle, \u001b[39mstr\u001b[39m):\n\u001b[1;32m    855\u001b[0m     \u001b[39m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m    856\u001b[0m     \u001b[39m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m    857\u001b[0m     \u001b[39mif\u001b[39;00m ioargs\u001b[39m.\u001b[39mencoding \u001b[39mand\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m ioargs\u001b[39m.\u001b[39mmode:\n\u001b[1;32m    858\u001b[0m         \u001b[39m# Encoding\u001b[39;00m\n\u001b[0;32m--> 859\u001b[0m         handle \u001b[39m=\u001b[39m \u001b[39mopen\u001b[39;49m(\n\u001b[1;32m    860\u001b[0m             handle,\n\u001b[1;32m    861\u001b[0m             ioargs\u001b[39m.\u001b[39;49mmode,\n\u001b[1;32m    862\u001b[0m             encoding\u001b[39m=\u001b[39;49mioargs\u001b[39m.\u001b[39;49mencoding,\n\u001b[1;32m    863\u001b[0m             errors\u001b[39m=\u001b[39;49merrors,\n\u001b[1;32m    864\u001b[0m             newline\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39m\"\u001b[39;49m,\n\u001b[1;32m    865\u001b[0m         )\n\u001b[1;32m    866\u001b[0m     \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    867\u001b[0m         \u001b[39m# Binary mode\u001b[39;00m\n\u001b[1;32m    868\u001b[0m         handle \u001b[39m=\u001b[39m \u001b[39mopen\u001b[39m(handle, ioargs\u001b[39m.\u001b[39mmode)\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'Discord-Analysis.csv'"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('Discord-Analysis.csv')\n",
    "df2 = df.sort_values(by=\"6-Months\",ascending=False)\n",
    "df2.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      Month\n",
      "0          emoji copy paste\n",
      "1      emoji copy and paste\n",
      "2                emoji copy\n",
      "3                   discord\n",
      "4            font generator\n",
      "..                      ...\n",
      "521   hogwarts legacy steam\n",
      "522  steam winter sale 2022\n",
      "523     steam deck giveaway\n",
      "524            steam replay\n",
      "525       steam replay 2022\n",
      "\n",
      "[526 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "df_12M = df.iloc[:,-16:-4]\n",
    "df_Keywords = df.iloc[:, 1:2]\n",
    "df_Sum = df.iloc[:, -1:]\n",
    "df_6M = df.iloc[:, -4:-3]\n",
    "df_3M = df.iloc[:, -3:-2]\n",
    "df_1M = df.iloc[:, -2:-1]\n",
    "print(df_Keywords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def df2arr(df):\n",
    "    arr = df.to_numpy()\n",
    "    list1 = []\n",
    "    for i in arr:\n",
    "        for j in i:\n",
    "            list1.append(j)\n",
    "    return list1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>90.25</td>\n",
       "      <td>94.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.75</td>\n",
       "      <td>91.75</td>\n",
       "      <td>91.8</td>\n",
       "      <td>93.50</td>\n",
       "      <td>96.00</td>\n",
       "      <td>95.4</td>\n",
       "      <td>95.50</td>\n",
       "      <td>87.75</td>\n",
       "      <td>84.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>86.25</td>\n",
       "      <td>93.5</td>\n",
       "      <td>93.4</td>\n",
       "      <td>93.50</td>\n",
       "      <td>91.25</td>\n",
       "      <td>90.8</td>\n",
       "      <td>93.50</td>\n",
       "      <td>95.50</td>\n",
       "      <td>94.4</td>\n",
       "      <td>91.50</td>\n",
       "      <td>82.75</td>\n",
       "      <td>79.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>87.75</td>\n",
       "      <td>93.0</td>\n",
       "      <td>90.4</td>\n",
       "      <td>91.00</td>\n",
       "      <td>90.75</td>\n",
       "      <td>89.0</td>\n",
       "      <td>90.75</td>\n",
       "      <td>93.50</td>\n",
       "      <td>92.2</td>\n",
       "      <td>92.75</td>\n",
       "      <td>85.25</td>\n",
       "      <td>84.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>94.00</td>\n",
       "      <td>85.5</td>\n",
       "      <td>82.6</td>\n",
       "      <td>82.00</td>\n",
       "      <td>85.50</td>\n",
       "      <td>87.6</td>\n",
       "      <td>87.75</td>\n",
       "      <td>91.25</td>\n",
       "      <td>90.0</td>\n",
       "      <td>86.25</td>\n",
       "      <td>96.75</td>\n",
       "      <td>92.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>81.50</td>\n",
       "      <td>80.5</td>\n",
       "      <td>82.8</td>\n",
       "      <td>80.75</td>\n",
       "      <td>87.50</td>\n",
       "      <td>87.6</td>\n",
       "      <td>90.25</td>\n",
       "      <td>90.75</td>\n",
       "      <td>93.4</td>\n",
       "      <td>97.00</td>\n",
       "      <td>96.75</td>\n",
       "      <td>91.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   2022-08  2022-09  2022-10  2022-11  2022-12  2023-01  2023-02  2023-03  \\\n",
       "0    90.25     94.0     93.0    93.75    91.75     91.8    93.50    96.00   \n",
       "1    86.25     93.5     93.4    93.50    91.25     90.8    93.50    95.50   \n",
       "2    87.75     93.0     90.4    91.00    90.75     89.0    90.75    93.50   \n",
       "3    94.00     85.5     82.6    82.00    85.50     87.6    87.75    91.25   \n",
       "4    81.50     80.5     82.8    80.75    87.50     87.6    90.25    90.75   \n",
       "\n",
       "   2023-04  2023-05  2023-06    2023-07  \n",
       "0     95.4    95.50    87.75  84.333333  \n",
       "1     94.4    91.50    82.75  79.000000  \n",
       "2     92.2    92.75    85.25  84.666667  \n",
       "3     90.0    86.25    96.75  92.000000  \n",
       "4     93.4    97.00    96.75  91.000000  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_12M.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1107.03, 1085.35, 1081.02, 1061.2, 1059.8, 1049.97, 1047.28, 1046.88, 1041.83, 1041.43, 1038.33, 1035.77, 1034.68, 1033.48, 1028.23, 1019.1, 1016.95, 1012.75, 1012.75, 1011.57, 1003.75, 1002.95, 1002.58, 1001.15, 998.07, 989.65, 985.1, 983.65, 981.33, 979.15, 978.28, 965.62, 962.03, 957.9, 955.23, 955.07, 953.67, 951.32, 950.45, 949.75, 948.67, 947.92, 947.7, 942.95, 939.48, 937.83, 937.42, 935.85, 929.67, 929.25, 922.22, 921.03, 917.48, 912.05, 911.88, 908.73, 903.92, 902.95, 901.7, 899.17, 898.7, 896.77, 896.22, 896.18, 895.53, 890.6, 886.4, 886.02, 884.23, 881.53, 878.85, 877.52, 872.48, 872.2, 870.85, 867.22, 866.58, 866.1, 866.08, 865.92, 865.72, 865.03, 861.55, 861.0, 859.05, 857.03, 855.27, 854.58, 851.95, 848.72, 847.1, 846.37, 846.13, 844.8, 843.05, 842.68, 841.8, 841.53, 838.93, 829.95, 826.27, 826.02, 824.88, 824.68, 819.72, 819.5, 819.35, 819.02, 817.1, 810.68, 806.92, 806.78, 806.52, 806.0, 805.22, 804.03, 802.8, 801.15, 799.82, 798.38, 797.05, 795.72, 795.55, 795.53, 795.38, 794.03, 791.22, 787.43, 787.13, 786.22, 785.65, 784.3, 783.12, 782.27, 781.63, 780.3, 777.57, 777.45, 775.33, 775.0, 770.57, 769.35, 768.4, 767.53, 767.53, 767.33, 760.52, 759.38, 758.17, 757.83, 755.37, 755.05, 751.88, 748.18, 747.15, 746.4, 745.15, 743.78, 742.08, 741.1, 739.45, 738.05, 735.78, 733.13, 731.45, 730.6, 729.03, 725.03, 722.57, 721.92, 717.37, 714.55, 714.53, 711.85, 711.28, 710.47, 708.28, 705.15, 702.03, 698.12, 697.48, 696.9, 693.57, 693.25, 691.15, 689.08, 686.33, 682.22, 681.25, 677.18, 676.35, 674.32, 672.02, 669.83, 669.02, 668.88, 665.25, 664.4, 662.63, 660.9, 660.45, 659.92, 657.5, 657.03, 655.95, 655.42, 655.33, 652.28, 652.02, 646.13, 644.62, 644.03, 640.85, 639.83, 637.15, 636.63, 634.67, 634.12, 629.8, 629.63, 627.6, 624.03, 623.33, 621.37, 619.2, 619.2, 616.03, 610.55, 610.33, 608.42, 608.32, 608.12, 607.32, 605.13, 605.08, 602.83, 601.47, 599.08, 597.95, 593.12, 587.67, 586.37, 582.4, 579.85, 577.6, 574.88, 563.12, 562.52, 560.42, 559.23, 558.83, 555.87, 555.27, 550.5, 549.48, 547.33, 546.25, 545.75, 545.08, 544.78, 542.97, 542.12, 541.03, 539.65, 529.82, 529.8, 528.65, 527.08, 524.08, 523.48, 522.32, 519.53, 516.65, 511.82, 511.68, 509.93, 509.02, 505.42, 503.53, 498.88, 496.08, 495.68, 495.45, 493.78, 493.78, 493.23, 492.9, 491.02, 489.18, 487.78, 484.45, 484.43, 484.05, 483.45, 480.25, 479.08, 477.23, 477.2, 476.02, 474.27, 472.53, 471.38, 471.38, 465.72, 462.9, 462.25, 461.67, 459.43, 453.52, 449.62, 449.17, 448.48, 448.18, 447.15, 446.7, 443.28, 439.25, 439.1, 435.25, 429.23, 428.27, 423.67, 419.42, 418.52, 406.12, 404.02, 400.9, 400.8, 400.02, 396.97, 395.8, 394.63, 393.33, 391.72, 389.9, 387.13, 386.57, 378.83, 378.02, 378.0, 375.03, 371.02, 367.97, 367.97, 365.9, 364.88, 363.12, 363.12, 362.08, 360.25, 358.6, 357.2, 356.18, 355.4, 355.12, 351.25, 348.57, 346.55, 346.3, 346.25, 337.9, 335.35, 334.88, 332.73, 331.75, 329.3, 326.25, 321.8, 321.55, 320.43, 319.02, 318.37, 317.65, 315.7, 315.57, 314.35, 313.72, 310.5, 309.05, 306.8, 304.82, 304.58, 303.63, 303.37, 299.45, 296.03, 293.98, 292.92, 279.23, 278.45, 274.27, 271.8, 269.6, 269.22, 268.65, 267.28, 265.72, 257.17, 256.25, 253.28, 251.13, 249.72, 247.93, 245.32, 244.78, 242.5, 239.18, 235.55, 235.08, 234.5, 234.35, 234.03, 232.53, 232.2, 229.08, 226.9, 223.92, 221.65, 219.58, 218.18, 217.07, 215.45, 215.13, 214.1, 213.92, 208.5, 205.25, 205.05, 203.07, 200.02, 199.55, 198.6, 198.48, 197.9, 197.35, 196.85, 196.43, 195.5, 194.82, 192.8, 191.88, 189.93, 188.88, 188.68, 188.67, 187.88, 187.02, 184.55, 184.07, 183.63, 183.4, 183.4, 183.27, 179.4, 175.65, 174.42, 174.3, 173.97, 171.33, 170.0, 165.18, 164.57, 164.35, 164.05, 163.87, 163.67, 161.33, 160.05, 160.02, 159.3, 158.88, 156.33, 156.1, 155.75, 155.35, 154.85, 153.97, 151.82, 145.0, 144.88, 143.82, 140.8, 139.63, 138.93, 138.72, 138.65, 136.82, 136.8, 136.25, 136.1, 136.08, 135.05, 132.67, 132.47, 131.5, 128.08, 126.75, 124.93, 123.95, 122.9, 122.67, 120.02, 116.55, 114.15, 113.88, 113.27, 108.13, 107.53, 106.38, 105.5, 102.95, 98.22, 95.47, 92.93, 81.63, 78.58, 68.8, 68.72, 68.17, 60.4, 55.65, 53.43, 50.55, 36.43, 31.72, 31.0]\n"
     ]
    }
   ],
   "source": [
    "arr_12M, arr_Keywords, arr_Sum, arr_6M, arr_3M, arr_1M = [],[],[],[],[],[]\n",
    "arr_12M = df2arr(df_12M)\n",
    "arr_6M = df2arr(df_6M)\n",
    "arr_3M = df2arr(df_3M)\n",
    "arr_1M = df2arr(df_1M)\n",
    "arr_Sum = df2arr(df_Sum)\n",
    "arr_Keywords = df2arr(df_Keywords)\n",
    "\n",
    "print(arr_6M)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Length of Keywords array: 526\n",
      "Length of 12M array: 6312\n",
      "Length of 6M array: 526\n",
      "Length of 3M array: 526\n",
      "Length of 1M array: 526\n",
      "Length of Sum array: 526\n"
     ]
    }
   ],
   "source": [
    "length_keywords = len(arr_Keywords)\n",
    "length_12M = len(arr_12M)\n",
    "length_6M = len(arr_6M)\n",
    "length_3M = len(arr_3M)\n",
    "length_1M = len(arr_1M)\n",
    "length_sum = len(arr_Sum)\n",
    "\n",
    "print(f\"Length of Keywords array: {length_keywords}\")\n",
    "print(f\"Length of 12M array: {length_12M}\")\n",
    "print(f\"Length of 6M array: {length_6M}\")\n",
    "print(f\"Length of 3M array: {length_3M}\")\n",
    "print(f\"Length of 1M array: {length_1M}\")\n",
    "print(f\"Length of Sum array: {length_sum}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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4.25, 5.4, 23.0, 61.0, 17.666666666666668, 0.0, 5.5, 15.2, 0.0, 25.0, 18.0, 0.0, 27.75, 12.6, 0.0, 13.75, 14.666666666666666, 0.0, 24.25, 24.0, 10.0, 0.0, 12.0, 0.0, 12.25, 23.0, 26.0, 0.0, 0.0, 36.25, 11.0, 0.0, 22.75, 0.0, 0.0, 0.0, 18.75, 4.0, 9.25, 11.75, 14.333333333333334, 0.0, 39.75, 0.0, 12.75, 19.0, 0.0, 25.0, 0.0, 17.0, 13.25, 0.0, 0.0, 11.75, 14.25, 11.8, 4.25, 12.25, 0.0, 5.5, 15.75, 24.8, 7.25, 12.0, 5.333333333333333, 13.25, 13.25, 20.0, 7.25, 16.75, 24.0, 9.75, 5.25, 4.2, 10.25, 0.0, 0.0, 0.0, 20.25, 9.2, 9.0, 0.0, 11.4, 0.0, 6.5, 31.8, 13.75, 11.0, 10.0, 1.25, 1.75, 11.4, 53.25, 18.75, 12.6, 6.0, 5.75, 4.0, 2.5, 2.75, 2.6666666666666665, 2.75, 0.0, 2.8, 0.0, 8.0, 7.6, 0.0, 38.5, 11.2, 11.25, 15.25, 22.666666666666668, 2.0, 1.75, 3.2, 5.75, 66.25, 17.0, 6.0, 4.5, 2.6, 2.75, 1.75, 3.0, 12.0, 10.5, 9.4, 0.0, 18.5, 0.0, 0.0, 15.25, 0.0, 25.0, 23.5, 0.0, 0.0, 0.0, 38.0, 7.5, 14.0, 0.0, 0.0, 18.25, 7.8, 13.75, 5.25, 9.333333333333334, 0.0, 1.5, 1.2, 0.0, 3.75, 20.4, 66.0, 11.0, 0.0, 1.5, 5.25, 2.6666666666666665, 3.0, 1.25, 1.4, 33.0, 43.0, 12.2, 3.5, 2.5, 1.2, 3.0, 1.75, 2.333333333333333, 0.0, 0.0, 29.2, 11.5, 0.0, 8.6, 0.0, 19.0, 19.4, 8.0, 5.5, 6.333333333333333, 2.0, 1.0, 1.0, 0.75, 2.5, 4.4, 46.75, 20.0, 12.4, 6.0, 5.25, 4.333333333333333, 3.0, 2.75, 5.2, 5.0, 5.0, 4.2, 6.25, 40.0, 7.6, 6.5, 12.0, 8.0, 0.0, 0.0, 0.0, 5.0, 16.25, 8.6, 12.75, 5.75, 3.6, 0.0, 0.0, 51.0, 0.0, 4.5, 5.0, 9.25, 5.75, 0.0, 3.25, 28.5, 18.8, 10.5, 3.0, 9.666666666666666, 3.75, 1.25, 1.0, 1.0, 1.5, 2.0, 2.5, 4.5, 47.8, 16.75, 7.75, 5.666666666666667, 48.5, 3.5, 7.6, 19.25, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.75, 9.333333333333334, 2.0, 1.5, 0.4, 0.75, 1.5, 2.2, 2.25, 4.5, 47.2, 9.25, 4.75, 5.333333333333333, 0.0, 3.0, 2.0, 3.5, 2.75, 13.0, 13.5, 27.25, 4.0, 2.25, 4.0, 3.333333333333333, 2.0, 0.0, 0.0, 3.75, 1.25, 1.6, 5.75, 42.75, 6.2, 3.5, 2.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.0, 0.2, 0.25, 0.0, 1.6, 7.25, 47.25, 11.666666666666666, 1.5, 1.5, 3.8, 2.0, 4.25, 3.8, 2.75, 32.0, 3.4, 4.25, 5.25, 3.6666666666666665, 6.75, 0.0, 0.0, 0.0, 0.0, 14.4, 14.25, 25.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 29.0, 16.0, 0.0, 1.75, 2.25, 1.4, 0.0, 2.25, 2.0, 0.5, 0.25, 0.0, 0.25, 1.25, 4.8, 37.0, 3.75, 1.8, 1.25, 1.25, 1.3333333333333333, 0.25, 0.25, 0.6, 5.0, 41.25, 2.0, 0.5, 0.25, 0.2, 0.25, 0.0, 0.0, 0.25, 0.25, 0.0, 7.25, 27.0, 0.2, 0.25, 0.5, 0.4, 0.0, 0.0, 0.3333333333333333, 0.0, 0.0, 0.0, 0.0, 25.25, 3.0, 0.5, 0.5, 0.8, 0.5, 0.5, 0.6666666666666666, 0.25, 0.25, 0.0, 0.0, 25.25, 2.4, 0.5, 1.0, 0.6, 0.25, 0.5, 0.0]\n"
     ]
    }
   ],
   "source": [
    "print(arr_12M)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['emoji copy paste', 'emoji copy and paste', 'emoji copy', 'discord', 'font generator', 'emoji', '7zip', 'anime girl', 'gif', 'password manager', 'google account', 'maki', 'skull emoji', 'anime', 'text emoji', 'g2a', 'dyno', 'discord login', 'login discord', 'what is discord', 'patreon', 'google password manager', 'appstore', 'discord app', 'color picker', 'pintrest', 'reverse image search', 'pfp', 'python', 'linktree', 'obsolete', 'what is pfp', 'idle meaning', 'bot', 'discord web', 'eye emoji', 'pfp meaning', 'what is steam', 'steam cleaner', 'black pfp', 'soundcloud', 'star symbol', 'app store', 'nerd emoji', 'idle', 'how to delete discord', 'discord apps', 'gmail account', 'spotify download', 'custom emoji', 'stream', 'cute pfp', 'bot emoji', 'remove background from image', 'visual studio code', 'zapier', 'delete discord server', 'what is discord server', 'heart emoji', 'discord lyrics', 'what is nitro', 'emoji maker', 'discord bots', 'girl pfp', 'roblox discord', 'discord desktop', 'matching pfp', 'steam room', 'bbc meaning', 'discord server', 'bots for discord', 'discord bot', 'minecraft server', 'what does discord mean', 'hello kitty pfp', 'funny pfp', 'y2k pfp', 'heart', '10 minute mail', 'aesthetic pfp', 'hello kitty', 'anime girl pfp', 'geforce experience', 'discord servers', 'calamity', 'meme pfp', 'cool pfp', 'python discord bot', 'discord phone number', 'discord template', 'discord app download', 'resize gif', 'discord channels', 'webp to gif', 'discord emoji', 'steam engine', 'emoji discord', 'steam charts', 'discord emote', 'riot games', 'how to add bot to discord', 'manga pfp', 'discord support', 'boy pfp', 'mee6 bot discord', 'mangago', 'belligerent', 'aesthetic', 'discord developer portal', 'make a discord bot', 'gif pfp', 'discord delete account', 'mee6', 'meaning of discord', 'curseforge', 'how to delete discord server', 'how to make a discord server', 'discord boost', 'pfp anime', 'discord roles', 'bots on discord', 'capcut', 'discord role bot', 'discord kitten', 'how to make a discord bot', 'mfw meaning', 'how to make discord bot', 'best discord bots', 'find discord server', 'voice channel discord', 'gif resizer', 'how to delete youtube channel', '/pos', 'discord template server', 'how to make discord server', 'chat emoji', 'discord definition', 'conflict synonym', 'pfp discord', 'discord pfp', 'discord synonym', 'steam free games', 'steam', 'discord download', 'download discord', 'mee6 discord', 'discord emojis', 'bold text generator', 'bullet point copy and paste', 'make a discord account', 'minecraft discord', 'how to join discord server', 'vrchat', 'discord server link', 'mee6 bot', 'discord make account', 'join discord server', 'wallpaper', 'discord gif emoji', 'discord server names', 'discord release date', 'how to use discord', 'valorant download', 'zesty meaning', 'emoji for discord', 'discord status', 'how to delete discord account', 'what is a discord server', 'steam install', 'cat pfp', 'xbox cloud gaming', 'roblox support', 'carl bot', 'discord font generator', 'discord emoji server', 'tiktok pfp', 'emoji discord server', 'steam deck games', 'steam link', 'minecraft discord server', 'discord roles bot', 'best steam deck games', 'steam deck', 'discord names', 'steam controller', 'emoji servers discord', 'discord chat', 'discord bot commands', 'emudeck steam deck', 'how to add bots to discord', 'steam store', 'ps remote play', 'stream xbox to discord', 'icl meaning', 'blox fruits discord', 'twitch.tv/activate', 'what is nitro discord', 'steam mop', 'discord tos', 'xbox', 'dyno discord bot', 'discord emoji maker', 'discord new account', 'steam account', 'goofy pfp', 'steam games', 'steam download', 'haughty eyes', 'youtube app', 'xbox app', 'emudeck', 'nsfw meaning', 'discord xbox series x', 'roblox discord server', 'destitute', 'music bot for discord', 'midjourney ai', 'xbox game pass', 'free nitro', 'music bot', 'hello kitty matching pfp', 'discord app mac', 'playstation', 'best steam games', 'carl bot discord', 'discord carl bot', 'dyno bot', 'discord bots mee6', 'what is discord app', 'best bots for discord', 'discord bot music', 'add bots to discord', 'discord music bot', 'blox fruit discord', 'ea app download', 'discord forum', 'cinnamoroll pfp', 'music bots for discord', 'quest app lab', 'emojis', 'discord emoji copy paste', 'disable discord account', 'nitro gift', 'discord mobile app', 'discord app store', 'jockie music', 'midjourney app', 'discord auth code', 'discord server bots', 'youtube bots', 'cn pfp', 'midjourney discord', 'xbox download', 'discord desktop app', 'discord app login', 'discord server templates', 'rizz meaning', 'discord ai bot', 'iwc meaning', 'custom emoji discord', 'midjourney', 'discord web app', 'how to make a discord account', 'blox fruits discord server', 'how to get discord nitro', 'xbox series x', 'splatoon pfp', 'blox fruit discord server', 'discord emoji bot', 'jockie music bot', 'ea app', 'refund steam', 'discord how to add bots', 'how to delete a discord account', 'xbox app for mac', 'music bots', 'round pfp', 'nitro discord free', 'ticket tool', 'create a discord account', 'denji pfp', 'discord for xbox', 'steam vr', 'xbox and discord', 'discord and xbox', 'hello kitty pfp y2k', 'add bots to discord server', 'youtube bot discord', 'youtube music bot discord', 'discord kitten meaning', 'roll20 app', 'betterdiscord', 'irc meaning', 'discord channel emojis', 'uzox', 'discord activate', 'discord xbox game pass', 'steam down', 'goofy ahh pfp', 'gift nitro discord', 'steam antitrust lawsuit', 'black', 'discord app reddit', 'cancel discord nitro', 'what is a discord account', 'nitro boost discord', 'how to make discord bots', 'discord xbox one', '/pos meaning', 'steam card', 'is discord on xbox', 'how to discord on xbox', 'discord music bots', 'bots to add to discord server', 'how to get free nitro', 'discord forum channel', 'xbox discord', 'discord on xbox', 'bat emoji', 'how to get discord on xbox', 'steam lawsuit', 'discord disabled account', 'how to cancel nitro', 'discord nitro code', 'aiode', 'pfp meaning discord', 'how to cancel discord nitro', 'discord forums', 'chatgpt app', 'how to add bots to discord server', 'ps5 stream to discord', 'discord nitro for free', 'how to get discord nitro free', 'botghost', 'chatgpt discord bot', 'ayaneo 2', 'discord server subscription', 'join discord on xbox', 'discord youtube bots', 'epic games login', 'discord app on xbox', 'ps5 discord stream', 'discord account hacked', 'discord ps4', 'how to get discord on ps4', 'nsfw discord meaning', 'discord xbox app', 'discord app xbox', 'use discord on xbox', 'chat gpt discord bot', 'discord music bot that plays youtube', 'temu discord server', 'coquette pfp', 'free discord account', 'how to join discord on xbox', 'how to use discord on xbox', 'how to use xbox discord', 'doors discord server', 'is discord on ps5', 'aiode discord bot', 'common app', 'midjourney discord server', 'stream ps5 on discord', 'nero bot discord', 'define dissension', 'discord private channel', 'discord ai chat bot', 'xbox discord nitro', 'xbox discord not working', 'discord and ps5', 'discord ai bots', 'discord for ps5', 'discord mod meaning', 'veshremy pfp', 'connect xbox to discord', 'discord music bots that support youtube', 'music bots discord 2022', 'activision account', 'femboy discord server', 'how to connect discord to xbox', 'kenny pfp', 'battle net', 'playstation discord', 'connect discord to ps5', 'cutecore pfp', 'kenny south park pfp', 'uzox bot', 'south park pfp', 'ai art generator', 'steam gift card', 'overwatch discord server', 'blox fruits discord trading server', 'steam sale', 'discord meaning in english', 'splatoon discord server', 'steam sales 2023', 'transfer discord to xbox', 'how to transfer discord call to xbox', 'packgod discord server', 'how to.use discord on ps5', 'idle meaning discord', 'discord channel ideas', 'gas app', 'discord on ps5', 'vimeo', 'uzox discord bot', 'diablo 4 discord server', 'discord there was a problem updating your account', 'music bot discord 2023', 'discord kitten server', 'transfer discord to ps5', 'messi pfp', 'discord soundboard', 'soundboard discord', 'how to join a discord call on ps5', 'how to transfer discord to xbox', 'blizzard', 'get discord on ps5', 'discord nitro trial', 'the last of us steam', 'discord music bots 2023', 'when is discord coming to ps5', 'announcement', 'multiple discord accounts mobile', 'discord music bot that plays spotify', 'midjourney bot discord', 'ps5 discord beta sign up', 'music bot discord 2022', 'how to discord ps5', 'blox fruits discord server link', 'how to add stickers to discord server on mobile', 'discord_backup_codes.txt', 'join discord on ps5', 'discord not loading on xbox', 'music bots for discord 2023', '/pos meaning discord', 'how to get on discord on ps5', 'discord ps5', 'discord in ps5', '2015 discord account', 'how to get discord on ps5', 'discord server soundboard', 'can you screen share on ps5 discord', 'oldest discord account', 'discord/activate', 'how to get discord ps5', 'discord not transferring to xbox', 'discord bots that play youtube', 'asus rog ally', 'appy discord bot', 'clyde discord bot', 'iwc meaning text discord', 'how to discord on ps5', 'how to join discord on ps5', 'music bots for discord 2022', 'how to join discord ps5', 'rog ally', 'honkai star rail discord server', 'nfl mock drafts', 'discordbots', 'how to join discord call on xbox', 'how do i add bots to my discord server', 'ps5 beta program', 'multiversus steam charts', 'https //discord.com/activate ps5', 'ps5 beta', 'xbox emulation hub discord', 'discord only showing one channel', 'discord auto emoji', 'use discord on ps5', 'discord auto emoji off', 'turn off auto emoji discord', 'destiny 2 discord bots', 'ps5 7.00 release date', 'how to set up discord on xbox', 'how to join a discord call on xbox', 'discord wont connect to xbox', 'midjourney bot', 'discord forum channel not showing', 'how to join discord from ps5', 'turn off auto emoji discord mobile 2022', 'ps5 how to use discord', 'diablo 4', 'diablo 4 steam', 'discord nitro games', 'discord app directory', 'how to use discord on ps5', 'turn off auto emoji discord mobile 2023', 'diablo 4 steam deck', 'project slayers discord server', 'how to transfer discord call to ps5', 'how to setup discord on xbox', 'miles morales pfp', 'best music bots for discord 2023', 'how to join xbox insider', 'ai image generator discord bot', 'how to turn off emoticon to emoji discord mobile', 'turn off auto emoji discord mobile', 'linking discord to ps5', 'age restricted server discord', 'god of war ragnarok steam', 'https //discord.com/activate', 'dwarf fortress steam', 'how to turn off emoticon to emoji discord', 'how to join discord call on ps5', 'ps5 beta discord', 'wednesday pfp', 'discord not showing up on xbox', 'ice spice pfp', 'discord chat ps5', 'discord server has exclamation point', 'discord pleading emoji', 'dead island 2', 'mid journey bot discord', 'dead island 2 steam', 'ps5 7.0 update', 'steam spring sale 2023', 'steam summer sale 2023', 'discord voice chat ps5', 'how do i use discord on ps5', 'nyan cat pfp', 'hogwarts legacy steam', 'steam winter sale 2022', 'steam deck giveaway', 'steam replay', 'steam replay 2022']\n"
     ]
    }
   ],
   "source": [
    "print(arr_Keywords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1107.03, 1085.35, 1081.02, 1061.2, 1059.8, 1049.97, 1047.28, 1046.88, 1041.83, 1041.43, 1038.33, 1035.77, 1034.68, 1033.48, 1028.23, 1019.1, 1016.95, 1012.75, 1012.75, 1011.57, 1003.75, 1002.95, 1002.58, 1001.15, 998.07, 989.65, 985.1, 983.65, 981.33, 979.15, 978.28, 965.62, 962.03, 957.9, 955.23, 955.07, 953.67, 951.32, 950.45, 949.75, 948.67, 947.92, 947.7, 942.95, 939.48, 937.83, 937.42, 935.85, 929.67, 929.25, 922.22, 921.03, 917.48, 912.05, 911.88, 908.73, 903.92, 902.95, 901.7, 899.17, 898.7, 896.77, 896.22, 896.18, 895.53, 890.6, 886.4, 886.02, 884.23, 881.53, 878.85, 877.52, 872.48, 872.2, 870.85, 867.22, 866.58, 866.1, 866.08, 865.92, 865.72, 865.03, 861.55, 861.0, 859.05, 857.03, 855.27, 854.58, 851.95, 848.72, 847.1, 846.37, 846.13, 844.8, 843.05, 842.68, 841.8, 841.53, 838.93, 829.95, 826.27, 826.02, 824.88, 824.68, 819.72, 819.5, 819.35, 819.02, 817.1, 810.68, 806.92, 806.78, 806.52, 806.0, 805.22, 804.03, 802.8, 801.15, 799.82, 798.38, 797.05, 795.72, 795.55, 795.53, 795.38, 794.03, 791.22, 787.43, 787.13, 786.22, 785.65, 784.3, 783.12, 782.27, 781.63, 780.3, 777.57, 777.45, 775.33, 775.0, 770.57, 769.35, 768.4, 767.53, 767.53, 767.33, 760.52, 759.38, 758.17, 757.83, 755.37, 755.05, 751.88, 748.18, 747.15, 746.4, 745.15, 743.78, 742.08, 741.1, 739.45, 738.05, 735.78, 733.13, 731.45, 730.6, 729.03, 725.03, 722.57, 721.92, 717.37, 714.55, 714.53, 711.85, 711.28, 710.47, 708.28, 705.15, 702.03, 698.12, 697.48, 696.9, 693.57, 693.25, 691.15, 689.08, 686.33, 682.22, 681.25, 677.18, 676.35, 674.32, 672.02, 669.83, 669.02, 668.88, 665.25, 664.4, 662.63, 660.9, 660.45, 659.92, 657.5, 657.03, 655.95, 655.42, 655.33, 652.28, 652.02, 646.13, 644.62, 644.03, 640.85, 639.83, 637.15, 636.63, 634.67, 634.12, 629.8, 629.63, 627.6, 624.03, 623.33, 621.37, 619.2, 619.2, 616.03, 610.55, 610.33, 608.42, 608.32, 608.12, 607.32, 605.13, 605.08, 602.83, 601.47, 599.08, 597.95, 593.12, 587.67, 586.37, 582.4, 579.85, 577.6, 574.88, 563.12, 562.52, 560.42, 559.23, 558.83, 555.87, 555.27, 550.5, 549.48, 547.33, 546.25, 545.75, 545.08, 544.78, 542.97, 542.12, 541.03, 539.65, 529.82, 529.8, 528.65, 527.08, 524.08, 523.48, 522.32, 519.53, 516.65, 511.82, 511.68, 509.93, 509.02, 505.42, 503.53, 498.88, 496.08, 495.68, 495.45, 493.78, 493.78, 493.23, 492.9, 491.02, 489.18, 487.78, 484.45, 484.43, 484.05, 483.45, 480.25, 479.08, 477.23, 477.2, 476.02, 474.27, 472.53, 471.38, 471.38, 465.72, 462.9, 462.25, 461.67, 459.43, 453.52, 449.62, 449.17, 448.48, 448.18, 447.15, 446.7, 443.28, 439.25, 439.1, 435.25, 429.23, 428.27, 423.67, 419.42, 418.52, 406.12, 404.02, 400.9, 400.8, 400.02, 396.97, 395.8, 394.63, 393.33, 391.72, 389.9, 387.13, 386.57, 378.83, 378.02, 378.0, 375.03, 371.02, 367.97, 367.97, 365.9, 364.88, 363.12, 363.12, 362.08, 360.25, 358.6, 357.2, 356.18, 355.4, 355.12, 351.25, 348.57, 346.55, 346.3, 346.25, 337.9, 335.35, 334.88, 332.73, 331.75, 329.3, 326.25, 321.8, 321.55, 320.43, 319.02, 318.37, 317.65, 315.7, 315.57, 314.35, 313.72, 310.5, 309.05, 306.8, 304.82, 304.58, 303.63, 303.37, 299.45, 296.03, 293.98, 292.92, 279.23, 278.45, 274.27, 271.8, 269.6, 269.22, 268.65, 267.28, 265.72, 257.17, 256.25, 253.28, 251.13, 249.72, 247.93, 245.32, 244.78, 242.5, 239.18, 235.55, 235.08, 234.5, 234.35, 234.03, 232.53, 232.2, 229.08, 226.9, 223.92, 221.65, 219.58, 218.18, 217.07, 215.45, 215.13, 214.1, 213.92, 208.5, 205.25, 205.05, 203.07, 200.02, 199.55, 198.6, 198.48, 197.9, 197.35, 196.85, 196.43, 195.5, 194.82, 192.8, 191.88, 189.93, 188.88, 188.68, 188.67, 187.88, 187.02, 184.55, 184.07, 183.63, 183.4, 183.4, 183.27, 179.4, 175.65, 174.42, 174.3, 173.97, 171.33, 170.0, 165.18, 164.57, 164.35, 164.05, 163.87, 163.67, 161.33, 160.05, 160.02, 159.3, 158.88, 156.33, 156.1, 155.75, 155.35, 154.85, 153.97, 151.82, 145.0, 144.88, 143.82, 140.8, 139.63, 138.93, 138.72, 138.65, 136.82, 136.8, 136.25, 136.1, 136.08, 135.05, 132.67, 132.47, 131.5, 128.08, 126.75, 124.93, 123.95, 122.9, 122.67, 120.02, 116.55, 114.15, 113.88, 113.27, 108.13, 107.53, 106.38, 105.5, 102.95, 98.22, 95.47, 92.93, 81.63, 78.58, 68.8, 68.72, 68.17, 60.4, 55.65, 53.43, 50.55, 36.43, 31.72, 31.0]\n"
     ]
    }
   ],
   "source": [
    "print(arr_6M)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'numpy.float64' object is not iterable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[97], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m arr_6M:\n\u001b[0;32m----> 2\u001b[0m     \u001b[39mfor\u001b[39;00m j \u001b[39min\u001b[39;00m i:\n\u001b[1;32m      3\u001b[0m         \u001b[39mprint\u001b[39m(j)\n",
      "\u001b[0;31mTypeError\u001b[0m: 'numpy.float64' object is not iterable"
     ]
    }
   ],
   "source": [
    "for i in arr_6M:\n",
    "    for j in i:\n",
    "        print(j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>emoji copy paste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>emoji copy and paste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>emoji copy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>discord</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>font generator</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Month\n",
       "0      emoji copy paste\n",
       "1  emoji copy and paste\n",
       "2            emoji copy\n",
       "3               discord\n",
       "4        font generator"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Keywords.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                    Month\n",
      "3                                 discord\n",
      "17                          discord login\n",
      "18                          login discord\n",
      "19                        what is discord\n",
      "23                            discord app\n",
      "..                                    ...\n",
      "510  discord server has exclamation point\n",
      "511                discord pleading emoji\n",
      "513               mid journey bot discord\n",
      "518                discord voice chat ps5\n",
      "519           how do i use discord on ps5\n",
      "\n",
      "[300 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "keyword_filter = 'discord'\n",
    "df_Keywords = df_Keywords[df_Keywords[\"Month\"].str.contains(keyword_filter, case=False)]\n",
    "print(df_Keywords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Discord-Analysis.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>Unnamed: 0</th>\n",
       "      <th>Month</th>\n",
       "      <th>2022-07</th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "      <th>Sum</th>\n",
       "      <th>6-Months</th>\n",
       "      <th>3-Months</th>\n",
       "      <th>1-Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51</td>\n",
       "      <td>discord</td>\n",
       "      <td>96.5</td>\n",
       "      <td>94.00</td>\n",
       "      <td>85.50</td>\n",
       "      <td>82.6</td>\n",
       "      <td>82.00</td>\n",
       "      <td>85.50</td>\n",
       "      <td>87.6</td>\n",
       "      <td>87.75</td>\n",
       "      <td>91.25</td>\n",
       "      <td>90.0</td>\n",
       "      <td>86.25</td>\n",
       "      <td>96.75</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>1061.20</td>\n",
       "      <td>26.80</td>\n",
       "      <td>6.00</td>\n",
       "      <td>-4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>157</td>\n",
       "      <td>discord login</td>\n",
       "      <td>99.0</td>\n",
       "      <td>94.25</td>\n",
       "      <td>82.50</td>\n",
       "      <td>82.4</td>\n",
       "      <td>85.25</td>\n",
       "      <td>84.75</td>\n",
       "      <td>82.2</td>\n",
       "      <td>84.25</td>\n",
       "      <td>77.50</td>\n",
       "      <td>78.4</td>\n",
       "      <td>84.25</td>\n",
       "      <td>87.00</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>1012.75</td>\n",
       "      <td>-9.95</td>\n",
       "      <td>21.10</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>193</td>\n",
       "      <td>login discord</td>\n",
       "      <td>99.0</td>\n",
       "      <td>94.25</td>\n",
       "      <td>82.50</td>\n",
       "      <td>82.4</td>\n",
       "      <td>85.25</td>\n",
       "      <td>84.75</td>\n",
       "      <td>82.2</td>\n",
       "      <td>84.25</td>\n",
       "      <td>77.50</td>\n",
       "      <td>78.4</td>\n",
       "      <td>84.25</td>\n",
       "      <td>87.00</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>1012.75</td>\n",
       "      <td>-9.95</td>\n",
       "      <td>21.10</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>145</td>\n",
       "      <td>what is discord</td>\n",
       "      <td>89.0</td>\n",
       "      <td>83.75</td>\n",
       "      <td>79.75</td>\n",
       "      <td>75.6</td>\n",
       "      <td>81.50</td>\n",
       "      <td>77.50</td>\n",
       "      <td>88.8</td>\n",
       "      <td>88.25</td>\n",
       "      <td>88.00</td>\n",
       "      <td>92.0</td>\n",
       "      <td>82.75</td>\n",
       "      <td>88.00</td>\n",
       "      <td>85.666667</td>\n",
       "      <td>1011.57</td>\n",
       "      <td>37.77</td>\n",
       "      <td>-11.83</td>\n",
       "      <td>-2.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>108</td>\n",
       "      <td>discord app</td>\n",
       "      <td>86.0</td>\n",
       "      <td>91.75</td>\n",
       "      <td>86.25</td>\n",
       "      <td>82.2</td>\n",
       "      <td>84.50</td>\n",
       "      <td>82.75</td>\n",
       "      <td>81.6</td>\n",
       "      <td>78.75</td>\n",
       "      <td>83.50</td>\n",
       "      <td>84.6</td>\n",
       "      <td>79.25</td>\n",
       "      <td>86.00</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>1001.15</td>\n",
       "      <td>-16.95</td>\n",
       "      <td>-1.60</td>\n",
       "      <td>-6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>158</td>\n",
       "      <td>discord web</td>\n",
       "      <td>74.5</td>\n",
       "      <td>80.00</td>\n",
       "      <td>69.50</td>\n",
       "      <td>70.4</td>\n",
       "      <td>72.25</td>\n",
       "      <td>76.25</td>\n",
       "      <td>78.0</td>\n",
       "      <td>82.75</td>\n",
       "      <td>76.75</td>\n",
       "      <td>81.0</td>\n",
       "      <td>88.25</td>\n",
       "      <td>89.75</td>\n",
       "      <td>90.333333</td>\n",
       "      <td>955.23</td>\n",
       "      <td>62.43</td>\n",
       "      <td>27.83</td>\n",
       "      <td>0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>188</td>\n",
       "      <td>how to delete discord</td>\n",
       "      <td>94.0</td>\n",
       "      <td>80.50</td>\n",
       "      <td>67.50</td>\n",
       "      <td>72.8</td>\n",
       "      <td>71.50</td>\n",
       "      <td>75.50</td>\n",
       "      <td>77.6</td>\n",
       "      <td>82.50</td>\n",
       "      <td>82.50</td>\n",
       "      <td>82.6</td>\n",
       "      <td>78.75</td>\n",
       "      <td>84.75</td>\n",
       "      <td>81.333333</td>\n",
       "      <td>937.83</td>\n",
       "      <td>47.03</td>\n",
       "      <td>-2.77</td>\n",
       "      <td>-3.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>165</td>\n",
       "      <td>discord apps</td>\n",
       "      <td>73.0</td>\n",
       "      <td>86.75</td>\n",
       "      <td>82.25</td>\n",
       "      <td>80.6</td>\n",
       "      <td>69.25</td>\n",
       "      <td>76.00</td>\n",
       "      <td>74.2</td>\n",
       "      <td>72.75</td>\n",
       "      <td>75.75</td>\n",
       "      <td>75.2</td>\n",
       "      <td>85.50</td>\n",
       "      <td>80.50</td>\n",
       "      <td>78.666667</td>\n",
       "      <td>937.42</td>\n",
       "      <td>-0.68</td>\n",
       "      <td>20.97</td>\n",
       "      <td>-1.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>45</td>\n",
       "      <td>delete discord server</td>\n",
       "      <td>68.5</td>\n",
       "      <td>78.75</td>\n",
       "      <td>60.25</td>\n",
       "      <td>65.2</td>\n",
       "      <td>72.50</td>\n",
       "      <td>79.25</td>\n",
       "      <td>75.0</td>\n",
       "      <td>76.75</td>\n",
       "      <td>79.75</td>\n",
       "      <td>73.8</td>\n",
       "      <td>80.25</td>\n",
       "      <td>85.75</td>\n",
       "      <td>76.666667</td>\n",
       "      <td>903.92</td>\n",
       "      <td>42.02</td>\n",
       "      <td>12.37</td>\n",
       "      <td>-9.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>56</td>\n",
       "      <td>what is discord server</td>\n",
       "      <td>88.0</td>\n",
       "      <td>80.50</td>\n",
       "      <td>72.00</td>\n",
       "      <td>61.2</td>\n",
       "      <td>70.25</td>\n",
       "      <td>68.50</td>\n",
       "      <td>75.8</td>\n",
       "      <td>68.25</td>\n",
       "      <td>71.50</td>\n",
       "      <td>84.2</td>\n",
       "      <td>72.25</td>\n",
       "      <td>86.50</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>902.95</td>\n",
       "      <td>46.45</td>\n",
       "      <td>26.80</td>\n",
       "      <td>5.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                   Month  2022-07  2022-08  2022-09  2022-10  \\\n",
       "3           51                 discord     96.5    94.00    85.50     82.6   \n",
       "17         157           discord login     99.0    94.25    82.50     82.4   \n",
       "18         193           login discord     99.0    94.25    82.50     82.4   \n",
       "19         145         what is discord     89.0    83.75    79.75     75.6   \n",
       "23         108             discord app     86.0    91.75    86.25     82.2   \n",
       "34         158             discord web     74.5    80.00    69.50     70.4   \n",
       "45         188   how to delete discord     94.0    80.50    67.50     72.8   \n",
       "46         165            discord apps     73.0    86.75    82.25     80.6   \n",
       "56          45   delete discord server     68.5    78.75    60.25     65.2   \n",
       "57          56  what is discord server     88.0    80.50    72.00     61.2   \n",
       "\n",
       "    2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  2023-05  2023-06  \\\n",
       "3     82.00    85.50     87.6    87.75    91.25     90.0    86.25    96.75   \n",
       "17    85.25    84.75     82.2    84.25    77.50     78.4    84.25    87.00   \n",
       "18    85.25    84.75     82.2    84.25    77.50     78.4    84.25    87.00   \n",
       "19    81.50    77.50     88.8    88.25    88.00     92.0    82.75    88.00   \n",
       "23    84.50    82.75     81.6    78.75    83.50     84.6    79.25    86.00   \n",
       "34    72.25    76.25     78.0    82.75    76.75     81.0    88.25    89.75   \n",
       "45    71.50    75.50     77.6    82.50    82.50     82.6    78.75    84.75   \n",
       "46    69.25    76.00     74.2    72.75    75.75     75.2    85.50    80.50   \n",
       "56    72.50    79.25     75.0    76.75    79.75     73.8    80.25    85.75   \n",
       "57    70.25    68.50     75.8    68.25    71.50     84.2    72.25    86.50   \n",
       "\n",
       "      2023-07      Sum  6-Months  3-Months  1-Month  \n",
       "3   92.000000  1061.20     26.80      6.00    -4.75  \n",
       "17  90.000000  1012.75     -9.95     21.10     3.00  \n",
       "18  90.000000  1012.75     -9.95     21.10     3.00  \n",
       "19  85.666667  1011.57     37.77    -11.83    -2.33  \n",
       "23  80.000000  1001.15    -16.95     -1.60    -6.00  \n",
       "34  90.333333   955.23     62.43     27.83     0.58  \n",
       "45  81.333333   937.83     47.03     -2.77    -3.42  \n",
       "46  78.666667   937.42     -0.68     20.97    -1.83  \n",
       "56  76.666667   903.92     42.02     12.37    -9.08  \n",
       "57  92.000000   902.95     46.45     26.80     5.50  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selected_keywords = 'discord'\n",
    "filtered_df = df[df[\"Month\"].str.contains(selected_keywords, case=False, na=False)]\n",
    "filtered_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Individual Words:\n",
      "emoji: 34\n",
      "copy: 5\n",
      "paste: 4\n",
      "and: 5\n",
      "discord: 297\n",
      "font: 2\n",
      "generator: 5\n",
      "7zip: 1\n",
      "anime: 4\n",
      "girl: 3\n",
      "gif: 6\n",
      "password: 2\n",
      "manager: 2\n",
      "google: 2\n",
      "account: 20\n",
      "maki: 1\n",
      "skull: 1\n",
      "text: 3\n",
      "g2a: 1\n",
      "dyno: 3\n",
      "login: 4\n",
      "what: 10\n",
      "is: 12\n",
      "patreon: 1\n",
      "appstore: 1\n",
      "app: 26\n",
      "color: 1\n",
      "picker: 1\n",
      "pintrest: 1\n",
      "reverse: 1\n",
      "image: 3\n",
      "search: 1\n",
      "pfp: 43\n",
      "python: 2\n",
      "linktree: 1\n",
      "obsolete: 1\n",
      "idle: 3\n",
      "meaning: 20\n",
      "bot: 44\n",
      "web: 2\n",
      "eye: 1\n",
      "steam: 43\n",
      "cleaner: 1\n",
      "black: 2\n",
      "soundcloud: 1\n",
      "star: 2\n",
      "symbol: 1\n",
      "store: 3\n",
      "nerd: 1\n",
      "how: 55\n",
      "to: 79\n",
      "delete: 7\n",
      "apps: 1\n",
      "gmail: 1\n",
      "spotify: 2\n",
      "download: 8\n",
      "custom: 2\n",
      "stream: 5\n",
      "cute: 1\n",
      "remove: 1\n",
      "background: 1\n",
      "from: 2\n",
      "visual: 1\n",
      "studio: 1\n",
      "code: 3\n",
      "zapier: 1\n",
      "server: 44\n",
      "heart: 2\n",
      "lyrics: 1\n",
      "nitro: 18\n",
      "maker: 2\n",
      "bots: 29\n",
      "roblox: 3\n",
      "desktop: 2\n",
      "matching: 2\n",
      "room: 1\n",
      "bbc: 1\n",
      "for: 12\n",
      "minecraft: 3\n",
      "does: 1\n",
      "mean: 1\n",
      "hello: 4\n",
      "kitty: 4\n",
      "funny: 1\n",
      "y2k: 2\n",
      "10: 1\n",
      "minute: 1\n",
      "mail: 1\n",
      "aesthetic: 2\n",
      "geforce: 1\n",
      "experience: 1\n",
      "servers: 2\n",
      "calamity: 1\n",
      "meme: 1\n",
      "cool: 1\n",
      "phone: 1\n",
      "number: 1\n",
      "template: 2\n",
      "resize: 1\n",
      "channels: 1\n",
      "webp: 1\n",
      "engine: 1\n",
      "charts: 2\n",
      "emote: 1\n",
      "riot: 1\n",
      "games: 8\n",
      "add: 9\n",
      "manga: 1\n",
      "support: 3\n",
      "boy: 1\n",
      "mee6: 5\n",
      "mangago: 1\n",
      "belligerent: 1\n",
      "developer: 1\n",
      "portal: 1\n",
      "make: 9\n",
      "a: 12\n",
      "of: 3\n",
      "curseforge: 1\n",
      "boost: 2\n",
      "roles: 2\n",
      "on: 35\n",
      "capcut: 1\n",
      "role: 1\n",
      "kitten: 3\n",
      "mfw: 1\n",
      "best: 5\n",
      "find: 1\n",
      "voice: 2\n",
      "channel: 8\n",
      "resizer: 1\n",
      "youtube: 9\n",
      "pos: 3\n",
      "chat: 6\n",
      "definition: 1\n",
      "conflict: 1\n",
      "synonym: 2\n",
      "free: 7\n",
      "emojis: 3\n",
      "bold: 1\n",
      "bullet: 1\n",
      "point: 2\n",
      "join: 13\n",
      "vrchat: 1\n",
      "link: 3\n",
      "wallpaper: 1\n",
      "names: 2\n",
      "release: 2\n",
      "date: 2\n",
      "use: 9\n",
      "valorant: 1\n",
      "zesty: 1\n",
      "status: 1\n",
      "install: 1\n",
      "cat: 2\n",
      "xbox: 44\n",
      "cloud: 1\n",
      "gaming: 1\n",
      "carl: 3\n",
      "tiktok: 1\n",
      "deck: 6\n",
      "controller: 1\n",
      "commands: 1\n",
      "emudeck: 2\n",
      "ps: 1\n",
      "remote: 1\n",
      "play: 2\n",
      "icl: 1\n",
      "blox: 6\n",
      "fruits: 4\n",
      "twitch: 1\n",
      "tv: 1\n",
      "activate: 5\n",
      "mop: 1\n",
      "tos: 1\n",
      "new: 1\n",
      "goofy: 2\n",
      "haughty: 1\n",
      "eyes: 1\n",
      "nsfw: 2\n",
      "series: 2\n",
      "x: 2\n",
      "destitute: 1\n",
      "music: 20\n",
      "midjourney: 7\n",
      "ai: 6\n",
      "game: 2\n",
      "pass: 2\n",
      "mac: 2\n",
      "playstation: 2\n",
      "fruit: 2\n",
      "ea: 2\n",
      "forum: 3\n",
      "cinnamoroll: 1\n",
      "quest: 1\n",
      "lab: 1\n",
      "disable: 1\n",
      "gift: 3\n",
      "mobile: 7\n",
      "jockie: 2\n",
      "auth: 1\n",
      "cn: 1\n",
      "templates: 1\n",
      "rizz: 1\n",
      "iwc: 2\n",
      "get: 9\n",
      "splatoon: 2\n",
      "refund: 1\n",
      "round: 1\n",
      "ticket: 1\n",
      "tool: 1\n",
      "create: 1\n",
      "denji: 1\n",
      "vr: 1\n",
      "roll20: 1\n",
      "betterdiscord: 1\n",
      "irc: 1\n",
      "uzox: 3\n",
      "down: 1\n",
      "ahh: 1\n",
      "antitrust: 1\n",
      "lawsuit: 2\n",
      "reddit: 1\n",
      "cancel: 3\n",
      "one: 2\n",
      "card: 2\n",
      "bat: 1\n",
      "disabled: 1\n",
      "aiode: 2\n",
      "forums: 1\n",
      "chatgpt: 2\n",
      "ps5: 41\n",
      "botghost: 1\n",
      "ayaneo: 1\n",
      "2: 4\n",
      "subscription: 1\n",
      "epic: 1\n",
      "hacked: 1\n",
      "ps4: 2\n",
      "gpt: 1\n",
      "that: 4\n",
      "plays: 2\n",
      "temu: 1\n",
      "coquette: 1\n",
      "doors: 1\n",
      "common: 1\n",
      "nero: 1\n",
      "define: 1\n",
      "dissension: 1\n",
      "private: 1\n",
      "not: 5\n",
      "working: 1\n",
      "mod: 1\n",
      "veshremy: 1\n",
      "connect: 4\n",
      "2022: 6\n",
      "activision: 1\n",
      "femboy: 1\n",
      "kenny: 2\n",
      "battle: 1\n",
      "net: 1\n",
      "cutecore: 1\n",
      "south: 2\n",
      "park: 2\n",
      "art: 1\n",
      "overwatch: 1\n",
      "trading: 1\n",
      "sale: 4\n",
      "in: 2\n",
      "english: 1\n",
      "sales: 1\n",
      "2023: 8\n",
      "transfer: 5\n",
      "call: 6\n",
      "packgod: 1\n",
      "ideas: 1\n",
      "gas: 1\n",
      "vimeo: 1\n",
      "diablo: 4\n",
      "4: 4\n",
      "there: 1\n",
      "was: 1\n",
      "problem: 1\n",
      "updating: 1\n",
      "your: 1\n",
      "messi: 1\n",
      "soundboard: 3\n",
      "blizzard: 1\n",
      "trial: 1\n",
      "the: 1\n",
      "last: 1\n",
      "us: 1\n",
      "when: 1\n",
      "coming: 1\n",
      "announcement: 1\n",
      "multiple: 1\n",
      "accounts: 1\n",
      "beta: 4\n",
      "sign: 1\n",
      "up: 3\n",
      "stickers: 1\n",
      "discord_backup_codes: 1\n",
      "txt: 1\n",
      "loading: 1\n",
      "2015: 1\n",
      "can: 1\n",
      "you: 1\n",
      "screen: 1\n",
      "share: 1\n",
      "oldest: 1\n",
      "transferring: 1\n",
      "asus: 1\n",
      "rog: 2\n",
      "ally: 2\n",
      "appy: 1\n",
      "clyde: 1\n",
      "honkai: 1\n",
      "rail: 1\n",
      "nfl: 1\n",
      "mock: 1\n",
      "drafts: 1\n",
      "discordbots: 1\n",
      "do: 2\n",
      "i: 2\n",
      "my: 1\n",
      "program: 1\n",
      "multiversus: 1\n",
      "https: 2\n",
      "com: 2\n",
      "emulation: 1\n",
      "hub: 1\n",
      "only: 1\n",
      "showing: 3\n",
      "auto: 6\n",
      "off: 7\n",
      "turn: 6\n",
      "destiny: 1\n",
      "7: 2\n",
      "00: 1\n",
      "set: 1\n",
      "wont: 1\n",
      "directory: 1\n",
      "project: 1\n",
      "slayers: 1\n",
      "setup: 1\n",
      "miles: 1\n",
      "morales: 1\n",
      "insider: 1\n",
      "emoticon: 2\n",
      "linking: 1\n",
      "age: 1\n",
      "restricted: 1\n",
      "god: 1\n",
      "war: 1\n",
      "ragnarok: 1\n",
      "dwarf: 1\n",
      "fortress: 1\n",
      "wednesday: 1\n",
      "ice: 1\n",
      "spice: 1\n",
      "has: 1\n",
      "exclamation: 1\n",
      "pleading: 1\n",
      "dead: 2\n",
      "island: 2\n",
      "mid: 1\n",
      "journey: 1\n",
      "0: 1\n",
      "update: 1\n",
      "spring: 1\n",
      "summer: 1\n",
      "nyan: 1\n",
      "hogwarts: 1\n",
      "legacy: 1\n",
      "winter: 1\n",
      "giveaway: 1\n",
      "replay: 2\n",
      "\n",
      "Bigrams:\n",
      "emoji copy: 4\n",
      "copy paste: 2\n",
      "paste emoji: 2\n",
      "copy and: 2\n",
      "and paste: 2\n",
      "copy discord: 1\n",
      "discord font: 2\n",
      "font generator: 2\n",
      "generator emoji: 1\n",
      "emoji 7zip: 1\n",
      "7zip anime: 1\n",
      "anime girl: 2\n",
      "girl gif: 1\n",
      "gif password: 1\n",
      "password manager: 2\n",
      "manager google: 1\n",
      "google account: 1\n",
      "account maki: 1\n",
      "maki skull: 1\n",
      "skull emoji: 1\n",
      "emoji anime: 1\n",
      "anime text: 1\n",
      "text emoji: 1\n",
      "emoji g2a: 1\n",
      "g2a dyno: 1\n",
      "dyno discord: 2\n",
      "discord login: 1\n",
      "login login: 1\n",
      "login discord: 3\n",
      "discord what: 1\n",
      "what is: 9\n",
      "is discord: 6\n",
      "discord patreon: 1\n",
      "patreon google: 1\n",
      "google password: 1\n",
      "manager appstore: 1\n",
      "appstore discord: 1\n",
      "discord app: 10\n",
      "app color: 1\n",
      "color picker: 1\n",
      "picker pintrest: 1\n",
      "pintrest reverse: 1\n",
      "reverse image: 1\n",
      "image search: 1\n",
      "search pfp: 1\n",
      "pfp python: 2\n",
      "python linktree: 1\n",
      "linktree obsolete: 1\n",
      "obsolete what: 1\n",
      "is pfp: 1\n",
      "pfp idle: 1\n",
      "idle meaning: 2\n",
      "meaning bot: 1\n",
      "bot discord: 18\n",
      "discord web: 2\n",
      "web eye: 1\n",
      "eye emoji: 1\n",
      "emoji pfp: 1\n",
      "pfp meaning: 2\n",
      "meaning what: 1\n",
      "is steam: 1\n",
      "steam steam: 2\n",
      "steam cleaner: 1\n",
      "cleaner black: 1\n",
      "black pfp: 1\n",
      "pfp soundcloud: 1\n",
      "soundcloud star: 1\n",
      "star symbol: 1\n",
      "symbol app: 1\n",
      "app store: 2\n",
      "store nerd: 1\n",
      "nerd emoji: 1\n",
      "emoji idle: 1\n",
      "idle how: 1\n",
      "how to: 53\n",
      "to delete: 5\n",
      "delete discord: 4\n",
      "discord discord: 17\n",
      "discord apps: 1\n",
      "apps gmail: 1\n",
      "gmail account: 1\n",
      "account spotify: 1\n",
      "spotify download: 1\n",
      "download custom: 1\n",
      "custom emoji: 2\n",
      "emoji stream: 1\n",
      "stream cute: 1\n",
      "cute pfp: 1\n",
      "pfp bot: 1\n",
      "bot emoji: 1\n",
      "emoji remove: 1\n",
      "remove background: 1\n",
      "background from: 1\n",
      "from image: 1\n",
      "image visual: 1\n",
      "visual studio: 1\n",
      "studio code: 1\n",
      "code zapier: 1\n",
      "zapier delete: 1\n",
      "discord server: 38\n",
      "server what: 2\n",
      "server heart: 1\n",
      "heart emoji: 1\n",
      "emoji discord: 12\n",
      "discord lyrics: 1\n",
      "lyrics what: 1\n",
      "is nitro: 2\n",
      "nitro emoji: 1\n",
      "emoji maker: 2\n",
      "maker discord: 2\n",
      "discord bots: 6\n",
      "bots girl: 1\n",
      "girl pfp: 2\n",
      "pfp roblox: 1\n",
      "roblox discord: 2\n",
      "discord desktop: 2\n",
      "desktop matching: 1\n",
      "matching pfp: 2\n",
      "pfp steam: 2\n",
      "steam room: 1\n",
      "room bbc: 1\n",
      "bbc meaning: 1\n",
      "meaning discord: 8\n",
      "server bots: 2\n",
      "bots for: 6\n",
      "for discord: 8\n",
      "discord bot: 15\n",
      "bot minecraft: 1\n",
      "minecraft server: 1\n",
      "what does: 1\n",
      "does discord: 1\n",
      "discord mean: 1\n",
      "mean hello: 1\n",
      "hello kitty: 4\n",
      "kitty pfp: 2\n",
      "pfp funny: 1\n",
      "funny pfp: 1\n",
      "pfp y2k: 2\n",
      "y2k pfp: 1\n",
      "pfp heart: 1\n",
      "heart 10: 1\n",
      "10 minute: 1\n",
      "minute mail: 1\n",
      "mail aesthetic: 1\n",
      "aesthetic pfp: 1\n",
      "pfp hello: 1\n",
      "kitty anime: 1\n",
      "pfp geforce: 1\n",
      "geforce experience: 1\n",
      "experience discord: 1\n",
      "discord servers: 1\n",
      "servers calamity: 1\n",
      "calamity meme: 1\n",
      "meme pfp: 1\n",
      "pfp cool: 1\n",
      "cool pfp: 1\n",
      "python discord: 1\n",
      "discord phone: 1\n",
      "phone number: 1\n",
      "number discord: 1\n",
      "discord template: 2\n",
      "template discord: 1\n",
      "app download: 2\n",
      "download resize: 1\n",
      "resize gif: 1\n",
      "gif discord: 2\n",
      "discord channels: 1\n",
      "channels webp: 1\n",
      "webp to: 1\n",
      "to gif: 1\n",
      "discord emoji: 5\n",
      "emoji steam: 1\n",
      "steam engine: 1\n",
      "engine emoji: 1\n",
      "discord steam: 4\n",
      "steam charts: 2\n",
      "charts discord: 1\n",
      "discord emote: 1\n",
      "emote riot: 1\n",
      "riot games: 1\n",
      "games how: 1\n",
      "to add: 6\n",
      "add bot: 1\n",
      "bot to: 1\n",
      "to discord: 13\n",
      "discord manga: 1\n",
      "manga pfp: 1\n",
      "pfp discord: 9\n",
      "discord support: 1\n",
      "support boy: 1\n",
      "boy pfp: 1\n",
      "pfp mee6: 1\n",
      "mee6 bot: 2\n",
      "discord mangago: 1\n",
      "mangago belligerent: 1\n",
      "belligerent aesthetic: 1\n",
      "aesthetic discord: 1\n",
      "discord developer: 1\n",
      "developer portal: 1\n",
      "portal make: 1\n",
      "make a: 5\n",
      "a discord: 11\n",
      "bot gif: 1\n",
      "gif pfp: 1\n",
      "discord delete: 1\n",
      "delete account: 1\n",
      "account mee6: 1\n",
      "mee6 meaning: 1\n",
      "meaning of: 1\n",
      "of discord: 1\n",
      "discord curseforge: 1\n",
      "curseforge how: 1\n",
      "server how: 7\n",
      "to make: 6\n",
      "server discord: 5\n",
      "discord boost: 1\n",
      "boost pfp: 1\n",
      "pfp anime: 1\n",
      "anime discord: 1\n",
      "discord roles: 2\n",
      "roles bots: 1\n",
      "bots on: 1\n",
      "on discord: 3\n",
      "discord capcut: 1\n",
      "capcut discord: 1\n",
      "discord role: 1\n",
      "role bot: 1\n",
      "discord kitten: 3\n",
      "kitten how: 1\n",
      "bot mfw: 1\n",
      "mfw meaning: 1\n",
      "meaning how: 1\n",
      "make discord: 3\n",
      "bot best: 2\n",
      "best discord: 1\n",
      "bots find: 1\n",
      "find discord: 1\n",
      "server voice: 1\n",
      "voice channel: 1\n",
      "channel discord: 3\n",
      "discord gif: 2\n",
      "gif resizer: 1\n",
      "resizer how: 1\n",
      "delete youtube: 1\n",
      "youtube channel: 1\n",
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      "discord synonym: 1\n",
      "synonym steam: 1\n",
      "steam free: 1\n",
      "free games: 1\n",
      "games steam: 4\n",
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      "discord download: 1\n",
      "download download: 1\n",
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      "generator bullet: 1\n",
      "bullet point: 1\n",
      "point copy: 1\n",
      "paste make: 1\n",
      "discord account: 11\n",
      "account minecraft: 1\n",
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      "to join: 10\n",
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      "server link: 2\n",
      "link mee6: 1\n",
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      "make account: 1\n",
      "account join: 1\n",
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      "names discord: 1\n",
      "discord release: 1\n",
      "release date: 2\n",
      "date how: 2\n",
      "to use: 6\n",
      "use discord: 8\n",
      "discord valorant: 1\n",
      "valorant download: 1\n",
      "download zesty: 1\n",
      "zesty meaning: 1\n",
      "meaning emoji: 1\n",
      "emoji for: 1\n",
      "discord status: 1\n",
      "status how: 1\n",
      "account what: 1\n",
      "is a: 2\n",
      "server steam: 4\n",
      "steam install: 1\n",
      "install cat: 1\n",
      "cat pfp: 2\n",
      "pfp xbox: 1\n",
      "xbox cloud: 1\n",
      "cloud gaming: 1\n",
      "gaming roblox: 1\n",
      "roblox support: 1\n",
      "support carl: 1\n",
      "carl bot: 3\n",
      "generator discord: 2\n",
      "emoji server: 1\n",
      "server tiktok: 1\n",
      "tiktok pfp: 1\n",
      "pfp emoji: 1\n",
      "steam deck: 6\n",
      "deck games: 2\n",
      "steam link: 1\n",
      "link minecraft: 1\n",
      "roles bot: 1\n",
      "best steam: 2\n",
      "deck discord: 1\n",
      "discord names: 1\n",
      "names steam: 1\n",
      "steam controller: 1\n",
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      "chat discord: 1\n",
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      "deck how: 1\n",
      "add bots: 6\n",
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      "steam store: 1\n",
      "store ps: 1\n",
      "ps remote: 1\n",
      "remote play: 1\n",
      "play stream: 1\n",
      "stream xbox: 1\n",
      "xbox to: 2\n",
      "discord icl: 1\n",
      "icl meaning: 1\n",
      "meaning blox: 1\n",
      "blox fruits: 4\n",
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      "discord twitch: 1\n",
      "twitch tv: 1\n",
      "tv activate: 1\n",
      "activate what: 1\n",
      "nitro discord: 6\n",
      "steam mop: 1\n",
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      "tos xbox: 1\n",
      "xbox dyno: 1\n",
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      "new account: 1\n",
      "account steam: 1\n",
      "steam account: 1\n",
      "account goofy: 1\n",
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      "steam games: 2\n",
      "steam download: 1\n",
      "download haughty: 1\n",
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      "eyes youtube: 1\n",
      "youtube app: 1\n",
      "app xbox: 2\n",
      "xbox app: 3\n",
      "app emudeck: 1\n",
      "emudeck nsfw: 1\n",
      "nsfw meaning: 1\n",
      "discord xbox: 5\n",
      "xbox series: 2\n",
      "series x: 2\n",
      "x roblox: 1\n",
      "server destitute: 1\n",
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      "bot for: 1\n",
      "discord midjourney: 2\n",
      "midjourney ai: 1\n",
      "ai xbox: 1\n",
      "xbox game: 2\n",
      "game pass: 2\n",
      "pass free: 1\n",
      "free nitro: 2\n",
      "nitro music: 1\n",
      "bot hello: 1\n",
      "kitty matching: 1\n",
      "app mac: 1\n",
      "mac playstation: 1\n",
      "playstation best: 1\n",
      "games carl: 1\n",
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      "bot dyno: 1\n",
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      "bots mee6: 1\n",
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      "app best: 1\n",
      "best bots: 1\n",
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      "bot blox: 1\n",
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      "discord forum: 3\n",
      "forum cinnamoroll: 1\n",
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      "music bots: 9\n",
      "discord quest: 1\n",
      "quest app: 1\n",
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      "lab emojis: 1\n",
      "emojis discord: 1\n",
      "paste disable: 1\n",
      "disable discord: 1\n",
      "account nitro: 2\n",
      "nitro gift: 1\n",
      "gift discord: 1\n",
      "discord mobile: 5\n",
      "mobile app: 1\n",
      "app discord: 5\n",
      "store jockie: 1\n",
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      "music midjourney: 1\n",
      "midjourney app: 1\n",
      "discord auth: 1\n",
      "auth code: 1\n",
      "code discord: 1\n",
      "bots youtube: 1\n",
      "youtube bots: 2\n",
      "bots cn: 1\n",
      "cn pfp: 1\n",
      "pfp midjourney: 1\n",
      "midjourney discord: 3\n",
      "xbox download: 1\n",
      "desktop app: 1\n",
      "app login: 1\n",
      "server templates: 1\n",
      "templates rizz: 1\n",
      "rizz meaning: 1\n",
      "discord ai: 3\n",
      "ai bot: 1\n",
      "bot iwc: 2\n",
      "iwc meaning: 2\n",
      "meaning custom: 1\n",
      "web app: 1\n",
      "app how: 2\n",
      "account blox: 1\n",
      "to get: 8\n",
      "get discord: 7\n",
      "discord nitro: 9\n",
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      "x splatoon: 1\n",
      "splatoon pfp: 1\n",
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      "emoji bot: 1\n",
      "bot jockie: 1\n",
      "bot ea: 1\n",
      "app refund: 1\n",
      "refund steam: 1\n",
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      "delete a: 1\n",
      "account xbox: 1\n",
      "app for: 1\n",
      "for mac: 1\n",
      "mac music: 1\n",
      "bots round: 1\n",
      "round pfp: 1\n",
      "pfp nitro: 1\n",
      "discord free: 1\n",
      "free ticket: 1\n",
      "ticket tool: 1\n",
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      "create a: 1\n",
      "account denji: 1\n",
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      "discord for: 2\n",
      "for xbox: 1\n",
      "xbox steam: 2\n",
      "steam vr: 1\n",
      "vr xbox: 1\n",
      "xbox and: 1\n",
      "and discord: 1\n",
      "discord and: 2\n",
      "and xbox: 1\n",
      "xbox hello: 1\n",
      "y2k add: 1\n",
      "server youtube: 1\n",
      "youtube bot: 1\n",
      "discord youtube: 2\n",
      "youtube music: 2\n",
      "kitten meaning: 1\n",
      "meaning roll20: 1\n",
      "roll20 app: 1\n",
      "app betterdiscord: 1\n",
      "betterdiscord irc: 1\n",
      "irc meaning: 1\n",
      "discord channel: 2\n",
      "channel emojis: 1\n",
      "emojis uzox: 1\n",
      "uzox discord: 2\n",
      "discord activate: 2\n",
      "activate discord: 1\n",
      "pass steam: 1\n",
      "steam down: 1\n",
      "down goofy: 1\n",
      "goofy ahh: 1\n",
      "ahh pfp: 1\n",
      "pfp gift: 1\n",
      "gift nitro: 1\n",
      "steam antitrust: 1\n",
      "antitrust lawsuit: 1\n",
      "lawsuit black: 1\n",
      "black discord: 1\n",
      "app reddit: 1\n",
      "reddit cancel: 1\n",
      "cancel discord: 2\n",
      "nitro what: 1\n",
      "nitro boost: 1\n",
      "boost discord: 1\n",
      "bots discord: 3\n",
      "xbox one: 1\n",
      "one pos: 1\n",
      "pos meaning: 2\n",
      "meaning steam: 1\n",
      "steam card: 1\n",
      "card is: 1\n",
      "discord on: 23\n",
      "on xbox: 15\n",
      "xbox how: 6\n",
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      "add to: 1\n",
      "get free: 1\n",
      "forum channel: 2\n",
      "channel xbox: 1\n",
      "xbox bat: 1\n",
      "bat emoji: 1\n",
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      "steam lawsuit: 1\n",
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      "discord disabled: 1\n",
      "disabled account: 1\n",
      "account how: 3\n",
      "to cancel: 2\n",
      "cancel nitro: 1\n",
      "nitro code: 1\n",
      "code aiode: 1\n",
      "aiode pfp: 1\n",
      "discord forums: 1\n",
      "forums chatgpt: 1\n",
      "chatgpt app: 1\n",
      "server ps5: 2\n",
      "ps5 stream: 1\n",
      "stream to: 1\n",
      "nitro for: 1\n",
      "for free: 1\n",
      "free how: 1\n",
      "nitro free: 1\n",
      "free botghost: 1\n",
      "botghost chatgpt: 1\n",
      "chatgpt discord: 1\n",
      "bot ayaneo: 1\n",
      "ayaneo 2: 1\n",
      "2 discord: 2\n",
      "server subscription: 1\n",
      "subscription join: 1\n",
      "bots epic: 1\n",
      "epic games: 1\n",
      "games login: 1\n",
      "app on: 1\n",
      "xbox ps5: 1\n",
      "ps5 discord: 13\n",
      "discord stream: 1\n",
      "stream discord: 1\n",
      "account hacked: 1\n",
      "hacked discord: 1\n",
      "discord ps4: 1\n",
      "ps4 how: 1\n",
      "on ps4: 1\n",
      "ps4 nsfw: 1\n",
      "nsfw discord: 1\n",
      "discord meaning: 2\n",
      "xbox use: 1\n",
      "xbox chat: 1\n",
      "chat gpt: 1\n",
      "gpt discord: 1\n",
      "bot that: 2\n",
      "that plays: 2\n",
      "plays youtube: 1\n",
      "youtube temu: 1\n",
      "temu discord: 1\n",
      "server coquette: 1\n",
      "coquette pfp: 1\n",
      "pfp free: 1\n",
      "free discord: 1\n",
      "use xbox: 1\n",
      "discord doors: 1\n",
      "doors discord: 1\n",
      "server is: 1\n",
      "on ps5: 15\n",
      "ps5 aiode: 1\n",
      "aiode discord: 1\n",
      "bot common: 1\n",
      "common app: 1\n",
      "app midjourney: 1\n",
      "server stream: 1\n",
      "stream ps5: 1\n",
      "ps5 on: 1\n",
      "discord nero: 1\n",
      "nero bot: 1\n",
      "discord define: 1\n",
      "define dissension: 1\n",
      "dissension discord: 1\n",
      "discord private: 1\n",
      "private channel: 1\n",
      "ai chat: 1\n",
      "chat bot: 1\n",
      "bot xbox: 1\n",
      "discord not: 4\n",
      "not working: 1\n",
      "working discord: 1\n",
      "and ps5: 1\n",
      "ai bots: 1\n",
      "for ps5: 1\n",
      "discord mod: 1\n",
      "mod meaning: 1\n",
      "meaning veshremy: 1\n",
      "veshremy pfp: 1\n",
      "pfp connect: 1\n",
      "connect xbox: 1\n",
      "bots that: 2\n",
      "that support: 1\n",
      "support youtube: 1\n",
      "discord 2022: 3\n",
      "2022 activision: 1\n",
      "activision account: 1\n",
      "account femboy: 1\n",
      "femboy discord: 1\n",
      "to connect: 1\n",
      "connect discord: 2\n",
      "discord to: 6\n",
      "to xbox: 6\n",
      "xbox kenny: 1\n",
      "kenny pfp: 1\n",
      "pfp battle: 1\n",
      "battle net: 1\n",
      "net playstation: 1\n",
      "playstation discord: 1\n",
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      "to ps5: 5\n",
      "ps5 cutecore: 1\n",
      "cutecore pfp: 1\n",
      "pfp kenny: 1\n",
      "kenny south: 1\n",
      "south park: 2\n",
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      "pfp uzox: 1\n",
      "uzox bot: 1\n",
      "bot south: 1\n",
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      "ai art: 1\n",
      "art generator: 1\n",
      "generator steam: 1\n",
      "steam gift: 1\n",
      "gift card: 1\n",
      "card overwatch: 1\n",
      "overwatch discord: 1\n",
      "server blox: 1\n",
      "discord trading: 1\n",
      "trading server: 1\n",
      "steam sale: 1\n",
      "sale discord: 1\n",
      "meaning in: 1\n",
      "in english: 1\n",
      "english splatoon: 1\n",
      "splatoon discord: 1\n",
      "steam sales: 1\n",
      "sales 2023: 1\n",
      "2023 transfer: 1\n",
      "transfer discord: 5\n",
      "to transfer: 3\n",
      "discord call: 6\n",
      "call to: 2\n",
      "xbox packgod: 1\n",
      "packgod discord: 1\n",
      "ps5 idle: 1\n",
      "channel ideas: 1\n",
      "ideas gas: 1\n",
      "gas app: 1\n",
      "ps5 vimeo: 1\n",
      "vimeo uzox: 1\n",
      "bot diablo: 1\n",
      "diablo 4: 4\n",
      "4 discord: 1\n",
      "discord there: 1\n",
      "there was: 1\n",
      "was a: 1\n",
      "a problem: 1\n",
      "problem updating: 1\n",
      "updating your: 1\n",
      "your account: 1\n",
      "account music: 1\n",
      "discord 2023: 3\n",
      "2023 discord: 2\n",
      "kitten server: 1\n",
      "server transfer: 1\n",
      "ps5 messi: 1\n",
      "messi pfp: 1\n",
      "discord soundboard: 1\n",
      "soundboard soundboard: 1\n",
      "soundboard discord: 1\n",
      "join a: 2\n",
      "call on: 4\n",
      "ps5 how: 5\n",
      "xbox blizzard: 1\n",
      "blizzard get: 1\n",
      "nitro trial: 1\n",
      "trial the: 1\n",
      "the last: 1\n",
      "last of: 1\n",
      "of us: 1\n",
      "us steam: 1\n",
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      "2023 when: 1\n",
      "when is: 1\n",
      "discord coming: 1\n",
      "coming to: 1\n",
      "ps5 announcement: 1\n",
      "announcement multiple: 1\n",
      "multiple discord: 1\n",
      "discord accounts: 1\n",
      "accounts mobile: 1\n",
      "mobile discord: 1\n",
      "plays spotify: 1\n",
      "spotify midjourney: 1\n",
      "midjourney bot: 2\n",
      "discord ps5: 5\n",
      "discord beta: 1\n",
      "beta sign: 1\n",
      "sign up: 1\n",
      "up music: 1\n",
      "2022 how: 2\n",
      "ps5 blox: 1\n",
      "link how: 1\n",
      "add stickers: 1\n",
      "stickers to: 1\n",
      "server on: 1\n",
      "on mobile: 1\n",
      "mobile discord_backup_codes: 1\n",
      "discord_backup_codes txt: 1\n",
      "txt join: 1\n",
      "not loading: 1\n",
      "loading on: 1\n",
      "xbox music: 1\n",
      "2023 pos: 1\n",
      "get on: 1\n",
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      "in ps5: 1\n",
      "ps5 2015: 1\n",
      "2015 discord: 1\n",
      "server soundboard: 1\n",
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      "can you: 1\n",
      "you screen: 1\n",
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      "share on: 1\n",
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      "oldest discord: 1\n",
      "account discord: 1\n",
      "activate how: 1\n",
      "not transferring: 1\n",
      "transferring to: 1\n",
      "that play: 1\n",
      "play youtube: 1\n",
      "youtube asus: 1\n",
      "asus rog: 1\n",
      "rog ally: 2\n",
      "ally appy: 1\n",
      "appy discord: 1\n",
      "bot clyde: 1\n",
      "clyde discord: 1\n",
      "meaning text: 1\n",
      "text discord: 1\n",
      "ps5 music: 1\n",
      "ps5 rog: 1\n",
      "ally honkai: 1\n",
      "honkai star: 1\n",
      "star rail: 1\n",
      "rail discord: 1\n",
      "server nfl: 1\n",
      "nfl mock: 1\n",
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      "discordbots how: 1\n",
      "how do: 2\n",
      "do i: 2\n",
      "i add: 1\n",
      "to my: 1\n",
      "my discord: 1\n",
      "ps5 beta: 3\n",
      "beta program: 1\n",
      "program multiversus: 1\n",
      "multiversus steam: 1\n",
      "charts https: 1\n",
      "https discord: 2\n",
      "discord com: 2\n",
      "com activate: 2\n",
      "activate ps5: 1\n",
      "ps5 ps5: 2\n",
      "beta xbox: 1\n",
      "xbox emulation: 1\n",
      "emulation hub: 1\n",
      "hub discord: 1\n",
      "discord only: 1\n",
      "only showing: 1\n",
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      "one channel: 1\n",
      "discord auto: 2\n",
      "auto emoji: 6\n",
      "emoji use: 1\n",
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      "off turn: 1\n",
      "turn off: 6\n",
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      "discord destiny: 1\n",
      "destiny 2: 1\n",
      "bots ps5: 1\n",
      "ps5 7: 2\n",
      "7 00: 1\n",
      "00 release: 1\n",
      "to set: 1\n",
      "set up: 1\n",
      "up discord: 1\n",
      "discord wont: 1\n",
      "wont connect: 1\n",
      "connect to: 1\n",
      "xbox midjourney: 1\n",
      "channel not: 1\n",
      "not showing: 2\n",
      "showing how: 1\n",
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      "from ps5: 1\n",
      "ps5 turn: 2\n",
      "mobile 2022: 1\n",
      "2022 ps5: 1\n",
      "discord diablo: 1\n",
      "4 diablo: 1\n",
      "4 steam: 2\n",
      "nitro games: 1\n",
      "games discord: 1\n",
      "app directory: 1\n",
      "directory how: 1\n",
      "mobile 2023: 1\n",
      "2023 diablo: 1\n",
      "deck project: 1\n",
      "project slayers: 1\n",
      "slayers discord: 1\n",
      "to setup: 1\n",
      "setup discord: 1\n",
      "xbox miles: 1\n",
      "miles morales: 1\n",
      "morales pfp: 1\n",
      "pfp best: 1\n",
      "best music: 1\n",
      "2023 how: 1\n",
      "join xbox: 1\n",
      "xbox insider: 1\n",
      "insider ai: 1\n",
      "ai image: 1\n",
      "image generator: 1\n",
      "bot how: 1\n",
      "to turn: 2\n",
      "off emoticon: 2\n",
      "emoticon to: 2\n",
      "to emoji: 2\n",
      "mobile turn: 1\n",
      "mobile linking: 1\n",
      "linking discord: 1\n",
      "ps5 age: 1\n",
      "age restricted: 1\n",
      "restricted server: 1\n",
      "discord god: 1\n",
      "god of: 1\n",
      "of war: 1\n",
      "war ragnarok: 1\n",
      "ragnarok steam: 1\n",
      "steam https: 1\n",
      "activate dwarf: 1\n",
      "dwarf fortress: 1\n",
      "fortress steam: 1\n",
      "steam how: 1\n",
      "beta discord: 1\n",
      "discord wednesday: 1\n",
      "wednesday pfp: 1\n",
      "showing up: 1\n",
      "up on: 1\n",
      "xbox ice: 1\n",
      "ice spice: 1\n",
      "spice pfp: 1\n",
      "chat ps5: 2\n",
      "server has: 1\n",
      "has exclamation: 1\n",
      "exclamation point: 1\n",
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      "pleading emoji: 1\n",
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      "dead island: 2\n",
      "island 2: 2\n",
      "2 mid: 1\n",
      "mid journey: 1\n",
      "journey bot: 1\n",
      "discord dead: 1\n",
      "2 steam: 1\n",
      "steam ps5: 1\n",
      "7 0: 1\n",
      "0 update: 1\n",
      "update steam: 1\n",
      "steam spring: 1\n",
      "spring sale: 1\n",
      "sale 2023: 2\n",
      "2023 steam: 1\n",
      "steam summer: 1\n",
      "summer sale: 1\n",
      "discord voice: 1\n",
      "voice chat: 1\n",
      "i use: 1\n",
      "ps5 nyan: 1\n",
      "nyan cat: 1\n",
      "pfp hogwarts: 1\n",
      "hogwarts legacy: 1\n",
      "legacy steam: 1\n",
      "steam winter: 1\n",
      "winter sale: 1\n",
      "sale 2022: 1\n",
      "2022 steam: 1\n",
      "deck giveaway: 1\n",
      "giveaway steam: 1\n",
      "steam replay: 2\n",
      "replay steam: 1\n",
      "replay 2022: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     /Users/aayushgupta/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from collections import Counter\n",
    "import re\n",
    "from nltk.util import ngrams\n",
    "import nltk\n",
    "nltk.download('punkt')  # Download necessary data for nltk\n",
    "\n",
    "# Load the CSV data into a DataFrame\n",
    "df = pd.read_csv(\"Discord-Analysis.csv\")\n",
    "\n",
    "# Extract the keywords from the \"Month\" column\n",
    "keywords = df['Month']\n",
    "\n",
    "# Combine all keywords into a single string\n",
    "all_keywords = ' '.join(keywords)\n",
    "\n",
    "# Split the combined keywords into individual words\n",
    "words = re.findall(r'\\w+', all_keywords)\n",
    "\n",
    "# Convert all words to lowercase for consistency\n",
    "words = [word.lower() for word in words]\n",
    "\n",
    "# Count the frequency of each word\n",
    "word_counts = Counter(words)\n",
    "\n",
    "# Create bigrams from the list of words\n",
    "bigrams = list(ngrams(words, 2))\n",
    "\n",
    "# Count the frequency of each bigram\n",
    "bigram_counts = Counter(bigrams)\n",
    "\n",
    "# Display the frequency of each word\n",
    "print(\"Individual Words:\")\n",
    "for word, count in word_counts.items():\n",
    "    print(f\"{word}: {count}\")\n",
    "\n",
    "# Display the frequency of each bigram\n",
    "print(\"\\nBigrams:\")\n",
    "for bigram, count in bigram_counts.items():\n",
    "    print(f\"{' '.join(bigram)}: {count}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>Unnamed: 0,Month,2022-07,2022-08,2022-09,2022-10,2022-11,2022-12,2023-01,2023-02,2023-03,2023-04,2023-05,2023-06,2023-07,Sum,6-Months,3-Months,1-Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>230,emoji copy paste,85.0,90.25,94.0,93.0,93.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>233,emoji copy and paste,79.5,86.25,93.5,93.4,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>229,emoji copy,82.5,87.75,93.0,90.4,91.0,90.75...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51,discord,96.5,94.0,85.5,82.6,82.0,85.5,87.6,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>258,font generator,79.5,81.5,80.5,82.8,80.75,8...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unnamed: 0,Month,2022-07,2022-08,2022-09,2022-10,2022-11,2022-12,2023-01,2023-02,2023-03,2023-04,2023-05,2023-06,2023-07,Sum,6-Months,3-Months,1-Month\n",
       "0  230,emoji copy paste,85.0,90.25,94.0,93.0,93.7...                                                                                                    \n",
       "1  233,emoji copy and paste,79.5,86.25,93.5,93.4,...                                                                                                    \n",
       "2  229,emoji copy,82.5,87.75,93.0,90.4,91.0,90.75...                                                                                                    \n",
       "3  51,discord,96.5,94.0,85.5,82.6,82.0,85.5,87.6,...                                                                                                    \n",
       "4  258,font generator,79.5,81.5,80.5,82.8,80.75,8...                                                                                                    "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 10 One-word Frequencies:\n",
      "discord: 18.15%\n",
      "to: 4.83%\n",
      "how: 3.36%\n",
      "bot: 2.69%\n",
      "server: 2.69%\n",
      "xbox: 2.69%\n",
      "pfp: 2.63%\n",
      "steam: 2.63%\n",
      "ps5: 2.51%\n",
      "on: 2.14%\n",
      "\n",
      "Top 10 Two-word Frequencies:\n",
      "how to: 3.24%\n",
      "discord server: 2.32%\n",
      "discord on: 1.41%\n",
      "bot discord: 1.10%\n",
      "discord discord: 1.04%\n",
      "discord bot: 0.92%\n",
      "on xbox: 0.92%\n",
      "on ps5: 0.92%\n",
      "to discord: 0.80%\n",
      "ps5 discord: 0.80%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     /Users/aayushgupta/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from collections import Counter\n",
    "import re\n",
    "from nltk.util import ngrams\n",
    "import nltk\n",
    "nltk.download('punkt')  # Download necessary data for nltk\n",
    "\n",
    "# Load the CSV data into a DataFrame\n",
    "df = pd.read_csv(\"Discord-Analysis.csv\")\n",
    "\n",
    "# Extract the keywords from the \"Month\" column\n",
    "keywords = df['Month']\n",
    "\n",
    "# Combine all keywords into a single string\n",
    "all_keywords = ' '.join(keywords)\n",
    "\n",
    "# Split the combined keywords into individual words\n",
    "words = re.findall(r'\\w+', all_keywords)\n",
    "\n",
    "# Convert all words to lowercase for consistency\n",
    "words = [word.lower() for word in words]\n",
    "\n",
    "# Count the frequency of each word\n",
    "word_counts = Counter(words)\n",
    "\n",
    "# Calculate the total number of words\n",
    "total_words = sum(word_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "word_freq_percentage = {word: (count / total_words) * 100 for word, count in word_counts.items()}\n",
    "sorted_word_freq_percentage = dict(sorted(word_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 one-word frequencies\n",
    "print(\"Top 10 One-word Frequencies:\")\n",
    "for word, percentage in list(sorted_word_freq_percentage.items())[:10]:\n",
    "    print(f\"{word}: {percentage:.2f}%\")\n",
    "\n",
    "# Create bigrams from the list of words\n",
    "bigrams = list(ngrams(words, 2))\n",
    "\n",
    "# Count the frequency of each bigram\n",
    "bigram_counts = Counter(bigrams)\n",
    "\n",
    "# Calculate the total number of bigrams\n",
    "total_bigrams = sum(bigram_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "bigram_freq_percentage = {bigram: (count / total_bigrams) * 100 for bigram, count in bigram_counts.items()}\n",
    "sorted_bigram_freq_percentage = dict(sorted(bigram_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 two-word frequencies\n",
    "print(\"\\nTop 10 Two-word Frequencies:\")\n",
    "for bigram, percentage in list(sorted_bigram_freq_percentage.items())[:10]:\n",
    "    print(f\"{' '.join(bigram)}: {percentage:.2f}%\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 10 One-word Frequencies:\n",
      "discord: 18.15%\n",
      "to: 4.83%\n",
      "how: 3.36%\n",
      "bot: 2.69%\n",
      "server: 2.69%\n",
      "xbox: 2.69%\n",
      "pfp: 2.63%\n",
      "steam: 2.63%\n",
      "ps5: 2.51%\n",
      "on: 2.14%\n",
      "\n",
      "Top 10 Two-word Frequencies:\n",
      "how to: 3.24%\n",
      "discord server: 2.32%\n",
      "discord on: 1.41%\n",
      "bot discord: 1.10%\n",
      "discord discord: 1.04%\n",
      "discord bot: 0.92%\n",
      "on xbox: 0.92%\n",
      "on ps5: 0.92%\n",
      "to discord: 0.80%\n",
      "ps5 discord: 0.80%\n",
      "\n",
      "Top 10 Three-word Frequencies:\n",
      "discord on ps5: 0.73%\n",
      "how to join: 0.61%\n",
      "discord on xbox: 0.61%\n",
      "discord how to: 0.49%\n",
      "how to get: 0.49%\n",
      "server how to: 0.43%\n",
      "to join discord: 0.43%\n",
      "bots for discord: 0.37%\n",
      "discord server how: 0.37%\n",
      "how to make: 0.37%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     /Users/aayushgupta/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from collections import Counter\n",
    "import re\n",
    "from nltk.util import ngrams\n",
    "import nltk\n",
    "nltk.download('punkt')  # Download necessary data for nltk\n",
    "\n",
    "# Load the CSV data into a DataFrame\n",
    "df = pd.read_csv(\"Discord-Analysis.csv\")\n",
    "\n",
    "# Extract the keywords from the \"Month\" column\n",
    "keywords = df['Month']\n",
    "\n",
    "# Combine all keywords into a single string\n",
    "all_keywords = ' '.join(keywords)\n",
    "\n",
    "# Split the combined keywords into individual words\n",
    "words = re.findall(r'\\w+', all_keywords)\n",
    "\n",
    "# Convert all words to lowercase for consistency\n",
    "words = [word.lower() for word in words]\n",
    "\n",
    "# Count the frequency of each word\n",
    "word_counts = Counter(words)\n",
    "\n",
    "# Calculate the total number of words\n",
    "total_words = sum(word_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "word_freq_percentage = {word: (count / total_words) * 100 for word, count in word_counts.items()}\n",
    "sorted_word_freq_percentage = dict(sorted(word_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 one-word frequencies\n",
    "print(\"Top 10 One-word Frequencies:\")\n",
    "for word, percentage in list(sorted_word_freq_percentage.items())[:10]:\n",
    "    print(f\"{word}: {percentage:.2f}%\")\n",
    "\n",
    "# Create bigrams from the list of words\n",
    "bigrams = list(ngrams(words, 2))\n",
    "\n",
    "# Count the frequency of each bigram\n",
    "bigram_counts = Counter(bigrams)\n",
    "\n",
    "# Calculate the total number of bigrams\n",
    "total_bigrams = sum(bigram_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "bigram_freq_percentage = {bigram: (count / total_bigrams) * 100 for bigram, count in bigram_counts.items()}\n",
    "sorted_bigram_freq_percentage = dict(sorted(bigram_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 two-word frequencies\n",
    "print(\"\\nTop 10 Two-word Frequencies:\")\n",
    "for bigram, percentage in list(sorted_bigram_freq_percentage.items())[:10]:\n",
    "    print(f\"{' '.join(bigram)}: {percentage:.2f}%\")\n",
    "\n",
    "# Create trigrams from the list of words\n",
    "trigrams = list(ngrams(words, 3))\n",
    "\n",
    "# Count the frequency of each trigram\n",
    "trigram_counts = Counter(trigrams)\n",
    "\n",
    "# Calculate the total number of trigrams\n",
    "total_trigrams = sum(trigram_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "trigram_freq_percentage = {trigram: (count / total_trigrams) * 100 for trigram, count in trigram_counts.items()}\n",
    "sorted_trigram_freq_percentage = dict(sorted(trigram_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 three-word frequencies\n",
    "print(\"\\nTop 10 Three-word Frequencies:\")\n",
    "for trigram, percentage in list(sorted_trigram_freq_percentage.items())[:10]:\n",
    "    print(f\"{' '.join(trigram)}: {percentage:.2f}%\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 10 One-word Frequencies:\n",
      "discord: 18.15%\n",
      "to: 4.83%\n",
      "how: 3.36%\n",
      "bot: 2.69%\n",
      "server: 2.69%\n",
      "xbox: 2.69%\n",
      "pfp: 2.63%\n",
      "steam: 2.63%\n",
      "ps5: 2.51%\n",
      "on: 2.14%\n",
      "\n",
      "Top 10 Two-word Frequencies:\n",
      "how to: 3.24%\n",
      "discord server: 2.32%\n",
      "discord on: 1.41%\n",
      "bot discord: 1.10%\n",
      "discord discord: 1.04%\n",
      "discord bot: 0.92%\n",
      "on xbox: 0.92%\n",
      "on ps5: 0.92%\n",
      "to discord: 0.80%\n",
      "ps5 discord: 0.80%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     /Users/aayushgupta/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from collections import Counter\n",
    "import re\n",
    "from nltk.util import ngrams\n",
    "import nltk\n",
    "nltk.download('punkt')  # Download necessary data for nltk\n",
    "\n",
    "# Load the CSV data into a DataFrame\n",
    "df = pd.read_csv(\"Discord-Analysis.csv\")\n",
    "keywords = df['Month']\n",
    "\n",
    "\n",
    "all_keywords = ' '.join(keywords)\n",
    "words = re.findall(r'\\w+', all_keywords)\n",
    "words = [word.lower() for word in words]\n",
    "\n",
    "# Count the frequency of each word\n",
    "word_counts = Counter(words)\n",
    "total_words = sum(word_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "word_freq_percentage = {word: (count / total_words) * 100 for word, count in word_counts.items()}\n",
    "sorted_word_freq_percentage = dict(sorted(word_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 one-word frequencies\n",
    "print(\"Top 10 One-word Frequencies:\")\n",
    "for word, percentage in list(sorted_word_freq_percentage.items())[:10]:\n",
    "    print(f\"{word}: {percentage:.2f}%\")\n",
    "\n",
    "# Create bigrams from the list of words\n",
    "bigrams = list(ngrams(words, 2))\n",
    "\n",
    "# Count the frequency of each bigram\n",
    "bigram_counts = Counter(bigrams)\n",
    "\n",
    "# Calculate the total number of bigrams\n",
    "total_bigrams = sum(bigram_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "bigram_freq_percentage = {bigram: (count / total_bigrams) * 100 for bigram, count in bigram_counts.items()}\n",
    "sorted_bigram_freq_percentage = dict(sorted(bigram_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 two-word frequencies\n",
    "print(\"\\nTop 10 Two-word Frequencies:\")\n",
    "for bigram, percentage in list(sorted_bigram_freq_percentage.items())[:10]:\n",
    "    print(f\"{' '.join(bigram)}: {percentage:.2f}%\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-22 20:57:43.381 \n",
      "  \u001b[33m\u001b[1mWarning:\u001b[0m to view this Streamlit app on a browser, run it with the following\n",
      "  command:\n",
      "\n",
      "    streamlit run /Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/ipykernel_launcher.py [ARGUMENTS]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 10 One-word Frequencies:\n",
      "discord: 18.15%\n",
      "to: 4.83%\n",
      "how: 3.36%\n",
      "bot: 2.69%\n",
      "server: 2.69%\n",
      "xbox: 2.69%\n",
      "pfp: 2.63%\n",
      "steam: 2.63%\n",
      "ps5: 2.51%\n",
      "on: 2.14%\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<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>Keywords</th>\n",
       "      <th>12M</th>\n",
       "      <th>6M</th>\n",
       "      <th>3M</th>\n",
       "      <th>1M</th>\n",
       "      <th>Sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>wallpaper</td>\n",
       "      <td>[63.25, 83.0, 66.0, 66.5, 64.75, 70.4, 65.25, ...</td>\n",
       "      <td>743.78</td>\n",
       "      <td>-84.02</td>\n",
       "      <td>-40.22</td>\n",
       "      <td>-1.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>steam install</td>\n",
       "      <td>[58.5, 59.5, 59.0, 54.75, 69.25, 57.0, 58.75, ...</td>\n",
       "      <td>722.57</td>\n",
       "      <td>6.57</td>\n",
       "      <td>19.27</td>\n",
       "      <td>13.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>how to transfer discord call to xbox</td>\n",
       "      <td>[8.5, 39.25, 50.0, 42.5, 23.25, 39.0, 0.0, 0.0...</td>\n",
       "      <td>257.17</td>\n",
       "      <td>-147.83</td>\n",
       "      <td>54.67</td>\n",
       "      <td>28.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>how to join a discord call on ps5</td>\n",
       "      <td>[24.0, 8.75, 0.0, 26.75, 0.0, 5.2, 8.5, 21.25,...</td>\n",
       "      <td>229.08</td>\n",
       "      <td>99.68</td>\n",
       "      <td>35.28</td>\n",
       "      <td>-3.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>asus rog ally</td>\n",
       "      <td>[0.0, 0.25, 0.0, 0.25, 0.0, 0.2, 0.25, 0.25, 2...</td>\n",
       "      <td>184.07</td>\n",
       "      <td>182.67</td>\n",
       "      <td>127.97</td>\n",
       "      <td>-22.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>rog ally</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 0.25, 17....</td>\n",
       "      <td>174.30</td>\n",
       "      <td>173.80</td>\n",
       "      <td>137.95</td>\n",
       "      <td>-23.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>how to join discord call on xbox</td>\n",
       "      <td>[6.5, 11.75, 5.2, 30.0, 0.0, 15.2, 25.25, 0.0,...</td>\n",
       "      <td>165.18</td>\n",
       "      <td>27.88</td>\n",
       "      <td>35.63</td>\n",
       "      <td>45.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>how to join a discord call on xbox</td>\n",
       "      <td>[22.75, 7.0, 25.0, 16.25, 0.0, 35.6, 14.25, 27...</td>\n",
       "      <td>154.85</td>\n",
       "      <td>-58.35</td>\n",
       "      <td>-34.75</td>\n",
       "      <td>-6.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>how to transfer discord call to ps5</td>\n",
       "      <td>[13.25, 0.0, 0.0, 25.0, 10.0, 0.0, 0.0, 39.0, ...</td>\n",
       "      <td>136.08</td>\n",
       "      <td>39.58</td>\n",
       "      <td>9.83</td>\n",
       "      <td>37.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>how to join discord call on ps5</td>\n",
       "      <td>[0.0, 0.0, 38.0, 7.5, 14.0, 0.0, 0.0, 18.25, 7...</td>\n",
       "      <td>113.88</td>\n",
       "      <td>-5.12</td>\n",
       "      <td>2.28</td>\n",
       "      <td>4.08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Keywords  \\\n",
       "0                             wallpaper   \n",
       "1                         steam install   \n",
       "2  how to transfer discord call to xbox   \n",
       "3     how to join a discord call on ps5   \n",
       "4                         asus rog ally   \n",
       "5                              rog ally   \n",
       "6      how to join discord call on xbox   \n",
       "7    how to join a discord call on xbox   \n",
       "8   how to transfer discord call to ps5   \n",
       "9       how to join discord call on ps5   \n",
       "\n",
       "                                                 12M      6M      3M      1M  \\\n",
       "0  [63.25, 83.0, 66.0, 66.5, 64.75, 70.4, 65.25, ...  743.78  -84.02  -40.22   \n",
       "1  [58.5, 59.5, 59.0, 54.75, 69.25, 57.0, 58.75, ...  722.57    6.57   19.27   \n",
       "2  [8.5, 39.25, 50.0, 42.5, 23.25, 39.0, 0.0, 0.0...  257.17 -147.83   54.67   \n",
       "3  [24.0, 8.75, 0.0, 26.75, 0.0, 5.2, 8.5, 21.25,...  229.08   99.68   35.28   \n",
       "4  [0.0, 0.25, 0.0, 0.25, 0.0, 0.2, 0.25, 0.25, 2...  184.07  182.67  127.97   \n",
       "5  [0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 0.25, 17....  174.30  173.80  137.95   \n",
       "6  [6.5, 11.75, 5.2, 30.0, 0.0, 15.2, 25.25, 0.0,...  165.18   27.88   35.63   \n",
       "7  [22.75, 7.0, 25.0, 16.25, 0.0, 35.6, 14.25, 27...  154.85  -58.35  -34.75   \n",
       "8  [13.25, 0.0, 0.0, 25.0, 10.0, 0.0, 0.0, 39.0, ...  136.08   39.58    9.83   \n",
       "9  [0.0, 0.0, 38.0, 7.5, 14.0, 0.0, 0.0, 18.25, 7...  113.88   -5.12    2.28   \n",
       "\n",
       "     Sum  \n",
       "0  -1.92  \n",
       "1  13.17  \n",
       "2  28.67  \n",
       "3  -3.92  \n",
       "4 -22.08  \n",
       "5 -23.75  \n",
       "6  45.33  \n",
       "7  -6.75  \n",
       "8  37.33  \n",
       "9   4.08  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import streamlit as st\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from collections import Counter\n",
    "import re\n",
    "from nltk.util import ngrams\n",
    "import nltk\n",
    "\n",
    "df = pd.read_csv('Discord-Analysis.csv')\n",
    "keywords = df['Month']\n",
    "\n",
    "all_keywords = ' '.join(keywords)\n",
    "words = re.findall(r'\\w+', all_keywords)\n",
    "words = [word.lower() for word in words]\n",
    "\n",
    "# Count the frequency of each word\n",
    "word_counts = Counter(words)\n",
    "total_words = sum(word_counts.values())\n",
    "\n",
    "# Calculate the frequency as a percentage and sort\n",
    "word_freq_percentage = {word: (count / total_words) * 100 for word, count in word_counts.items()}\n",
    "sorted_word_freq_percentage = dict(sorted(word_freq_percentage.items(), key=lambda item: item[1], reverse=True))\n",
    "\n",
    "# Display the top 10 one-word frequencies\n",
    "print(\"Top 10 One-word Frequencies:\")\n",
    "for word, percentage in list(sorted_word_freq_percentage.items())[:10]:\n",
    "    print(f\"{word}: {percentage:.2f}%\")\n",
    "\n",
    "# Create a sidebar section for filtering\n",
    "st.sidebar.header(\"Keyword Filter\")\n",
    "selected_keyword = st.sidebar.text_input(\"Enter Keyword\")\n",
    "\n",
    "# Get the top 10 one-word frequencies and their corresponding words\n",
    "top_keywords = list(sorted_word_freq_percentage.keys())[:10]\n",
    "\n",
    "# Create a Streamlit sidebar section for filtering\n",
    "st.sidebar.header(\"Keyword Filter\")\n",
    "selected_keyword = st.sidebar.selectbox(\"Select Keyword\", [\"All\"] + top_keywords)\n",
    "\n",
    "# Display the filtered data based on the selected keyword\n",
    "st.write(f\"Displaying data for keyword: {selected_keyword}\")\n",
    "if selected_keyword == \"All\":\n",
    "    filtered_data = df\n",
    "else:\n",
    "    filtered_data = df[df['Month'].str.contains(selected_keyword, case=False, na=False)]\n",
    "\n",
    "st.write(filtered_data)\n",
    "\n",
    "# Apply keyword filter to the DataFrame\n",
    "df = df[df[\"Month\"].str.contains(selected_keyword, case=False, na=False)]\n",
    "\n",
    "df_12M = df.iloc[:,-16:-4]\n",
    "df_Keywords = df.iloc[:, 1:2]\n",
    "df_Sum = df.iloc[:, -1:]\n",
    "df_6M = df.iloc[:, -4:-3]\n",
    "df_3M = df.iloc[:, -3:-2]\n",
    "df_1M = df.iloc[:, -2:-1]\n",
    "\n",
    "def df2arr2(df):\n",
    "    arr = df.to_numpy()\n",
    "    list1 = []\n",
    "    for i in arr:\n",
    "        list1.append(i)\n",
    "    return list1\n",
    "\n",
    "def df2arr(df):\n",
    "    arr = df.to_numpy()\n",
    "    list1 = []\n",
    "    for i in arr:\n",
    "        for j in i:\n",
    "            list1.append(j)\n",
    "    return list1\n",
    "\n",
    "arr_12M, arr_Keywords, arr_Sum, arr_6M, arr_3M, arr_1M = [],[],[],[],[],[]\n",
    "arr_12M = df2arr2(df_12M)\n",
    "arr_6M = df2arr(df_6M)\n",
    "arr_3M = df2arr(df_3M)\n",
    "arr_1M = df2arr(df_1M)\n",
    "arr_Sum = df2arr(df_Sum)\n",
    "arr_Keywords = df2arr(df_Keywords)\n",
    "\n",
    "\n",
    "data_df = pd.DataFrame(\n",
    "    {\n",
    "        \"Keywords\": arr_Keywords,\n",
    "        \"12M\": arr_12M,\n",
    "        \"6M\": arr_6M,\n",
    "        \"3M\": arr_3M,\n",
    "        \"1M\": arr_1M,\n",
    "        \"Sum\": arr_Sum,\n",
    "    }\n",
    ")\n",
    "\n",
    "\n",
    "st.data_editor(\n",
    "    data_df,\n",
    "    column_config={\n",
    "        \"Keywords\": st.column_config.TextColumn(\n",
    "            \"Keywords\", help=\"The name of the user\", max_chars=100\n",
    "        ),\n",
    "        \"12M\": st.column_config.BarChartColumn(\n",
    "            \"12M\",\n",
    "            help=\"Sales in the last 12 months\",\n",
    "            y_min=0,\n",
    "            y_max=100,\n",
    "        ),\n",
    "        \"6M\": st.column_config.NumberColumn(\n",
    "            \"6M\",\n",
    "            help=\"Sales in the last 6 months\",\n",
    "            format=\"%.2f\",  # Adjust the format as needed\n",
    "        ),\n",
    "        \"3M\": st.column_config.NumberColumn(\n",
    "            \"3M\",\n",
    "            help=\"Sales in the last 3 months\",\n",
    "            format=\"%.2f\",  # Adjust the format as needed\n",
    "        ),\n",
    "        \"1M\": st.column_config.NumberColumn(\n",
    "            \"1M\",\n",
    "            help=\"Sales in the last 1 month\",\n",
    "            format=\"%.2f\",  # Adjust the format as needed\n",
    "        ),\n",
    "        \"Sum\": st.column_config.NumberColumn(\n",
    "            \"Sum\", help=\"Total sales sum\", format=\"%.2f\"  # Adjust the format as needed\n",
    "        ),\n",
    "    },\n",
    "    hide_index=True,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>Unnamed: 0</th>\n",
       "      <th>Month</th>\n",
       "      <th>2022-07</th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "      <th>Sum</th>\n",
       "      <th>6-Months</th>\n",
       "      <th>3-Months</th>\n",
       "      <th>1-Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>61</td>\n",
       "      <td>wallpaper</td>\n",
       "      <td>53.5</td>\n",
       "      <td>63.25</td>\n",
       "      <td>83.00</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.50</td>\n",
       "      <td>64.75</td>\n",
       "      <td>70.4</td>\n",
       "      <td>65.25</td>\n",
       "      <td>62.00</td>\n",
       "      <td>57.8</td>\n",
       "      <td>52.25</td>\n",
       "      <td>47.25</td>\n",
       "      <td>45.333333</td>\n",
       "      <td>743.78</td>\n",
       "      <td>-84.02</td>\n",
       "      <td>-40.22</td>\n",
       "      <td>-1.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>374</td>\n",
       "      <td>steam install</td>\n",
       "      <td>57.0</td>\n",
       "      <td>58.50</td>\n",
       "      <td>59.50</td>\n",
       "      <td>59.0</td>\n",
       "      <td>54.75</td>\n",
       "      <td>69.25</td>\n",
       "      <td>57.0</td>\n",
       "      <td>58.75</td>\n",
       "      <td>61.50</td>\n",
       "      <td>52.4</td>\n",
       "      <td>55.75</td>\n",
       "      <td>61.50</td>\n",
       "      <td>74.666667</td>\n",
       "      <td>722.57</td>\n",
       "      <td>6.57</td>\n",
       "      <td>19.27</td>\n",
       "      <td>13.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>124</td>\n",
       "      <td>how to transfer discord call to xbox</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.50</td>\n",
       "      <td>39.25</td>\n",
       "      <td>50.0</td>\n",
       "      <td>42.50</td>\n",
       "      <td>23.25</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>41.666667</td>\n",
       "      <td>257.17</td>\n",
       "      <td>-147.83</td>\n",
       "      <td>54.67</td>\n",
       "      <td>28.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>451</td>\n",
       "      <td>how to join a discord call on ps5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.00</td>\n",
       "      <td>8.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.75</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.2</td>\n",
       "      <td>8.50</td>\n",
       "      <td>21.25</td>\n",
       "      <td>34.8</td>\n",
       "      <td>29.25</td>\n",
       "      <td>37.25</td>\n",
       "      <td>33.333333</td>\n",
       "      <td>229.08</td>\n",
       "      <td>99.68</td>\n",
       "      <td>35.28</td>\n",
       "      <td>-3.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>381</td>\n",
       "      <td>asus rog ally</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>27.2</td>\n",
       "      <td>50.25</td>\n",
       "      <td>63.75</td>\n",
       "      <td>41.666667</td>\n",
       "      <td>184.07</td>\n",
       "      <td>182.67</td>\n",
       "      <td>127.97</td>\n",
       "      <td>-22.08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0                                 Month  2022-07  2022-08  \\\n",
       "157          61                             wallpaper     53.5    63.25   \n",
       "168         374                         steam install     57.0    58.50   \n",
       "397         124  how to transfer discord call to xbox      0.0     8.50   \n",
       "414         451     how to join a discord call on ps5      0.0    24.00   \n",
       "448         381                         asus rog ally      0.0     0.00   \n",
       "\n",
       "     2022-09  2022-10  2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  \\\n",
       "157    83.00     66.0    66.50    64.75     70.4    65.25    62.00     57.8   \n",
       "168    59.50     59.0    54.75    69.25     57.0    58.75    61.50     52.4   \n",
       "397    39.25     50.0    42.50    23.25     39.0     0.00     0.00      0.0   \n",
       "414     8.75      0.0    26.75     0.00      5.2     8.50    21.25     34.8   \n",
       "448     0.25      0.0     0.25     0.00      0.2     0.25     0.25     27.2   \n",
       "\n",
       "     2023-05  2023-06    2023-07     Sum  6-Months  3-Months  1-Month  \n",
       "157    52.25    47.25  45.333333  743.78    -84.02    -40.22    -1.92  \n",
       "168    55.75    61.50  74.666667  722.57      6.57     19.27    13.17  \n",
       "397     0.00    13.00  41.666667  257.17   -147.83     54.67    28.67  \n",
       "414    29.25    37.25  33.333333  229.08     99.68     35.28    -3.92  \n",
       "448    50.25    63.75  41.666667  184.07    182.67    127.97   -22.08  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Unnamed: 0</th>\n",
       "      <th>Month</th>\n",
       "      <th>2022-07</th>\n",
       "      <th>2022-08</th>\n",
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       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "      <th>Sum</th>\n",
       "      <th>6-Months</th>\n",
       "      <th>3-Months</th>\n",
       "      <th>1-Month</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>230</td>\n",
       "      <td>emoji copy paste</td>\n",
       "      <td>85.0</td>\n",
       "      <td>90.25</td>\n",
       "      <td>94.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.75</td>\n",
       "      <td>91.75</td>\n",
       "      <td>91.8</td>\n",
       "      <td>93.50</td>\n",
       "      <td>96.00</td>\n",
       "      <td>95.4</td>\n",
       "      <td>95.50</td>\n",
       "      <td>87.75</td>\n",
       "      <td>84.333333</td>\n",
       "      <td>1107.03</td>\n",
       "      <td>-2.07</td>\n",
       "      <td>-17.32</td>\n",
       "      <td>-3.42</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>233</td>\n",
       "      <td>emoji copy and paste</td>\n",
       "      <td>79.5</td>\n",
       "      <td>86.25</td>\n",
       "      <td>93.5</td>\n",
       "      <td>93.4</td>\n",
       "      <td>93.50</td>\n",
       "      <td>91.25</td>\n",
       "      <td>90.8</td>\n",
       "      <td>93.50</td>\n",
       "      <td>95.50</td>\n",
       "      <td>94.4</td>\n",
       "      <td>91.50</td>\n",
       "      <td>82.75</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>1085.35</td>\n",
       "      <td>-12.05</td>\n",
       "      <td>-30.15</td>\n",
       "      <td>-3.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>229</td>\n",
       "      <td>emoji copy</td>\n",
       "      <td>82.5</td>\n",
       "      <td>87.75</td>\n",
       "      <td>93.0</td>\n",
       "      <td>90.4</td>\n",
       "      <td>91.00</td>\n",
       "      <td>90.75</td>\n",
       "      <td>89.0</td>\n",
       "      <td>90.75</td>\n",
       "      <td>93.50</td>\n",
       "      <td>92.2</td>\n",
       "      <td>92.75</td>\n",
       "      <td>85.25</td>\n",
       "      <td>84.666667</td>\n",
       "      <td>1081.02</td>\n",
       "      <td>-2.78</td>\n",
       "      <td>-13.78</td>\n",
       "      <td>-0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51</td>\n",
       "      <td>discord</td>\n",
       "      <td>96.5</td>\n",
       "      <td>94.00</td>\n",
       "      <td>85.5</td>\n",
       "      <td>82.6</td>\n",
       "      <td>82.00</td>\n",
       "      <td>85.50</td>\n",
       "      <td>87.6</td>\n",
       "      <td>87.75</td>\n",
       "      <td>91.25</td>\n",
       "      <td>90.0</td>\n",
       "      <td>86.25</td>\n",
       "      <td>96.75</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>1061.20</td>\n",
       "      <td>26.80</td>\n",
       "      <td>6.00</td>\n",
       "      <td>-4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>258</td>\n",
       "      <td>font generator</td>\n",
       "      <td>79.5</td>\n",
       "      <td>81.50</td>\n",
       "      <td>80.5</td>\n",
       "      <td>82.8</td>\n",
       "      <td>80.75</td>\n",
       "      <td>87.50</td>\n",
       "      <td>87.6</td>\n",
       "      <td>90.25</td>\n",
       "      <td>90.75</td>\n",
       "      <td>93.4</td>\n",
       "      <td>97.00</td>\n",
       "      <td>96.75</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>1059.80</td>\n",
       "      <td>58.50</td>\n",
       "      <td>10.35</td>\n",
       "      <td>-5.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                 Month  2022-07  2022-08  2022-09  2022-10  \\\n",
       "0         230      emoji copy paste     85.0    90.25     94.0     93.0   \n",
       "1         233  emoji copy and paste     79.5    86.25     93.5     93.4   \n",
       "2         229            emoji copy     82.5    87.75     93.0     90.4   \n",
       "3          51               discord     96.5    94.00     85.5     82.6   \n",
       "4         258        font generator     79.5    81.50     80.5     82.8   \n",
       "\n",
       "   2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  2023-05  2023-06  \\\n",
       "0    93.75    91.75     91.8    93.50    96.00     95.4    95.50    87.75   \n",
       "1    93.50    91.25     90.8    93.50    95.50     94.4    91.50    82.75   \n",
       "2    91.00    90.75     89.0    90.75    93.50     92.2    92.75    85.25   \n",
       "3    82.00    85.50     87.6    87.75    91.25     90.0    86.25    96.75   \n",
       "4    80.75    87.50     87.6    90.25    90.75     93.4    97.00    96.75   \n",
       "\n",
       "     2023-07      Sum  6-Months  3-Months  1-Month  \n",
       "0  84.333333  1107.03     -2.07    -17.32    -3.42  \n",
       "1  79.000000  1085.35    -12.05    -30.15    -3.75  \n",
       "2  84.666667  1081.02     -2.78    -13.78    -0.58  \n",
       "3  92.000000  1061.20     26.80      6.00    -4.75  \n",
       "4  91.000000  1059.80     58.50     10.35    -5.75  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     1-Month\n",
      "0      -3.42\n",
      "1      -3.75\n",
      "2      -0.58\n",
      "3      -4.75\n",
      "4      -5.75\n",
      "..       ...\n",
      "521     0.08\n",
      "522     0.00\n",
      "523     0.33\n",
      "524     0.17\n",
      "525    -0.50\n",
      "\n",
      "[526 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "df_12M = df.iloc[:,-16:-4]\n",
    "df_Keywords = df.iloc[:, 1:2]\n",
    "df_Sum = df.iloc[:, -1:]\n",
    "df_6M = df.iloc[:, -4:-3]\n",
    "df_3M = df.iloc[:, -3:-2]\n",
    "df_1M = df.iloc[:, -2:-1]\n",
    "print(df_Sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Discord-Analysis.csv')\n",
    "\n",
    "# Create a sidebar section for filtering\n",
    "st.sidebar.header(\"Keyword Filter\")\n",
    "selected_keyword = st.sidebar.text_input(\"Enter Keyword\")\n",
    "\n",
    "\n",
    "# Apply keyword filter to the DataFrame\n",
    "df = df[df[\"Month\"].str.contains(selected_keyword, case=False, na=False)]\n",
    "\n",
    "df_12M = df.iloc[:,-16:-4]\n",
    "df_Keywords = df.iloc[:, 1:2]\n",
    "df_1M = df.iloc[:, -1:]\n",
    "df_Sum = df.iloc[:, -4:-3]\n",
    "df_6M = df.iloc[:, -3:-2]\n",
    "df_3M = df.iloc[:, -2:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     2022-08  2022-09  2022-10  2022-11  2022-12  2023-01  2023-02  2023-03  \\\n",
      "0      90.25    94.00     93.0    93.75    91.75     91.8    93.50    96.00   \n",
      "1      86.25    93.50     93.4    93.50    91.25     90.8    93.50    95.50   \n",
      "2      87.75    93.00     90.4    91.00    90.75     89.0    90.75    93.50   \n",
      "3      94.00    85.50     82.6    82.00    85.50     87.6    87.75    91.25   \n",
      "4      81.50    80.50     82.8    80.75    87.50     87.6    90.25    90.75   \n",
      "..       ...      ...      ...      ...      ...      ...      ...      ...   \n",
      "521     0.50     0.25      0.0     0.25     1.25      4.8    37.00     3.75   \n",
      "522     0.25     0.25      0.6     5.00    41.25      2.0     0.50     0.25   \n",
      "523     0.25     0.25      0.0     7.25    27.00      0.2     0.25     0.50   \n",
      "524     0.00     0.00      0.0     0.00    25.25      3.0     0.50     0.50   \n",
      "525     0.25     0.25      0.0     0.00    25.25      2.4     0.50     1.00   \n",
      "\n",
      "     2023-04  2023-05  2023-06    2023-07  \n",
      "0       95.4    95.50    87.75  84.333333  \n",
      "1       94.4    91.50    82.75  79.000000  \n",
      "2       92.2    92.75    85.25  84.666667  \n",
      "3       90.0    86.25    96.75  92.000000  \n",
      "4       93.4    97.00    96.75  91.000000  \n",
      "..       ...      ...      ...        ...  \n",
      "521      1.8     1.25     1.25   1.333333  \n",
      "522      0.2     0.25     0.00   0.000000  \n",
      "523      0.4     0.00     0.00   0.333333  \n",
      "524      0.8     0.50     0.50   0.666667  \n",
      "525      0.6     0.25     0.50   0.000000  \n",
      "\n",
      "[526 rows x 12 columns]\n"
     ]
    }
   ],
   "source": [
    "print(df_12M)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Sum\n",
      "0    1107.03\n",
      "1    1085.35\n",
      "2    1081.02\n",
      "3    1061.20\n",
      "4    1059.80\n",
      "..       ...\n",
      "521    53.43\n",
      "522    50.55\n",
      "523    36.43\n",
      "524    31.72\n",
      "525    31.00\n",
      "\n",
      "[526 rows x 1 columns]\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "# Specify the path to the folder containing CSV files\n",
    "csv_folder_path = \"CSV Files\"\n",
    "\n",
    "# Get a list of all CSV files in the specified directory\n",
    "csv_files = [file for file in os.listdir(csv_folder_path) if file.endswith(\".csv\")]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['ai.csv', 'Discord.csv', 'mobile_games.csv', 'bot.csv', 'discord_bot.csv', 'Keywords.csv', 'nsfw.csv']\n"
     ]
    }
   ],
   "source": [
    "print(csv_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'selected_csv' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[117], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df2 \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(selected_csv)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'selected_csv' is not defined"
     ]
    }
   ],
   "source": [
    "df2 = pd.read_csv(selected_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "one = pd.read_csv('CSV Files/ai.csv')\n",
    "second = pd.read_csv('CSV Files/bot.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "    }\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>Unnamed: 0</th>\n",
       "      <th>Month</th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>beta</td>\n",
       "      <td>28.75</td>\n",
       "      <td>60.50</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.25</td>\n",
       "      <td>23.00</td>\n",
       "      <td>24.2</td>\n",
       "      <td>27.00</td>\n",
       "      <td>41.75</td>\n",
       "      <td>30.8</td>\n",
       "      <td>29.50</td>\n",
       "      <td>33.50</td>\n",
       "      <td>28.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>character ai app</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.50</td>\n",
       "      <td>13.4</td>\n",
       "      <td>59.50</td>\n",
       "      <td>39.25</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>chat gpt checker</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>29.2</td>\n",
       "      <td>54.25</td>\n",
       "      <td>65.25</td>\n",
       "      <td>81.2</td>\n",
       "      <td>59.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>character ai filter</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7.75</td>\n",
       "      <td>7.00</td>\n",
       "      <td>49.2</td>\n",
       "      <td>53.25</td>\n",
       "      <td>66.50</td>\n",
       "      <td>84.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>character ai reddit</td>\n",
       "      <td>2.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.25</td>\n",
       "      <td>12.50</td>\n",
       "      <td>25.4</td>\n",
       "      <td>24.50</td>\n",
       "      <td>32.00</td>\n",
       "      <td>54.6</td>\n",
       "      <td>69.75</td>\n",
       "      <td>48.50</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                Month  2022-08  2022-09  2022-10  2022-11  \\\n",
       "0           0                 beta    28.75    60.50     29.0    24.25   \n",
       "1           1     character ai app     0.25     0.00      0.4     0.25   \n",
       "2           2     chat gpt checker     1.00     0.75      1.4     1.00   \n",
       "3           3  character ai filter     1.75     1.25      1.0     0.25   \n",
       "4           4  character ai reddit     2.75     0.75      3.0     2.25   \n",
       "\n",
       "   2022-12  2023-01  2023-02  2023-03  2023-04  2023-05  2023-06  2023-07  \n",
       "0    23.00     24.2    27.00    41.75     30.8    29.50    33.50     28.8  \n",
       "1     0.75      1.8     3.50     2.50     13.4    59.50    39.25     22.4  \n",
       "2    27.00     29.2    54.25    65.25     81.2    59.00    31.00     22.4  \n",
       "3     2.25      3.6     7.75     7.00     49.2    53.25    66.50     84.4  \n",
       "4    12.50     25.4    24.50    32.00     54.6    69.75    48.50     71.4  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "one.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Month</th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>music bot</td>\n",
       "      <td>44.75</td>\n",
       "      <td>44.75</td>\n",
       "      <td>58.2</td>\n",
       "      <td>51.00</td>\n",
       "      <td>42.75</td>\n",
       "      <td>42.2</td>\n",
       "      <td>79.00</td>\n",
       "      <td>55.75</td>\n",
       "      <td>50.0</td>\n",
       "      <td>44.50</td>\n",
       "      <td>53.75</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>discord bot commands</td>\n",
       "      <td>78.75</td>\n",
       "      <td>60.25</td>\n",
       "      <td>65.4</td>\n",
       "      <td>55.25</td>\n",
       "      <td>52.50</td>\n",
       "      <td>55.8</td>\n",
       "      <td>64.50</td>\n",
       "      <td>57.25</td>\n",
       "      <td>53.6</td>\n",
       "      <td>46.75</td>\n",
       "      <td>50.25</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>google docs</td>\n",
       "      <td>59.75</td>\n",
       "      <td>95.50</td>\n",
       "      <td>92.4</td>\n",
       "      <td>82.25</td>\n",
       "      <td>59.50</td>\n",
       "      <td>77.2</td>\n",
       "      <td>86.25</td>\n",
       "      <td>73.50</td>\n",
       "      <td>76.2</td>\n",
       "      <td>64.50</td>\n",
       "      <td>34.75</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>how to add bot to discord</td>\n",
       "      <td>76.00</td>\n",
       "      <td>62.50</td>\n",
       "      <td>54.4</td>\n",
       "      <td>61.00</td>\n",
       "      <td>52.00</td>\n",
       "      <td>62.8</td>\n",
       "      <td>57.50</td>\n",
       "      <td>72.50</td>\n",
       "      <td>70.0</td>\n",
       "      <td>65.25</td>\n",
       "      <td>58.25</td>\n",
       "      <td>75.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>carl discord bot</td>\n",
       "      <td>77.50</td>\n",
       "      <td>71.25</td>\n",
       "      <td>67.0</td>\n",
       "      <td>53.00</td>\n",
       "      <td>66.75</td>\n",
       "      <td>79.0</td>\n",
       "      <td>75.75</td>\n",
       "      <td>61.75</td>\n",
       "      <td>66.8</td>\n",
       "      <td>74.00</td>\n",
       "      <td>78.25</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                      Month  2022-08  2022-09  2022-10  2022-11  \\\n",
       "0           0                  music bot    44.75    44.75     58.2    51.00   \n",
       "1           1       discord bot commands    78.75    60.25     65.4    55.25   \n",
       "2           2                google docs    59.75    95.50     92.4    82.25   \n",
       "3           3  how to add bot to discord    76.00    62.50     54.4    61.00   \n",
       "4           4           carl discord bot    77.50    71.25     67.0    53.00   \n",
       "\n",
       "   2022-12  2023-01  2023-02  2023-03  2023-04  2023-05  2023-06  2023-07  \n",
       "0    42.75     42.2    79.00    55.75     50.0    44.50    53.75     59.0  \n",
       "1    52.50     55.8    64.50    57.25     53.6    46.75    50.25     36.8  \n",
       "2    59.50     77.2    86.25    73.50     76.2    64.50    34.75     25.0  \n",
       "3    52.00     62.8    57.50    72.50     70.0    65.25    58.25     75.4  \n",
       "4    66.75     79.0    75.75    61.75     66.8    74.00    78.25     74.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "second.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.describe of       Unnamed: 0                                              Month  2022-08  \\\n",
       "0              0                                               beta    28.75   \n",
       "1              1                                   character ai app     0.25   \n",
       "2              2                                   chat gpt checker     1.00   \n",
       "3              3                                character ai filter     1.75   \n",
       "4              4                                character ai reddit     2.75   \n",
       "...          ...                                                ...      ...   \n",
       "1811         984                                      edgenuity bot     0.00   \n",
       "1812         985                                            quilbot    30.00   \n",
       "1813         986  interoperability is a weakness in cloud computing    10.00   \n",
       "1814         987                                  rocket bot royale    27.25   \n",
       "1815         988                            what is a bot in gaming     0.00   \n",
       "\n",
       "      2022-09  2022-10  2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  \\\n",
       "0       60.50     29.0    24.25    23.00     24.2    27.00    41.75     30.8   \n",
       "1        0.00      0.4     0.25     0.75      1.8     3.50     2.50     13.4   \n",
       "2        0.75      1.4     1.00    27.00     29.2    54.25    65.25     81.2   \n",
       "3        1.25      1.0     0.25     2.25      3.6     7.75     7.00     49.2   \n",
       "4        0.75      3.0     2.25    12.50     25.4    24.50    32.00     54.6   \n",
       "...       ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "1811     4.50      0.0     3.25    18.50      4.2     9.50     8.00     10.6   \n",
       "1812    58.50     63.2    63.75    54.00     59.6    86.00    85.25     88.4   \n",
       "1813     0.00      0.0     9.75    14.25      0.0    14.25     0.00      7.4   \n",
       "1814    60.00     71.4    59.50    45.75     46.4    58.75    51.50     60.4   \n",
       "1815    17.50      0.0     6.25     0.00      3.4     0.00    25.00     16.8   \n",
       "\n",
       "      2023-05  2023-06  2023-07  \n",
       "0       29.50    33.50     28.8  \n",
       "1       59.50    39.25     22.4  \n",
       "2       59.00    31.00     22.4  \n",
       "3       53.25    66.50     84.4  \n",
       "4       69.75    48.50     71.4  \n",
       "...       ...      ...      ...  \n",
       "1811     7.00    13.00     28.0  \n",
       "1812    58.00    35.25     29.8  \n",
       "1813    25.00     8.25      0.0  \n",
       "1814    65.50    16.00     19.8  \n",
       "1815     6.00     6.75     20.8  \n",
       "\n",
       "[1816 rows x 14 columns]>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()\n",
    "df.describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.describe of      Unnamed: 0                        Month  2022-08  2022-09  2022-10  \\\n",
       "0             0                         beta    28.75    60.50     29.0   \n",
       "1             1             character ai app     0.25     0.00      0.4   \n",
       "2             2             chat gpt checker     1.00     0.75      1.4   \n",
       "3             3          character ai filter     1.75     1.25      1.0   \n",
       "4             4          character ai reddit     2.75     0.75      3.0   \n",
       "..          ...                          ...      ...      ...      ...   \n",
       "822         822                    cactus ai     0.25     0.75      2.4   \n",
       "823         823  google generative ai course     2.75     1.00      0.0   \n",
       "824         824         google bard ai login     0.00     2.50      4.4   \n",
       "825         825               brad google ai    13.25     0.00      9.2   \n",
       "826         826                perplexity ai     0.50     0.00      0.0   \n",
       "\n",
       "     2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  2023-05  2023-06  \\\n",
       "0      24.25    23.00     24.2    27.00    41.75     30.8    29.50    33.50   \n",
       "1       0.25     0.75      1.8     3.50     2.50     13.4    59.50    39.25   \n",
       "2       1.00    27.00     29.2    54.25    65.25     81.2    59.00    31.00   \n",
       "3       0.25     2.25      3.6     7.75     7.00     49.2    53.25    66.50   \n",
       "4       2.25    12.50     25.4    24.50    32.00     54.6    69.75    48.50   \n",
       "..       ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "822     0.50    26.00     92.0    75.50    67.00     41.2    18.25     6.00   \n",
       "823     1.75     3.25      3.2     0.00     2.50      2.0     2.50    57.50   \n",
       "824     0.00     0.00      2.0    40.25    23.00     21.8    24.00    27.00   \n",
       "825     4.50     0.00      0.0    47.50    18.00     18.4    44.50    15.75   \n",
       "826     0.00    25.50     21.8    39.50    37.25     56.6    61.50    52.75   \n",
       "\n",
       "     2023-07  \n",
       "0       28.8  \n",
       "1       22.4  \n",
       "2       22.4  \n",
       "3       84.4  \n",
       "4       71.4  \n",
       "..       ...  \n",
       "822      4.0  \n",
       "823     15.8  \n",
       "824     11.6  \n",
       "825     35.0  \n",
       "826     61.0  \n",
       "\n",
       "[827 rows x 14 columns]>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "one.describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.describe of      Unnamed: 0                                              Month  2022-08  \\\n",
       "0             0                                          music bot    44.75   \n",
       "1             1                               discord bot commands    78.75   \n",
       "2             2                                        google docs    59.75   \n",
       "3             3                          how to add bot to discord    76.00   \n",
       "4             4                                   carl discord bot    77.50   \n",
       "..          ...                                                ...      ...   \n",
       "984         984                                      edgenuity bot     0.00   \n",
       "985         985                                            quilbot    30.00   \n",
       "986         986  interoperability is a weakness in cloud computing    10.00   \n",
       "987         987                                  rocket bot royale    27.25   \n",
       "988         988                            what is a bot in gaming     0.00   \n",
       "\n",
       "     2022-09  2022-10  2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  \\\n",
       "0      44.75     58.2    51.00    42.75     42.2    79.00    55.75     50.0   \n",
       "1      60.25     65.4    55.25    52.50     55.8    64.50    57.25     53.6   \n",
       "2      95.50     92.4    82.25    59.50     77.2    86.25    73.50     76.2   \n",
       "3      62.50     54.4    61.00    52.00     62.8    57.50    72.50     70.0   \n",
       "4      71.25     67.0    53.00    66.75     79.0    75.75    61.75     66.8   \n",
       "..       ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "984     4.50      0.0     3.25    18.50      4.2     9.50     8.00     10.6   \n",
       "985    58.50     63.2    63.75    54.00     59.6    86.00    85.25     88.4   \n",
       "986     0.00      0.0     9.75    14.25      0.0    14.25     0.00      7.4   \n",
       "987    60.00     71.4    59.50    45.75     46.4    58.75    51.50     60.4   \n",
       "988    17.50      0.0     6.25     0.00      3.4     0.00    25.00     16.8   \n",
       "\n",
       "     2023-05  2023-06  2023-07  \n",
       "0      44.50    53.75     59.0  \n",
       "1      46.75    50.25     36.8  \n",
       "2      64.50    34.75     25.0  \n",
       "3      65.25    58.25     75.4  \n",
       "4      74.00    78.25     74.0  \n",
       "..       ...      ...      ...  \n",
       "984     7.00    13.00     28.0  \n",
       "985    58.00    35.25     29.8  \n",
       "986    25.00     8.25      0.0  \n",
       "987    65.50    16.00     19.8  \n",
       "988     6.00     6.75     20.8  \n",
       "\n",
       "[989 rows x 14 columns]>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "second.describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CSV Files/ai.csv', 'CSV Files/Discord.csv', 'CSV Files/mobile_games.csv', 'CSV Files/bot.csv', 'CSV Files/discord_bot.csv', 'CSV Files/Keywords.csv', 'CSV Files/GenAi.csv']\n",
      "CSV Files/ai.csv\n",
      "CSV Files/Discord.csv\n",
      "CSV Files/mobile_games.csv\n",
      "CSV Files/bot.csv\n",
      "CSV Files/discord_bot.csv\n",
      "CSV Files/Keywords.csv\n",
      "CSV Files/GenAi.csv\n"
     ]
    }
   ],
   "source": [
    "import glob\n",
    "all_csv_files = glob.glob('CSV Files/*.{}'.format('csv'))\n",
    "print(all_csv_files)\n",
    "\n",
    "MasterSheet = pd.DataFrame()\n",
    "\n",
    "for f in all_csv_files:\n",
    "    print(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>beta</td>\n",
       "      <td>28.75</td>\n",
       "      <td>60.50</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.25</td>\n",
       "      <td>23.00</td>\n",
       "      <td>24.2</td>\n",
       "      <td>27.00</td>\n",
       "      <td>41.75</td>\n",
       "      <td>30.8</td>\n",
       "      <td>29.50</td>\n",
       "      <td>33.50</td>\n",
       "      <td>28.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>character ai app</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.50</td>\n",
       "      <td>13.4</td>\n",
       "      <td>59.50</td>\n",
       "      <td>39.25</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chat gpt checker</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>29.2</td>\n",
       "      <td>54.25</td>\n",
       "      <td>65.25</td>\n",
       "      <td>81.2</td>\n",
       "      <td>59.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>character ai filter</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7.75</td>\n",
       "      <td>7.00</td>\n",
       "      <td>49.2</td>\n",
       "      <td>53.25</td>\n",
       "      <td>66.50</td>\n",
       "      <td>84.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>character ai reddit</td>\n",
       "      <td>2.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.25</td>\n",
       "      <td>12.50</td>\n",
       "      <td>25.4</td>\n",
       "      <td>24.50</td>\n",
       "      <td>32.00</td>\n",
       "      <td>54.6</td>\n",
       "      <td>69.75</td>\n",
       "      <td>48.50</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Month  2022-08  2022-09  2022-10  2022-11  2022-12  2023-01  \\\n",
       "0                 beta    28.75    60.50     29.0    24.25    23.00     24.2   \n",
       "1     character ai app     0.25     0.00      0.4     0.25     0.75      1.8   \n",
       "2     chat gpt checker     1.00     0.75      1.4     1.00    27.00     29.2   \n",
       "3  character ai filter     1.75     1.25      1.0     0.25     2.25      3.6   \n",
       "4  character ai reddit     2.75     0.75      3.0     2.25    12.50     25.4   \n",
       "\n",
       "   2023-02  2023-03  2023-04  2023-05  2023-06  2023-07  \n",
       "0    27.00    41.75     30.8    29.50    33.50     28.8  \n",
       "1     3.50     2.50     13.4    59.50    39.25     22.4  \n",
       "2    54.25    65.25     81.2    59.00    31.00     22.4  \n",
       "3     7.75     7.00     49.2    53.25    66.50     84.4  \n",
       "4    24.50    32.00     54.6    69.75    48.50     71.4  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extract the third column from DataFrame 'one'\n",
    "third_column = one.iloc[:, 1]\n",
    "\n",
    "# Extract the last 12 columns from DataFrame 'one'\n",
    "last_12_columns = one.iloc[:, -12:]\n",
    "\n",
    "# Concatenate the third column and the last 12 columns horizontally\n",
    "concatenated_df = pd.concat([third_column, last_12_columns], axis=1)\n",
    "\n",
    "df2 = pd.DataFrame(columns=['Month', '1', '2', '3', '4', '5', '6', '7', '8','9', '10', '11', '12'])\n",
    "\n",
    "concatenated_df1 = pd.concat([df2,concatenated_df])\n",
    "\n",
    "concatenated_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Month</th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "      <th>2022-07</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>beta</td>\n",
       "      <td>28.75</td>\n",
       "      <td>60.50</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.25</td>\n",
       "      <td>23.00</td>\n",
       "      <td>24.2</td>\n",
       "      <td>27.00</td>\n",
       "      <td>41.75</td>\n",
       "      <td>30.8</td>\n",
       "      <td>29.50</td>\n",
       "      <td>33.50</td>\n",
       "      <td>28.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>character ai app</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.50</td>\n",
       "      <td>13.4</td>\n",
       "      <td>59.50</td>\n",
       "      <td>39.25</td>\n",
       "      <td>22.4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>chat gpt checker</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>29.2</td>\n",
       "      <td>54.25</td>\n",
       "      <td>65.25</td>\n",
       "      <td>81.2</td>\n",
       "      <td>59.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>22.4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>character ai filter</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7.75</td>\n",
       "      <td>7.00</td>\n",
       "      <td>49.2</td>\n",
       "      <td>53.25</td>\n",
       "      <td>66.50</td>\n",
       "      <td>84.4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>character ai reddit</td>\n",
       "      <td>2.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.25</td>\n",
       "      <td>12.50</td>\n",
       "      <td>25.4</td>\n",
       "      <td>24.50</td>\n",
       "      <td>32.00</td>\n",
       "      <td>54.6</td>\n",
       "      <td>69.75</td>\n",
       "      <td>48.50</td>\n",
       "      <td>71.4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                Month  2022-08  2022-09  2022-10  2022-11  \\\n",
       "0           0                 beta    28.75    60.50     29.0    24.25   \n",
       "1           1     character ai app     0.25     0.00      0.4     0.25   \n",
       "2           2     chat gpt checker     1.00     0.75      1.4     1.00   \n",
       "3           3  character ai filter     1.75     1.25      1.0     0.25   \n",
       "4           4  character ai reddit     2.75     0.75      3.0     2.25   \n",
       "\n",
       "   2022-12  2023-01  2023-02  2023-03  2023-04  2023-05  2023-06  2023-07  \\\n",
       "0    23.00     24.2    27.00    41.75     30.8    29.50    33.50     28.8   \n",
       "1     0.75      1.8     3.50     2.50     13.4    59.50    39.25     22.4   \n",
       "2    27.00     29.2    54.25    65.25     81.2    59.00    31.00     22.4   \n",
       "3     2.25      3.6     7.75     7.00     49.2    53.25    66.50     84.4   \n",
       "4    12.50     25.4    24.50    32.00     54.6    69.75    48.50     71.4   \n",
       "\n",
       "   2022-07  \n",
       "0      NaN  \n",
       "1      NaN  \n",
       "2      NaN  \n",
       "3      NaN  \n",
       "4      NaN  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import glob\n",
    "import pandas as pd\n",
    "\n",
    "# Get a list of all CSV files in the 'CSV Files' directory\n",
    "all_csv_files = glob.glob('CSV Files/*.{}'.format('csv'))\n",
    "\n",
    "# Create an empty DataFrame to store the concatenated data\n",
    "MasterSheet = pd.DataFrame()\n",
    "\n",
    "# Iterate through each CSV file and concatenate its contents to MasterSheet\n",
    "for f in all_csv_files:\n",
    "    # Read the current CSV file into a DataFrame\n",
    "    df = pd.read_csv(f)\n",
    "    \n",
    "    # Concatenate the current DataFrame to MasterSheet\n",
    "    MasterSheet = pd.concat([MasterSheet, df], ignore_index=True)\n",
    "\n",
    "# Print the first few rows of the concatenated DataFrame\n",
    "MasterSheet.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "columns overlap but no suffix specified: Index(['2022-08', '2022-09', '2022-10', '2022-11', '2022-12', '2023-01',\n       '2023-02', '2023-03', '2023-04', '2023-05'],\n      dtype='object')",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[40], line 16\u001b[0m\n\u001b[1;32m     13\u001b[0m df \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(f)\n\u001b[1;32m     15\u001b[0m \u001b[39m# Extract the first and last 12 columns from the current DataFrame\u001b[39;00m\n\u001b[0;32m---> 16\u001b[0m selected_columns \u001b[39m=\u001b[39m df\u001b[39m.\u001b[39;49miloc[:, :\u001b[39m12\u001b[39;49m]\u001b[39m.\u001b[39;49mjoin(df\u001b[39m.\u001b[39;49miloc[:, \u001b[39m-\u001b[39;49m\u001b[39m12\u001b[39;49m:])\n\u001b[1;32m     18\u001b[0m \u001b[39m# Concatenate the selected columns to MasterSheet\u001b[39;00m\n\u001b[1;32m     19\u001b[0m MasterSheet \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mconcat([MasterSheet, selected_columns], ignore_index\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/core/frame.py:9729\u001b[0m, in \u001b[0;36mDataFrame.join\u001b[0;34m(self, other, on, how, lsuffix, rsuffix, sort, validate)\u001b[0m\n\u001b[1;32m   9566\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mjoin\u001b[39m(\n\u001b[1;32m   9567\u001b[0m     \u001b[39mself\u001b[39m,\n\u001b[1;32m   9568\u001b[0m     other: DataFrame \u001b[39m|\u001b[39m Series \u001b[39m|\u001b[39m Iterable[DataFrame \u001b[39m|\u001b[39m Series],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   9574\u001b[0m     validate: \u001b[39mstr\u001b[39m \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[1;32m   9575\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m DataFrame:\n\u001b[1;32m   9576\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m   9577\u001b[0m \u001b[39m    Join columns of another DataFrame.\u001b[39;00m\n\u001b[1;32m   9578\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   9727\u001b[0m \u001b[39m    5  K1  A5   B1\u001b[39;00m\n\u001b[1;32m   9728\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 9729\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_join_compat(\n\u001b[1;32m   9730\u001b[0m         other,\n\u001b[1;32m   9731\u001b[0m         on\u001b[39m=\u001b[39;49mon,\n\u001b[1;32m   9732\u001b[0m         how\u001b[39m=\u001b[39;49mhow,\n\u001b[1;32m   9733\u001b[0m         lsuffix\u001b[39m=\u001b[39;49mlsuffix,\n\u001b[1;32m   9734\u001b[0m         rsuffix\u001b[39m=\u001b[39;49mrsuffix,\n\u001b[1;32m   9735\u001b[0m         sort\u001b[39m=\u001b[39;49msort,\n\u001b[1;32m   9736\u001b[0m         validate\u001b[39m=\u001b[39;49mvalidate,\n\u001b[1;32m   9737\u001b[0m     )\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/core/frame.py:9768\u001b[0m, in \u001b[0;36mDataFrame._join_compat\u001b[0;34m(self, other, on, how, lsuffix, rsuffix, sort, validate)\u001b[0m\n\u001b[1;32m   9758\u001b[0m     \u001b[39mif\u001b[39;00m how \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mcross\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m   9759\u001b[0m         \u001b[39mreturn\u001b[39;00m merge(\n\u001b[1;32m   9760\u001b[0m             \u001b[39mself\u001b[39m,\n\u001b[1;32m   9761\u001b[0m             other,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   9766\u001b[0m             validate\u001b[39m=\u001b[39mvalidate,\n\u001b[1;32m   9767\u001b[0m         )\n\u001b[0;32m-> 9768\u001b[0m     \u001b[39mreturn\u001b[39;00m merge(\n\u001b[1;32m   9769\u001b[0m         \u001b[39mself\u001b[39;49m,\n\u001b[1;32m   9770\u001b[0m         other,\n\u001b[1;32m   9771\u001b[0m         left_on\u001b[39m=\u001b[39;49mon,\n\u001b[1;32m   9772\u001b[0m         how\u001b[39m=\u001b[39;49mhow,\n\u001b[1;32m   9773\u001b[0m         left_index\u001b[39m=\u001b[39;49mon \u001b[39mis\u001b[39;49;00m \u001b[39mNone\u001b[39;49;00m,\n\u001b[1;32m   9774\u001b[0m         right_index\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m,\n\u001b[1;32m   9775\u001b[0m         suffixes\u001b[39m=\u001b[39;49m(lsuffix, rsuffix),\n\u001b[1;32m   9776\u001b[0m         sort\u001b[39m=\u001b[39;49msort,\n\u001b[1;32m   9777\u001b[0m         validate\u001b[39m=\u001b[39;49mvalidate,\n\u001b[1;32m   9778\u001b[0m     )\n\u001b[1;32m   9779\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m   9780\u001b[0m     \u001b[39mif\u001b[39;00m on \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/core/reshape/merge.py:162\u001b[0m, in \u001b[0;36mmerge\u001b[0;34m(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[1;32m    131\u001b[0m \u001b[39m@Substitution\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39mleft : DataFrame or named Series\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m    132\u001b[0m \u001b[39m@Appender\u001b[39m(_merge_doc, indents\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m)\n\u001b[1;32m    133\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mmerge\u001b[39m(\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    146\u001b[0m     validate: \u001b[39mstr\u001b[39m \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[1;32m    147\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m DataFrame:\n\u001b[1;32m    148\u001b[0m     op \u001b[39m=\u001b[39m _MergeOperation(\n\u001b[1;32m    149\u001b[0m         left,\n\u001b[1;32m    150\u001b[0m         right,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    160\u001b[0m         validate\u001b[39m=\u001b[39mvalidate,\n\u001b[1;32m    161\u001b[0m     )\n\u001b[0;32m--> 162\u001b[0m     \u001b[39mreturn\u001b[39;00m op\u001b[39m.\u001b[39;49mget_result(copy\u001b[39m=\u001b[39;49mcopy)\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/core/reshape/merge.py:811\u001b[0m, in \u001b[0;36m_MergeOperation.get_result\u001b[0;34m(self, copy)\u001b[0m\n\u001b[1;32m    807\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mleft, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mright \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_indicator_pre_merge(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mleft, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mright)\n\u001b[1;32m    809\u001b[0m join_index, left_indexer, right_indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_join_info()\n\u001b[0;32m--> 811\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_reindex_and_concat(\n\u001b[1;32m    812\u001b[0m     join_index, left_indexer, right_indexer, copy\u001b[39m=\u001b[39;49mcopy\n\u001b[1;32m    813\u001b[0m )\n\u001b[1;32m    814\u001b[0m result \u001b[39m=\u001b[39m result\u001b[39m.\u001b[39m__finalize__(\u001b[39mself\u001b[39m, method\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_merge_type)\n\u001b[1;32m    816\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindicator:\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/core/reshape/merge.py:763\u001b[0m, in \u001b[0;36m_MergeOperation._reindex_and_concat\u001b[0;34m(self, join_index, left_indexer, right_indexer, copy)\u001b[0m\n\u001b[1;32m    760\u001b[0m left \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mleft[:]\n\u001b[1;32m    761\u001b[0m right \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mright[:]\n\u001b[0;32m--> 763\u001b[0m llabels, rlabels \u001b[39m=\u001b[39m _items_overlap_with_suffix(\n\u001b[1;32m    764\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mleft\u001b[39m.\u001b[39;49m_info_axis, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mright\u001b[39m.\u001b[39;49m_info_axis, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49msuffixes\n\u001b[1;32m    765\u001b[0m )\n\u001b[1;32m    767\u001b[0m \u001b[39mif\u001b[39;00m left_indexer \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m is_range_indexer(left_indexer, \u001b[39mlen\u001b[39m(left)):\n\u001b[1;32m    768\u001b[0m     \u001b[39m# Pinning the index here (and in the right code just below) is not\u001b[39;00m\n\u001b[1;32m    769\u001b[0m     \u001b[39m#  necessary, but makes the `.take` more performant if we have e.g.\u001b[39;00m\n\u001b[1;32m    770\u001b[0m     \u001b[39m#  a MultiIndex for left.index.\u001b[39;00m\n\u001b[1;32m    771\u001b[0m     lmgr \u001b[39m=\u001b[39m left\u001b[39m.\u001b[39m_mgr\u001b[39m.\u001b[39mreindex_indexer(\n\u001b[1;32m    772\u001b[0m         join_index,\n\u001b[1;32m    773\u001b[0m         left_indexer,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    778\u001b[0m         use_na_proxy\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m,\n\u001b[1;32m    779\u001b[0m     )\n",
      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/pandas/core/reshape/merge.py:2604\u001b[0m, in \u001b[0;36m_items_overlap_with_suffix\u001b[0;34m(left, right, suffixes)\u001b[0m\n\u001b[1;32m   2601\u001b[0m lsuffix, rsuffix \u001b[39m=\u001b[39m suffixes\n\u001b[1;32m   2603\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m lsuffix \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m rsuffix:\n\u001b[0;32m-> 2604\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mcolumns overlap but no suffix specified: \u001b[39m\u001b[39m{\u001b[39;00mto_rename\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n\u001b[1;32m   2606\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mrenamer\u001b[39m(x, suffix):\n\u001b[1;32m   2607\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m   2608\u001b[0m \u001b[39m    Rename the left and right indices.\u001b[39;00m\n\u001b[1;32m   2609\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   2620\u001b[0m \u001b[39m    x : renamed column name\u001b[39;00m\n\u001b[1;32m   2621\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n",
      "\u001b[0;31mValueError\u001b[0m: columns overlap but no suffix specified: Index(['2022-08', '2022-09', '2022-10', '2022-11', '2022-12', '2023-01',\n       '2023-02', '2023-03', '2023-04', '2023-05'],\n      dtype='object')"
     ]
    }
   ],
   "source": [
    "import glob\n",
    "import pandas as pd\n",
    "\n",
    "# Get a list of all CSV files in the 'CSV Files' directory\n",
    "all_csv_files = glob.glob('CSV Files/*.{}'.format('csv'))\n",
    "\n",
    "# Create an empty DataFrame to store the concatenated data\n",
    "MasterSheet = pd.DataFrame()\n",
    "\n",
    "# Iterate through each CSV file and concatenate selected columns to MasterSheet\n",
    "for f in all_csv_files:\n",
    "    # Read the current CSV file into a DataFrame\n",
    "    df = pd.read_csv(f)\n",
    "    \n",
    "    # Extract the first and last 12 columns from the current DataFrame\n",
    "    selected_columns = df.iloc[:, :12].join(df.iloc[:, -12:])\n",
    "    \n",
    "    # Concatenate the selected columns to MasterSheet\n",
    "    MasterSheet = pd.concat([MasterSheet, selected_columns], ignore_index=True)\n",
    "\n",
    "# Print the first few rows of the concatenated DataFrame\n",
    "print(MasterSheet.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>Month</th>\n",
       "      <th>2022-08</th>\n",
       "      <th>2022-09</th>\n",
       "      <th>2022-10</th>\n",
       "      <th>2022-11</th>\n",
       "      <th>2022-12</th>\n",
       "      <th>2023-01</th>\n",
       "      <th>2023-02</th>\n",
       "      <th>2023-03</th>\n",
       "      <th>2023-04</th>\n",
       "      <th>2023-05</th>\n",
       "      <th>2023-06</th>\n",
       "      <th>2023-07</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>beta</td>\n",
       "      <td>28.75</td>\n",
       "      <td>60.50</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.25</td>\n",
       "      <td>23.00</td>\n",
       "      <td>24.2</td>\n",
       "      <td>27.00</td>\n",
       "      <td>41.75</td>\n",
       "      <td>30.8</td>\n",
       "      <td>29.50</td>\n",
       "      <td>33.50</td>\n",
       "      <td>28.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>character ai app</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.50</td>\n",
       "      <td>13.4</td>\n",
       "      <td>59.50</td>\n",
       "      <td>39.25</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chat gpt checker</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>29.2</td>\n",
       "      <td>54.25</td>\n",
       "      <td>65.25</td>\n",
       "      <td>81.2</td>\n",
       "      <td>59.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>character ai filter</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7.75</td>\n",
       "      <td>7.00</td>\n",
       "      <td>49.2</td>\n",
       "      <td>53.25</td>\n",
       "      <td>66.50</td>\n",
       "      <td>84.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>character ai reddit</td>\n",
       "      <td>2.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.25</td>\n",
       "      <td>12.50</td>\n",
       "      <td>25.4</td>\n",
       "      <td>24.50</td>\n",
       "      <td>32.00</td>\n",
       "      <td>54.6</td>\n",
       "      <td>69.75</td>\n",
       "      <td>48.50</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Month  2022-08  2022-09  2022-10  2022-11  2022-12  2023-01  \\\n",
       "0                 beta    28.75    60.50     29.0    24.25    23.00     24.2   \n",
       "1     character ai app     0.25     0.00      0.4     0.25     0.75      1.8   \n",
       "2     chat gpt checker     1.00     0.75      1.4     1.00    27.00     29.2   \n",
       "3  character ai filter     1.75     1.25      1.0     0.25     2.25      3.6   \n",
       "4  character ai reddit     2.75     0.75      3.0     2.25    12.50     25.4   \n",
       "\n",
       "   2023-02  2023-03  2023-04  2023-05  2023-06  2023-07  \n",
       "0    27.00    41.75     30.8    29.50    33.50     28.8  \n",
       "1     3.50     2.50     13.4    59.50    39.25     22.4  \n",
       "2    54.25    65.25     81.2    59.00    31.00     22.4  \n",
       "3     7.75     7.00     49.2    53.25    66.50     84.4  \n",
       "4    24.50    32.00     54.6    69.75    48.50     71.4  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "third_column = one.iloc[:, 1]\n",
    "last_12_columns = one.iloc[:, -12:]\n",
    "\n",
    "concatenated_df = pd.concat([third_column, last_12_columns], axis=1)\n",
    "concatenated_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "all_csv_files = glob.glob('CSV Files/*.{}'.format('csv'))\n",
    "\n",
    "MasterSheet = pd.DataFrame(columns=['Month', '1', '2', '3', '4', '5', '6', '7', '8','9', '10', '11', '12'])\n",
    "\n",
    "for f in all_csv_files:\n",
    "    df = pd.read_csv(f)\n",
    "    third_column = df.iloc[:, 1]\n",
    "    last_12_columns = df.iloc[:, -12:]\n",
    "    concatenated_df = pd.concat([third_column, last_12_columns], axis=1)\n",
    "    concatenated_df.columns = MasterSheet.columns\n",
    "    MasterSheet = pd.concat([MasterSheet, concatenated_df], ignore_index=True)\n",
    "\n",
    "# MasterSheet.to_csv(\"CSV Files/MasterSheet.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>Month</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>beta</td>\n",
       "      <td>28.75</td>\n",
       "      <td>60.50</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.25</td>\n",
       "      <td>23.00</td>\n",
       "      <td>24.2</td>\n",
       "      <td>27.00</td>\n",
       "      <td>41.75</td>\n",
       "      <td>30.8</td>\n",
       "      <td>29.50</td>\n",
       "      <td>33.50</td>\n",
       "      <td>28.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>character ai app</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.50</td>\n",
       "      <td>13.4</td>\n",
       "      <td>59.50</td>\n",
       "      <td>39.25</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chat gpt checker</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>29.2</td>\n",
       "      <td>54.25</td>\n",
       "      <td>65.25</td>\n",
       "      <td>81.2</td>\n",
       "      <td>59.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>character ai filter</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7.75</td>\n",
       "      <td>7.00</td>\n",
       "      <td>49.2</td>\n",
       "      <td>53.25</td>\n",
       "      <td>66.50</td>\n",
       "      <td>84.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>character ai reddit</td>\n",
       "      <td>2.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.25</td>\n",
       "      <td>12.50</td>\n",
       "      <td>25.4</td>\n",
       "      <td>24.50</td>\n",
       "      <td>32.00</td>\n",
       "      <td>54.6</td>\n",
       "      <td>69.75</td>\n",
       "      <td>48.50</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Month      1      2     3      4      5     6      7      8  \\\n",
       "0                 beta  28.75  60.50  29.0  24.25  23.00  24.2  27.00  41.75   \n",
       "1     character ai app   0.25   0.00   0.4   0.25   0.75   1.8   3.50   2.50   \n",
       "2     chat gpt checker   1.00   0.75   1.4   1.00  27.00  29.2  54.25  65.25   \n",
       "3  character ai filter   1.75   1.25   1.0   0.25   2.25   3.6   7.75   7.00   \n",
       "4  character ai reddit   2.75   0.75   3.0   2.25  12.50  25.4  24.50  32.00   \n",
       "\n",
       "      9     10     11    12  \n",
       "0  30.8  29.50  33.50  28.8  \n",
       "1  13.4  59.50  39.25  22.4  \n",
       "2  81.2  59.00  31.00  22.4  \n",
       "3  49.2  53.25  66.50  84.4  \n",
       "4  54.6  69.75  48.50  71.4  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MasterSheet.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Keyword = \"smart watch: (India)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "smart watch\n"
     ]
    }
   ],
   "source": [
    "Keyword = Keyword[:len(Keyword)-9]\n",
    "print(Keyword)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "print(Keyword)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b\n"
     ]
    }
   ],
   "source": [
    "x = [\"a\",\"b\"]\n",
    "if \"b\" in x:\n",
    "    filtered_data = \"b\"\n",
    "else:\n",
    "    filtered_data = \"a\"\n",
    "print(filtered_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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