ViewLog_Analysis-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project Scope"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "log1 = 'anonym_viewthread-20181130.log'\n",
    "log2 = 'anonym_viewthread-20181203.log'\n",
    "log3 = 'anonym_viewthread-20181206.log'\n",
    "\n",
    "lst_20181130 = []\n",
    "lst_20181203 = []\n",
    "lst_20181206 = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in json to list\n",
    "def read_data(log):\n",
    "    output_lst=[]\n",
    "    for line in open(log).readlines():\n",
    "        output_lst.append(json.loads(line))\n",
    "    output_lst\n",
    "    return output_lst\n",
    "#    print(len(feeds_read_from_file))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "lst_20181130 = read_data(log1)\n",
    "lst_20181203 = read_data(log2)\n",
    "lst_20181206 = read_data(log3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'hide': 0,\n",
       " 'uid': '19a456ef3467d0328f6b34bb095c235a8aca86ff',\n",
       " 'views': 395,\n",
       " 'ip': '73.42.000.000',\n",
       " 'tid': '75376e9891f547e4ebac1dc5588f4062c1c31bb3',\n",
       " 'fid': '145',\n",
       " 'date': '2018-11-27 13:33:38',\n",
       " 'credits': 0,\n",
       " 'groupid': '314786709c4319bc9611a782ff5e836f61786592'}"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_20181130[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "lst_20181130_sorted = sorted(lst_20181130, key = lambda k: k['date'])\n",
    "lst_20181203_sorted = sorted(lst_20181203, key = lambda k: k['date'])\n",
    "lst_20181206_sorted = sorted(lst_20181206, key = lambda k: k['date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'hide': 188,\n",
       " 'uid': '19a456ef3467d0328f6b34bb095c235a8aca86ff',\n",
       " 'views': 5899,\n",
       " 'ip': '203.208.000.000',\n",
       " 'tid': '8dab8db6565bb8aac5eb6600de5b4f3073c12e06',\n",
       " 'fid': '145',\n",
       " 'date': '2018-12-03 06:25:08',\n",
       " 'credits': 0,\n",
       " 'groupid': '314786709c4319bc9611a782ff5e836f61786592'}"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_20181206[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1213179"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lst_20181130_sorted) # 921001\n",
    "len(lst_20181203_sorted) # 1015437\n",
    "len(lst_20181206_sorted) #1213179"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Combine data together and convert to pandas\n",
    "df = pd.DataFrame(lst_20181130_sorted + lst_20181203_sorted + lst_20181206_sorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3149617 entries, 0 to 3149616\n",
      "Data columns (total 9 columns):\n",
      "credits    int64\n",
      "date       datetime64[ns]\n",
      "fid        float64\n",
      "groupid    object\n",
      "hide       int64\n",
      "ip         object\n",
      "tid        object\n",
      "uid        object\n",
      "views      float64\n",
      "dtypes: datetime64[ns](1), float64(2), int64(2), object(4)\n",
      "memory usage: 216.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "\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>credits</th>\n",
       "      <th>date</th>\n",
       "      <th>fid</th>\n",
       "      <th>groupid</th>\n",
       "      <th>hide</th>\n",
       "      <th>ip</th>\n",
       "      <th>tid</th>\n",
       "      <th>uid</th>\n",
       "      <th>views</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>97</td>\n",
       "      <td>2018-11-26 19:56:53</td>\n",
       "      <td>71</td>\n",
       "      <td>5b9529731ca73cf5393477c1180f7327565b9a40</td>\n",
       "      <td>0</td>\n",
       "      <td>140.112.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>b364783387071d4691ad70bca305e17550ea00ff</td>\n",
       "      <td>19484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>390</td>\n",
       "      <td>2018-11-26 21:33:54</td>\n",
       "      <td>145</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>188</td>\n",
       "      <td>75.80.000.000</td>\n",
       "      <td>7644cecd7c70ef7a66957fb10d19bbdf052dcb89</td>\n",
       "      <td>142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1</td>\n",
       "      <td>1040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>390</td>\n",
       "      <td>2018-11-26 21:33:59</td>\n",
       "      <td>145</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>75.80.000.000</td>\n",
       "      <td>b7f60cdb299536b58315f49a2a515274a5e556f2</td>\n",
       "      <td>142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>390</td>\n",
       "      <td>2018-11-26 21:34:04</td>\n",
       "      <td>145</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>155</td>\n",
       "      <td>75.80.000.000</td>\n",
       "      <td>f01866d44a8f8ab3e43836277a9d759f59c2f299</td>\n",
       "      <td>142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1845</td>\n",
       "      <td>2018-11-26 21:34:16</td>\n",
       "      <td>28</td>\n",
       "      <td>b45b78dbad5cc24a3e34f9244e634d890bebb1aa</td>\n",
       "      <td>0</td>\n",
       "      <td>169.228.000.000</td>\n",
       "      <td>fa8cf914a57048a783b0f072a27c9c09a8c1d59c</td>\n",
       "      <td>3990556f81ece407f1497de2889b2fc4cf550853</td>\n",
       "      <td>7516</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  credits                 date  fid                                   groupid  \\\n",
       "0      97  2018-11-26 19:56:53   71  5b9529731ca73cf5393477c1180f7327565b9a40   \n",
       "1     390  2018-11-26 21:33:54  145  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9   \n",
       "2     390  2018-11-26 21:33:59  145  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9   \n",
       "3     390  2018-11-26 21:34:04  145  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9   \n",
       "4    1845  2018-11-26 21:34:16   28  b45b78dbad5cc24a3e34f9244e634d890bebb1aa   \n",
       "\n",
       "   hide               ip                                       tid  \\\n",
       "0     0  140.112.000.000  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "1   188    75.80.000.000  7644cecd7c70ef7a66957fb10d19bbdf052dcb89   \n",
       "2     0    75.80.000.000  b7f60cdb299536b58315f49a2a515274a5e556f2   \n",
       "3   155    75.80.000.000  f01866d44a8f8ab3e43836277a9d759f59c2f299   \n",
       "4     0  169.228.000.000  fa8cf914a57048a783b0f072a27c9c09a8c1d59c   \n",
       "\n",
       "                                        uid  views  \n",
       "0  b364783387071d4691ad70bca305e17550ea00ff  19484  \n",
       "1  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1   1040  \n",
       "2  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1     13  \n",
       "3  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1    475  \n",
       "4  3990556f81ece407f1497de2889b2fc4cf550853   7516  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 3149617 observations and 9 variables for this data\n"
     ]
    }
   ],
   "source": [
    "# Dimension of the dataset\n",
    "print(\"There are\", df.shape[0], \"observations and\", df.shape[1], \"variables for this data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Change data type for credits, fid, views and data\n",
    "df['credits'] = pd.to_numeric(df.credits)\n",
    "df['fid'] = pd.to_numeric(df.fid)\n",
    "df['views'] = pd.to_numeric(df.views)\n",
    "\n",
    "f = '%Y-%m-%d %H:%M:%S'\n",
    "df['date'] = pd.to_datetime(df['date'], format = f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "credits    0\n",
       "date       0\n",
       "fid        0\n",
       "groupid    0\n",
       "hide       0\n",
       "ip         0\n",
       "tid        0\n",
       "uid        0\n",
       "views      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check missing values\n",
    "#df['credits'].isnull().sum() #0 missing credits, suspicious as guest should have missing credits\n",
    "#df['fid'].isnull().sum() #512, forum id is missing\n",
    "#df['views'].isnull().sum()/df.shape[0]*100  #20585 threads have no views, only about 0.65% data is missing, which is fine\n",
    "df.isnull().sum(axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# delete missing values in the dataset \n",
    "df = df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# check groupid\n",
    "groupid_info = pd.DataFrame({'Unique values for GroupID ': df['groupid'].value_counts(), \n",
    "                         '% of unqiue values for GroupID': df['groupid'].value_counts()/df.shape[0] \n",
    "                        })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unique values for GroupID</th>\n",
       "      <th>% of unqiue values for GroupID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>314786709c4319bc9611a782ff5e836f61786592</th>\n",
       "      <td>1654368</td>\n",
       "      <td>0.528716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f23f03e1da4c8f5beee35bad0ad12febdfca5995</th>\n",
       "      <td>663060</td>\n",
       "      <td>0.211906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</th>\n",
       "      <td>472292</td>\n",
       "      <td>0.150939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7501729c89e99e2d3eea7612da60d21f2fd7f317</th>\n",
       "      <td>93966</td>\n",
       "      <td>0.030030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b45b78dbad5cc24a3e34f9244e634d890bebb1aa</th>\n",
       "      <td>72185</td>\n",
       "      <td>0.023069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36dedb41152799c38f183131b7a610f89c9dcc27</th>\n",
       "      <td>53683</td>\n",
       "      <td>0.017156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537c3dc836e06cc6f1beb1dde9bf612ac210fe12</th>\n",
       "      <td>46996</td>\n",
       "      <td>0.015019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5b9529731ca73cf5393477c1180f7327565b9a40</th>\n",
       "      <td>36571</td>\n",
       "      <td>0.011688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6fef3174c958fde93c960e6cfd799f46a87b72e7</th>\n",
       "      <td>11429</td>\n",
       "      <td>0.003653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6728fe250ac74d37dc1c5e1a07558e07d26eddba</th>\n",
       "      <td>10982</td>\n",
       "      <td>0.003510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d2dac4b9613a43ce72157fca61673fb611e469b1</th>\n",
       "      <td>5295</td>\n",
       "      <td>0.001692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0f2a9df826daef443b5cd0425b5d598c61d8b86d</th>\n",
       "      <td>1932</td>\n",
       "      <td>0.000617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28c88bb19b621854929ae297cbcf97ef016a87f4</th>\n",
       "      <td>1572</td>\n",
       "      <td>0.000502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e93c66c698195423907f4bd56d9bd8dee4ba40b5</th>\n",
       "      <td>1108</td>\n",
       "      <td>0.000354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553f5ae45af308a0d730c6cd14010fc85905d3b4</th>\n",
       "      <td>935</td>\n",
       "      <td>0.000299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2255f965c49e8a2bf9557454a08c887c2c52fe0b</th>\n",
       "      <td>591</td>\n",
       "      <td>0.000189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cc2a153c4b99b0cd5f7dffba43ba9c86199b2bc1</th>\n",
       "      <td>571</td>\n",
       "      <td>0.000182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668b225982be9576a381ed7bb1dbe1682d97bd44</th>\n",
       "      <td>551</td>\n",
       "      <td>0.000176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27f6450ba7a08712574969711beb31cba63f923d</th>\n",
       "      <td>455</td>\n",
       "      <td>0.000145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e1bbc2330a6ec4d92a52713c51ee2b4bbde8239c</th>\n",
       "      <td>251</td>\n",
       "      <td>0.000080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3f051e9c2c892d6b823e19914c234fff43f27437</th>\n",
       "      <td>125</td>\n",
       "      <td>0.000040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>af57c1010b143c84ce49600b0f4d42ca1bdef107</th>\n",
       "      <td>93</td>\n",
       "      <td>0.000030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466651eb286badfdf8a80832c564b04531036bda</th>\n",
       "      <td>21</td>\n",
       "      <td>0.000007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Unique values for GroupID   \\\n",
       "314786709c4319bc9611a782ff5e836f61786592                     1654368   \n",
       "f23f03e1da4c8f5beee35bad0ad12febdfca5995                      663060   \n",
       "3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9                      472292   \n",
       "7501729c89e99e2d3eea7612da60d21f2fd7f317                       93966   \n",
       "b45b78dbad5cc24a3e34f9244e634d890bebb1aa                       72185   \n",
       "36dedb41152799c38f183131b7a610f89c9dcc27                       53683   \n",
       "537c3dc836e06cc6f1beb1dde9bf612ac210fe12                       46996   \n",
       "5b9529731ca73cf5393477c1180f7327565b9a40                       36571   \n",
       "6fef3174c958fde93c960e6cfd799f46a87b72e7                       11429   \n",
       "6728fe250ac74d37dc1c5e1a07558e07d26eddba                       10982   \n",
       "d2dac4b9613a43ce72157fca61673fb611e469b1                        5295   \n",
       "0f2a9df826daef443b5cd0425b5d598c61d8b86d                        1932   \n",
       "28c88bb19b621854929ae297cbcf97ef016a87f4                        1572   \n",
       "e93c66c698195423907f4bd56d9bd8dee4ba40b5                        1108   \n",
       "553f5ae45af308a0d730c6cd14010fc85905d3b4                         935   \n",
       "2255f965c49e8a2bf9557454a08c887c2c52fe0b                         591   \n",
       "cc2a153c4b99b0cd5f7dffba43ba9c86199b2bc1                         571   \n",
       "668b225982be9576a381ed7bb1dbe1682d97bd44                         551   \n",
       "27f6450ba7a08712574969711beb31cba63f923d                         455   \n",
       "e1bbc2330a6ec4d92a52713c51ee2b4bbde8239c                         251   \n",
       "3f051e9c2c892d6b823e19914c234fff43f27437                         125   \n",
       "af57c1010b143c84ce49600b0f4d42ca1bdef107                          93   \n",
       "466651eb286badfdf8a80832c564b04531036bda                          21   \n",
       "\n",
       "                                          % of unqiue values for GroupID  \n",
       "314786709c4319bc9611a782ff5e836f61786592                        0.528716  \n",
       "f23f03e1da4c8f5beee35bad0ad12febdfca5995                        0.211906  \n",
       "3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9                        0.150939  \n",
       "7501729c89e99e2d3eea7612da60d21f2fd7f317                        0.030030  \n",
       "b45b78dbad5cc24a3e34f9244e634d890bebb1aa                        0.023069  \n",
       "36dedb41152799c38f183131b7a610f89c9dcc27                        0.017156  \n",
       "537c3dc836e06cc6f1beb1dde9bf612ac210fe12                        0.015019  \n",
       "5b9529731ca73cf5393477c1180f7327565b9a40                        0.011688  \n",
       "6fef3174c958fde93c960e6cfd799f46a87b72e7                        0.003653  \n",
       "6728fe250ac74d37dc1c5e1a07558e07d26eddba                        0.003510  \n",
       "d2dac4b9613a43ce72157fca61673fb611e469b1                        0.001692  \n",
       "0f2a9df826daef443b5cd0425b5d598c61d8b86d                        0.000617  \n",
       "28c88bb19b621854929ae297cbcf97ef016a87f4                        0.000502  \n",
       "e93c66c698195423907f4bd56d9bd8dee4ba40b5                        0.000354  \n",
       "553f5ae45af308a0d730c6cd14010fc85905d3b4                        0.000299  \n",
       "2255f965c49e8a2bf9557454a08c887c2c52fe0b                        0.000189  \n",
       "cc2a153c4b99b0cd5f7dffba43ba9c86199b2bc1                        0.000182  \n",
       "668b225982be9576a381ed7bb1dbe1682d97bd44                        0.000176  \n",
       "27f6450ba7a08712574969711beb31cba63f923d                        0.000145  \n",
       "e1bbc2330a6ec4d92a52713c51ee2b4bbde8239c                        0.000080  \n",
       "3f051e9c2c892d6b823e19914c234fff43f27437                        0.000040  \n",
       "af57c1010b143c84ce49600b0f4d42ca1bdef107                        0.000030  \n",
       "466651eb286badfdf8a80832c564b04531036bda                        0.000007  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groupid_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "314786709c4319bc9611a782ff5e836f61786592    1654368\n",
       "Name: groupid, dtype: int64"
      ]
     },
     "execution_count": 313,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_guests['groupid'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Around 53% of people (GroupID:314786709c4319bc9611a782ff5e836f61786592) that reviewed one point three acres were guests (we assume all the users will log in). I think the community is growing at a stable pace.It can attact new guests and maintain users.\n",
    "    * Think about ways to potential attract guest to register. Analyze the drop rate at each stage before the guest successfully registers \n",
    "    \n",
    "\n",
    "* Since most of the groupID are anonymized,I could not really tell the level:\n",
    "    *  One possible way to anlayze is to observe usually how fast users get upgraded to next level or does users have enough motivation to move to next level? \n",
    "    *  At groupID (3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9) level, users start to drop significantly\n",
    "    *  Assumption: is guest dropping out because lot of materials are not available for guests?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# check fid\n",
    "fid_info = pd.DataFrame({'Unique values for FID': df['fid'].value_counts(), \n",
    "                         '% of unqiue values for FID': df['fid'].value_counts()/df.shape[0] \n",
    "                        })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "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>Unique values for FID</th>\n",
       "      <th>% of unqiue values for FID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>145.0</th>\n",
       "      <td>573117</td>\n",
       "      <td>1.831611e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.0</th>\n",
       "      <td>405190</td>\n",
       "      <td>1.294937e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.0</th>\n",
       "      <td>290494</td>\n",
       "      <td>9.283830e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82.0</th>\n",
       "      <td>255500</td>\n",
       "      <td>8.165465e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99.0</th>\n",
       "      <td>178353</td>\n",
       "      <td>5.699942e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237.0</th>\n",
       "      <td>134837</td>\n",
       "      <td>4.309224e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47.0</th>\n",
       "      <td>116798</td>\n",
       "      <td>3.732720e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198.0</th>\n",
       "      <td>90014</td>\n",
       "      <td>2.876736e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79.0</th>\n",
       "      <td>87093</td>\n",
       "      <td>2.783385e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259.0</th>\n",
       "      <td>83758</td>\n",
       "      <td>2.676802e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92.0</th>\n",
       "      <td>75279</td>\n",
       "      <td>2.405824e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71.0</th>\n",
       "      <td>73951</td>\n",
       "      <td>2.363383e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80.0</th>\n",
       "      <td>51341</td>\n",
       "      <td>1.640795e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.0</th>\n",
       "      <td>50466</td>\n",
       "      <td>1.612831e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144.0</th>\n",
       "      <td>49585</td>\n",
       "      <td>1.584675e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>44368</td>\n",
       "      <td>1.417947e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74.0</th>\n",
       "      <td>44102</td>\n",
       "      <td>1.409445e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84.0</th>\n",
       "      <td>34406</td>\n",
       "      <td>1.099573e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187.0</th>\n",
       "      <td>30331</td>\n",
       "      <td>9.693413e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126.0</th>\n",
       "      <td>29796</td>\n",
       "      <td>9.522434e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46.0</th>\n",
       "      <td>27450</td>\n",
       "      <td>8.772681e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124.0</th>\n",
       "      <td>24133</td>\n",
       "      <td>7.712609e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287.0</th>\n",
       "      <td>23126</td>\n",
       "      <td>7.390784e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98.0</th>\n",
       "      <td>18658</td>\n",
       "      <td>5.962866e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125.0</th>\n",
       "      <td>17089</td>\n",
       "      <td>5.461433e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101.0</th>\n",
       "      <td>16817</td>\n",
       "      <td>5.374506e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87.0</th>\n",
       "      <td>16677</td>\n",
       "      <td>5.329763e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73.0</th>\n",
       "      <td>15595</td>\n",
       "      <td>4.983969e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224.0</th>\n",
       "      <td>14299</td>\n",
       "      <td>4.569784e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173.0</th>\n",
       "      <td>13855</td>\n",
       "      <td>4.427887e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296.0</th>\n",
       "      <td>1155</td>\n",
       "      <td>3.691237e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106.0</th>\n",
       "      <td>933</td>\n",
       "      <td>2.981753e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295.0</th>\n",
       "      <td>894</td>\n",
       "      <td>2.857114e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204.0</th>\n",
       "      <td>867</td>\n",
       "      <td>2.770825e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271.0</th>\n",
       "      <td>822</td>\n",
       "      <td>2.627011e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94.0</th>\n",
       "      <td>749</td>\n",
       "      <td>2.393712e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164.0</th>\n",
       "      <td>645</td>\n",
       "      <td>2.061340e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219.0</th>\n",
       "      <td>587</td>\n",
       "      <td>1.875980e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93.0</th>\n",
       "      <td>527</td>\n",
       "      <td>1.684227e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205.0</th>\n",
       "      <td>468</td>\n",
       "      <td>1.495670e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244.0</th>\n",
       "      <td>455</td>\n",
       "      <td>1.454124e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298.0</th>\n",
       "      <td>371</td>\n",
       "      <td>1.185670e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243.0</th>\n",
       "      <td>345</td>\n",
       "      <td>1.102577e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220.0</th>\n",
       "      <td>343</td>\n",
       "      <td>1.096186e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274.0</th>\n",
       "      <td>240</td>\n",
       "      <td>7.670104e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273.0</th>\n",
       "      <td>139</td>\n",
       "      <td>4.442268e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288.0</th>\n",
       "      <td>119</td>\n",
       "      <td>3.803093e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264.0</th>\n",
       "      <td>119</td>\n",
       "      <td>3.803093e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284.0</th>\n",
       "      <td>115</td>\n",
       "      <td>3.675258e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209.0</th>\n",
       "      <td>107</td>\n",
       "      <td>3.419588e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176.0</th>\n",
       "      <td>54</td>\n",
       "      <td>1.725773e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294.0</th>\n",
       "      <td>18</td>\n",
       "      <td>5.752578e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232.0</th>\n",
       "      <td>16</td>\n",
       "      <td>5.113402e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253.0</th>\n",
       "      <td>14</td>\n",
       "      <td>4.474227e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <td>12</td>\n",
       "      <td>3.835052e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246.0</th>\n",
       "      <td>7</td>\n",
       "      <td>2.237114e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241.0</th>\n",
       "      <td>6</td>\n",
       "      <td>1.917526e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268.0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.391753e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186.0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.391753e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248.0</th>\n",
       "      <td>1</td>\n",
       "      <td>3.195877e-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>102 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unique values for FID  % of unqiue values for FID\n",
       "145.0                 573117                1.831611e-01\n",
       "28.0                  405190                1.294937e-01\n",
       "27.0                  290494                9.283830e-02\n",
       "82.0                  255500                8.165465e-02\n",
       "99.0                  178353                5.699942e-02\n",
       "237.0                 134837                4.309224e-02\n",
       "47.0                  116798                3.732720e-02\n",
       "198.0                  90014                2.876736e-02\n",
       "79.0                   87093                2.783385e-02\n",
       "259.0                  83758                2.676802e-02\n",
       "92.0                   75279                2.405824e-02\n",
       "71.0                   73951                2.363383e-02\n",
       "80.0                   51341                1.640795e-02\n",
       "29.0                   50466                1.612831e-02\n",
       "144.0                  49585                1.584675e-02\n",
       "41.0                   44368                1.417947e-02\n",
       "74.0                   44102                1.409445e-02\n",
       "84.0                   34406                1.099573e-02\n",
       "187.0                  30331                9.693413e-03\n",
       "126.0                  29796                9.522434e-03\n",
       "46.0                   27450                8.772681e-03\n",
       "124.0                  24133                7.712609e-03\n",
       "287.0                  23126                7.390784e-03\n",
       "98.0                   18658                5.962866e-03\n",
       "125.0                  17089                5.461433e-03\n",
       "101.0                  16817                5.374506e-03\n",
       "87.0                   16677                5.329763e-03\n",
       "73.0                   15595                4.983969e-03\n",
       "224.0                  14299                4.569784e-03\n",
       "173.0                  13855                4.427887e-03\n",
       "...                      ...                         ...\n",
       "296.0                   1155                3.691237e-04\n",
       "106.0                    933                2.981753e-04\n",
       "295.0                    894                2.857114e-04\n",
       "204.0                    867                2.770825e-04\n",
       "271.0                    822                2.627011e-04\n",
       "94.0                     749                2.393712e-04\n",
       "164.0                    645                2.061340e-04\n",
       "219.0                    587                1.875980e-04\n",
       "93.0                     527                1.684227e-04\n",
       "205.0                    468                1.495670e-04\n",
       "244.0                    455                1.454124e-04\n",
       "298.0                    371                1.185670e-04\n",
       "243.0                    345                1.102577e-04\n",
       "220.0                    343                1.096186e-04\n",
       "274.0                    240                7.670104e-05\n",
       "273.0                    139                4.442268e-05\n",
       "288.0                    119                3.803093e-05\n",
       "264.0                    119                3.803093e-05\n",
       "284.0                    115                3.675258e-05\n",
       "209.0                    107                3.419588e-05\n",
       "176.0                     54                1.725773e-05\n",
       "294.0                     18                5.752578e-06\n",
       "232.0                     16                5.113402e-06\n",
       "253.0                     14                4.474227e-06\n",
       "85.0                      12                3.835052e-06\n",
       "246.0                      7                2.237114e-06\n",
       "241.0                      6                1.917526e-06\n",
       "268.0                      2                6.391753e-07\n",
       "186.0                      2                6.391753e-07\n",
       "248.0                      1                3.195877e-07\n",
       "\n",
       "[102 rows x 2 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fid_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "                                            ...  \n",
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       "Name: tid, Length: 237264, dtype: int64"
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     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['tid'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "uid\n",
       "19a456ef3467d0328f6b34bb095c235a8aca86ff    1654368\n",
       "098edd3332a654e9ec9c762b05ffd13024075a8f       2184\n",
       "f664f1177272d5cbfdd0cc7b513b1b52659215e2       1926\n",
       "08857bd375213fd1a99f0c21725d1f68dc27b32e       1752\n",
       "641237b551e8d8159a4b268e61f15325439b6f98       1601\n",
       "86d0d373da6733179db250ca83ce78ab8c9af67b       1589\n",
       "667d5dd0c1ff8a6230cce9afadc286617f9b5683       1501\n",
       "5f6efabb7cf2953a6f99f0d587b4d271d65e1f6a       1400\n",
       "097d8191a2067980e4d40ef050a5981caabccd98       1358\n",
       "2a6ca357ecb5fb837a47374716df789b0565a5f8       1339\n",
       "300bc8a0b5b7bd651d15397dcab63b38682461a6       1334\n",
       "11d0de20e80e7820bcefceae0f3d51be37107558       1302\n",
       "cc6f5c147e89a8483fafd0be9bd2fb46cb25d71e       1229\n",
       "becdc8aaadfba645edf96451a49a44806e44c8a9       1219\n",
       "17dfae41d15b9436cd00f53b173efc71e27b7171       1174\n",
       "e9c10918b20d6653140cfd409ab06a81631e384c       1117\n",
       "01afe0d5e5b5442a840cfa1deeabbc57780232c0       1116\n",
       "05059daeb93fc3c343fcdb0a2ebcaef2ae81429e       1107\n",
       "e2f1b031ffd60f7c79940283991832a88cd1dcb1       1101\n",
       "9ca140f4251a2d09595fbb0c8e5bd7cd09273ed6       1058\n",
       "a898137115b0b7ebbfb9b914d5df3480fc688521       1028\n",
       "0e4f61f2650518d87c1f68e16983a05d53ef7198        998\n",
       "d42c455babebfb9d41b4fcedec8cb86df656382b        986\n",
       "c88871e98751199371142368bb3758bf2dfe17e6        981\n",
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       "baf1fc66adabdc276a6bc3cde2f2c8c8913c9ce1        961\n",
       "abb54c8741b308691357e1d7057d052f501bc4bf        954\n",
       "9cabb8f009d7e1344dcf29356af2a4eff8b60b40        949\n",
       "f4864bc5a0212521627448b892f2d4315383fa44        944\n",
       "c6ab07594f833b4d67437daa08102bed3dff784d        943\n",
       "                                             ...   \n",
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       "dd33e79fd7c59060f72880479e42b14c30f4ba41          1\n",
       "44feb861d2f150c8ad74431b735b6e5c311f9874          1\n",
       "44f947bc5135380becc6cdd7aef2a900f1d70955          1\n",
       "44f7051e53dd981f0b5db3eef281e902589021a4          1\n",
       "44f69d76073ead29a2d78e36d0fec16188d793c9          1\n",
       "dd6c1e4a1fa7b56cdbdf5042ac45da3928c39a75          1\n",
       "44dbaba377ec28126f4b9d7cd778f49e09444b9d          1\n",
       "44cce721822e2df418931bc622eabf45e4285a52          1\n",
       "44c2af13444dc5e8ebf97c491679e3b859a90eb2          1\n",
       "dd90dc3a69da4ab4771e0514743c84a54c64ae9a          1\n",
       "4497c658515910fa2dc1e6dffb42f7ebc63f5da7          1\n",
       "ddaab1ba187e9a215990e521ee4b6537cc7c9f84          1\n",
       "ddab93a09259d815e042f271ffb808380cec1109          1\n",
       "4475292331eca4468d96d9b94294a7d0db03e5c2          1\n",
       "ddba764a564effad17a515880bd621e8200a3fc4          1\n",
       "44564db168ec434e105fbc84b72829871f31b282          1\n",
       "4445d71f9f5c94cfd20da9abbc287f32d0e3f75a          1\n",
       "443089e2ff0f001437ea4c81e5faf0d845481104          1\n",
       "4411fda68e7021d7faf857ae7dbbade1affce97b          1\n",
       "fffb385a261832e602fc81372757262962902782          1\n",
       "Name: ip, Length: 28971, dtype: int64"
      ]
     },
     "execution_count": 394,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check if people share the same id, same id but different IP location\n",
    "df.groupby(['uid'])['ip'].count().sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " #  Explotory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We split the data into users and guests from the following three perpectives:\n",
    "*  How two groups of people react to different topics?\n",
    "*  How these topics viewable to users and guests?\n",
    "*  How two groups of people react from time perspective?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Top Viewed Forum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "col_names = [\n",
    "    'fid',\n",
    "    'fup',\n",
    "    'type',\n",
    "    'name',\n",
    "    'status',\n",
    "    'displayorder',\n",
    "    'styleid',\n",
    "    'threads',\n",
    "    'posts',\n",
    "    'todayposts',\n",
    "    'yesterdayposts',\n",
    "    'rank',\n",
    "    'oldrank',\n",
    "    'lastpost',\n",
    "    'domain',\n",
    "    'allowsmilies',\n",
    "    'allowhtml',\n",
    "    'allowbbcode',\n",
    "    'allowimgcode',\n",
    "    'allowmediacode',\n",
    "    'allowanonymous',\n",
    "    'allowpostspecial',\n",
    "    'allowspecialonly',\n",
    "    'allowappend',\n",
    "    'alloweditrules',\n",
    "    'allowfeed',\n",
    "    'allowside',\n",
    "    'recyclebin',\n",
    "    'modnewposts',\n",
    "    'jammer',\n",
    "    'disablewatermark',\n",
    "    'inheritedmod',\n",
    "    'autoclose',\n",
    "    'forumcolumns',\n",
    "    'catforumcolumns',\n",
    "    'threadcaches',\n",
    "    'alloweditpost',\n",
    "    'simple',\n",
    "    'modworks',\n",
    "    'allowglobalstick',\n",
    "    'level',\n",
    "    'commoncredits',\n",
    "    'archive',\n",
    "    'recommend',\n",
    "    'favtimes',\n",
    "    'sharetimes',\n",
    "    'disablethumb',\n",
    "    'disablecollect'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "x2_forum_forum = [\n",
    "(26,0,'group','工程类+计算学科交流站',1,3,0,0,0,0,0,0,0,'\t\t\t匿名','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,2,0,40,1,0,0,1,0,0,0,0,0,0,0,0),(27,257,'forum','研究生申请',1,2,0,28543,317305,58,0,1,4,'465698\t大龄女码农跪求学校推荐\t1544950456\tq8099086','',1,0,1,1,0,0,20,0,1,1,0,1,1,0,1,0,1,0,0,0,40,0,0,1,1,0,0,0,0,1285,0,0,0),(28,38,'forum','求职',1,3,0,20044,276132,37,0,2,3,'465882\t求问一下Airbnb SF如果3年H1b没抽到的话有什么政策吗？附new grad offer时间线\t1544949836\tylide','',1,0,1,1,0,0,30,0,1,1,0,1,1,0,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,1952,0,0,0),(29,256,'forum','生活',1,2,0,2634,54184,2,0,3,12,'465381\t阑尾炎手术了解一下\t1544949479\tcielsharon','',1,0,1,1,0,1,30,0,0,1,0,1,1,0,1,0,1,0,0,0,40,0,0,1,1,0,0,0,0,269,0,0,0),(31,0,'group','农闲谷场',1,5,0,0,0,0,0,0,0,'\t\t\t匿名','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,2,0,40,1,0,0,1,0,0,0,0,0,0,0,0),(38,0,'group','学习+工作',1,2,0,0,0,0,0,0,0,'\t\t\t匿名','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,2,0,40,1,0,0,1,0,0,0,0,0,0,0,0),(39,74,'sub','农民公社',1,1,0,1668,23695,3,0,4,39,'448575\t最近加载一亩三分地网站越来越慢了\t1544942376\tmotika','',1,0,1,1,1,0,31,0,0,0,0,1,1,0,1,0,0,0,0,0,40,0,16,1,1,0,0,0,0,30,0,0,0),(41,38,'forum','EECS',1,10,0,5601,77722,5,0,5,16,'423805\t[活动]我在美国上数据库(database design)课程的感受和总结\t1544937697\tyouhanlu','',1,0,1,1,0,0,4,0,1,1,0,1,1,0,1,0,0,-180,0,0,40,0,0,1,1,0,0,0,0,477,0,0,0),(46,172,'sub','数学|统计',1,2,0,2456,41396,1,0,6,53,'465225\t食品博士在读可以自学DS吗？\t1544934997\t幸运星','',1,0,1,1,0,0,4,0,0,1,0,1,1,0,1,0,0,0,0,0,40,0,16,1,1,0,0,0,0,442,0,0,0),(47,265,'forum','签证+手续',1,1,0,12655,124019,10,0,7,8,'465884\t12.4上海二签h1b, 至今仍在ap\t1544950798\tgriffith123','',1,0,1,1,0,0,4,0,1,1,0,1,1,0,1,0,0,-180,0,0,40,0,16,1,1,0,0,0,0,518,0,0,0),(70,142,'sub','同学同事飞友',1,1,0,3830,18832,0,0,8,50,'463871\t2019 CMU 新生聚集地\t1544856669\tp5a1d5','',1,0,1,1,0,0,30,0,0,1,0,1,1,0,0,0,0,60,0,0,40,1,16,1,1,0,0,0,0,83,0,0,0),(71,257,'forum','院系介绍',1,3,0,2035,57174,7,0,9,18,'465757\t犹他大学MSD\t1544948337\tLEIGONHOO','',1,0,1,1,0,0,4,0,1,1,0,1,1,0,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,653,0,0,0),(73,256,'forum','文明灌水',1,5,0,4974,82665,1,0,10,44,'465177\t来美六年多了，年末了突然想理一理\t1544920057\tjjqphysics','',1,0,1,1,0,0,28,0,0,1,1,1,1,2,0,0,1,500,0,0,40,0,8,1,1,0,0,0,0,43,0,0,0),(74,256,'forum','新农必入',1,0,0,22,28790,37,0,11,6,'14564\t新人报道加分100：一人一楼，重复报到扣分！请等待BM人工加分！\t1544950193\tfelix777','',0,0,1,0,0,0,0,0,0,1,0,1,1,1,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,287,0,0,0),(75,83,'sub','其他学科',1,6,0,704,9650,1,0,12,68,'17857\t问个庸俗的问题：BME那个地区读出来的master更好找工作？\t1544930266\tnnm_vickie','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,1,0,0,0,0,0,40,0,16,1,1,0,0,0,0,58,0,0,0),(76,38,'forum','英语能力',1,17,0,462,5744,0,0,13,48,'453497\t托福复习经验分享「首战自学100分」\t1544923465\ttomfor2006','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,1,0,0,0,0,0,40,0,16,1,1,0,0,0,0,224,0,0,0),(78,256,'forum','围城',1,3,0,602,20193,3,0,14,36,'465779\t而立之年，已婚，有子，美国有必要去么？\t1544937118\thygeia1989','',1,0,1,1,0,0,30,0,1,0,1,1,1,0,1,0,0,0,0,0,40,0,8,1,1,0,0,0,0,87,0,0,0),(79,257,'forum','定位选校',1,2,0,12793,140653,20,0,15,15,'465843\t低三维有点科研，感觉很容易跪求大家帮忙看看\t1544949050\tTJU_mooncake','',1,0,1,1,0,0,0,0,1,1,1,1,1,0,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,848,0,0,0),(80,256,'forum','缘来如此',1,1,0,1538,76278,14,0,16,17,'465766\t为什么很多男生表面上对女生笑嘻嘻，背地里却说一些酸话？\t1544942438\tchiquita','',1,0,1,1,0,1,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,0,0,1,1,0,0,0,0,186,0,0,0),(82,257,'forum','录取汇报：研究生',1,3,0,73832,732250,19,0,17,9,'325296\t3rd 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求大米\t1544926508\tjliu','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,13,0,0,0),(91,84,'sub','战拖',1,4,0,447,10145,5,0,23,19,'455808\t每日学习——&gt;跳槽\t1544942820\t小水','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,89,0,0,0),(92,257,'forum','各校进展',1,4,0,17665,199843,2,0,24,37,'465867\t哥大Columbia网申CS的时候，怎么看选择的项目是哪个\t1544942271\tljf792576519','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,640,0,0,0),(93,87,'sub','考试心水',1,3,0,190,1500,0,0,25,70,'465253\t程序员+在职考toefl=一把辛酸泪\t1544757667\tSimonStorm','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,0,16,1,1,0,0,0,0,24,0,0,0),(94,189,'sub','游戏体育',1,4,0,413,5639,0,0,26,71,'387468\t北美哪些学校网球氛围好啊\t1544554524\tleeson9394','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,6,0,0,0),(97,74,'sub','版主区',1,3,0,898,168726,0,0,27,72,'465002\tttst test\t1544677694\twwtpcsuper','',1,1,1,1,0,0,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,23,0,0,0),(98,38,'forum','职场达人',1,4,0,614,11204,5,0,28,20,'465889\tThe worst company Alibaba\t1544949919\tjevine','',1,0,1,1,0,0,31,0,0,1,1,1,1,0,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,492,0,0,0),(99,265,'forum','工作身份',1,0,0,11154,171522,11,0,29,5,'464759\tH1B tranfer non-premium approval\t1544949638\tlxhfirenking','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,1,0,0,-180,0,0,40,0,8,1,1,0,0,0,0,962,0,0,0),(100,189,'sub','旅游',1,2,0,450,4642,0,0,30,49,'465442\tMeet Eminem in Australia &amp;#129315;\t1544927179\tsinged','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,25,0,0,0),(101,172,'sub','金工商|IEOR',1,3,0,1352,22044,0,0,31,55,'462987\tBaruch 19 Fall 第一轮面经\t1544791644\t思锐锐','',1,0,1,1,0,0,4,0,0,1,1,1,1,0,1,0,0,0,0,0,40,0,16,1,1,0,0,0,0,261,0,0,0),(106,73,'sub','争议',1,5,0,61,4280,0,0,32,73,'49103\t介不介意自己的男朋友不是处男\t1544621189\t你若到斯巴达','',1,0,1,1,0,0,30,0,0,0,1,1,1,0,0,0,0,0,0,0,40,0,16,1,1,0,0,0,0,3,0,0,0),(107,84,'sub','回收站',0,5,0,63,623,0,0,33,74,'21165\t战拖延阶段性总结12.29：\t1539702574\tJingciii','',1,0,1,1,0,0,30,0,0,0,1,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,0,0,0,0),(108,0,'group','三分自留地',3,0,0,0,0,0,0,0,0,'','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(109,108,'forum','我申请的学校',3,0,0,0,0,0,0,0,0,'\t\t\t','',1,0,1,1,0,0,127,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(110,108,'forum','我在这个学校学习！',3,0,0,0,0,0,0,0,0,'322056\t闲聊之UCSD的日常\t1544430838\tterihoyhoy','',1,0,1,1,0,0,127,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(111,108,'forum','兴趣联盟',3,0,0,0,0,0,0,0,0,'\t\t\t','',1,0,1,1,0,0,127,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(112,108,'forum','有没有本地的朋友？',3,0,0,0,0,0,0,0,0,'447067\tSouth 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13SPRING\t1360163526\tsjjocey','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,13,0,0,0,0,0,0),(123,74,'sub','手册',0,4,0,0,0,0,0,34,75,'\t\t\t','',1,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,0,1,0,0,0,0,0,0,0,0),(124,29,'sub','车',1,2,0,1730,24544,4,0,35,29,'464608\t推荐几个买卖二手车的网站和app\t1544944936\tcrablittle','',1,0,1,1,0,0,30,0,0,1,0,1,1,0,1,0,0,0,0,0,40,0,16,1,1,0,0,0,0,93,0,0,0),(125,87,'sub','TOEFL',1,0,0,3099,24182,2,0,36,21,'217020\t还好我没放弃\t1544944658\tljpwin3','',1,0,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,213,0,0,0),(126,87,'sub','GRE',1,1,0,3450,36017,6,0,37,32,'431204\tGRE327 V160+Q167超详细高效备考经验（含资料分享）\t1544944431\tshadowz','',1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,40,0,16,1,1,0,0,0,0,240,0,0,0),(127,29,'sub','财务',1,0,0,732,11742,0,0,38,56,'463668\t在美国信用被盗经历\t1544868344\tZeroR','',1,0,1,1,0,1,0,0,0,1,0,1,1,0,0,0,0,0,0,0,40,0,16,1,1,0,0,0,0,56,0,0,0),(128,38,'forum','公开课',1,6,0,228,3497,1,0,39,23,'464890\t【Udacity_CS212】在读PhD转行 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大窗陽光雅房出租, $800/month\t1544251479\thabina','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,32,0,0,2,0,0,0),(142,256,'forum','版聚|本地',1,15,0,556,8476,0,0,40,47,'458544\t南湾初来乍到，寻找组织周末一起玩\t1544940864\tinvoker','',1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,1,0,0,0,40,1,8,1,1,0,0,0,0,76,0,0,0),(144,257,'forum','求比较',1,5,0,7236,83465,0,0,41,33,'459224\t求比较 NYU Courant 和 NEU Seattle\t1544872476\tRootuny','',1,0,1,1,0,0,0,0,1,1,1,1,1,0,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,306,0,0,0),(145,38,'forum','美国面经',1,1,0,38169,465906,140,0,42,2,'464400\t亚麻 欧诶\t1544950494\tdannymmc','',1,0,1,1,0,1,0,0,1,0,0,1,1,0,1,0,0,0,0,0,40,0,8,1,1,0,0,0,0,3052,0,0,0),(146,111,'sub','美剧迷s',3,0,0,0,0,0,0,0,0,'\t\t\t','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(147,110,'sub','PSU',3,0,0,29,100,0,0,0,0,'445374\tPSU park EE\t1537933154\txchai3','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,74,0,0,0,0,0,0),(148,110,'sub','CMU',3,0,0,83,241,0,0,0,0,'386185\t求CMU SVSE 19Spring 组织\t1541217817\tAuptla','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,157,0,0,18,0,0,0),(149,110,'sub','TAMU',3,0,0,64,160,0,0,0,0,'462147\tTAMU 公寓转租\t1543697192\tcfss','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,95,0,0,14,0,0,0),(150,110,'sub','Rice',3,0,0,7,46,0,0,0,0,'400544\tRice暑研租房\t1523935350\tShirley21','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,38,0,0,0,0,0,0),(151,110,'sub','UCSD',3,0,0,34,130,0,0,0,0,'322056\t闲聊之UCSD的日常\t1544430838\tterihoyhoy','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,91,0,0,3,0,0,0),(152,110,'sub','UCSB',3,0,0,9,28,0,0,0,0,'87395\t建了个14FALL新生群，欢迎加入。\t1514274848\t昼夜不停歇','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,24,0,0,0,0,0,0),(153,110,'sub','Rochester',3,0,0,2,5,0,0,0,0,'269038\t有没有好心人介绍一下罗村CS的就业和实习情况？谢谢啦\t1491946385\tReggie','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,1,0,0,2,0,0,0),(154,109,'sub','Columbia',3,0,0,27,79,0,0,0,0,'338548\t哥大2018 Fall ME/EE/统计新生群\t1523079360\tRTZ','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,52,0,0,6,0,0,0),(155,110,'sub','Duke',3,0,0,5,12,0,0,0,0,'392490\t编辑了\t1523413500\tlesleylily','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,11,0,0,0,0,0,0),(156,110,'sub','USC',3,0,0,130,349,0,0,0,0,'464248\t【限女生】citypark 2b2b shared room 官转\t1544397794\t青涩海洋','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,220,0,0,21,0,0,0),(157,110,'sub','UW-Madison',3,0,0,23,61,0,0,0,0,'462846\t毕业转租4b2b的一个房间\t1543943681\tschen586','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,42,0,0,8,0,0,0),(158,110,'sub','SUNY-SB',3,0,0,0,0,0,0,0,0,'\t\t\t','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,1,0,0,0),(159,110,'sub','UPitt',3,0,0,13,57,0,0,0,0,'317227\tPitt药学面试~\t1519455676\t吱吱吱','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,47,0,0,4,0,0,0),(160,110,'sub','UMich',3,0,0,5,9,0,0,0,0,'179497\t2016 Fall Civil Engineering的群~\t1458229804\tKevinGuan','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,6,0,0,0,0,0,0),(161,110,'sub','UCLA',3,0,0,3,7,0,0,0,0,'275962\t請問入學英文能力測試 ESLPE 學長姐印象中是考些怎麼樣的題目呢~?\t1492416654\t1990920','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,7,0,0,0,0,0,0),(162,110,'sub','umass',3,0,0,0,0,0,0,0,0,'\t\t\t','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,2,914,0,0,0,0,0,0),(163,121,'sub','14Fall-CS交流',3,0,0,1,3,0,0,0,0,'105687\tSay Hello to everyone\t1423976382\tfqcprodigy','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,2,0,0,0,0,0,0),(164,73,'sub','投票',1,6,0,185,7596,0,0,43,76,'21171\t身高调查，大家都来~\t1544841213\t裕裕1987','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,2,0,0,0),(165,120,'sub','15-fall-EE',3,0,0,1,6,0,0,0,0,'70043\t自我介绍~\t1433507180\tzhanghui','',0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,6,0,0,0,0,0,0),(166,109,'sub','2014 CMU-MISM 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redux学习资源\t1509583911\tshanni','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,1,0,0,0,0,0,0),(271,273,'sub','&#129305;张大钦',1,2,0,72,75,0,0,82,98,'460965\tEB1A特殊人才移民申请综述\t1543346514\tVisatopia','',1,0,1,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,3,0,0,0),(272,273,'sub','&#129305;曾晖',1,3,0,23,352,0,0,83,59,'465597\t提交EB2-NIW申请对F1-OPT的出入境影响\t1544828909\t阿矾','',1,0,1,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,7,0,0,0),(273,265,'forum','移民律师专栏',1,1,0,1,1,0,0,84,99,'\t\t\t匿名','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,0,0,1,0,0,0,0,33,0,0,0),(274,79,'sub','&#129305;申请导师',1,4,0,100,416,0,0,85,65,'465659\t19FALL MS DS 求定位\t1544842801\tmsun7','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,0,16,1,1,0,0,0,0,37,0,0,0),(276,257,'forum','海本申请',1,3,0,179,810,0,0,86,51,'465805\t16UW本科结果汇报\t1544926437\tfy535889226','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,1,0,1,0,0,0,40,0,8,1,1,0,0,0,0,43,0,0,0),(277,121,'sub','洛杉矶',3,0,0,1,1,0,0,0,0,'431849\t交友\t1530124692\tiris233','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,0,0,0,0,0,0,0),(278,110,'sub','GeorgiaState(GSU)',3,0,0,0,0,0,0,0,0,'\t\t\t','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(279,112,'sub','Metro Detroit',3,0,0,2,2,0,0,0,0,'434028\t神奇的苹果树 不错的啊\t1531531408\t受风寒','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,40,1,0,1,1,1,1,0,0,0,0,0,0),(280,110,'sub','UW',3,0,0,0,0,0,0,0,0,'\t\t\t','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(281,189,'sub','晒主子',1,6,0,79,977,0,0,87,41,'464532\t铲了2年屎，是你报答我的时候了。\t1544843075\twshstc0','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,13,0,0,0),(282,256,'forum','房地产',1,3,0,369,5477,0,0,88,46,'465887\tSF downtown\t1544947561\tverozx','',1,0,1,1,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,0,0,1,1,0,0,0,0,83,0,0,0),(284,189,'sub','健身',1,8,0,8,86,0,0,89,66,'465693\t健身journal\t1544851052\thappydreamer','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,8,0,0,0),(287,98,'sub','八卦我司',1,0,0,241,3024,2,0,90,22,'465889\tThe worst company 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发个timeline\t1544933238\tGZLAX','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,1,0,0,-180,0,0,40,1,16,1,1,0,0,0,0,84,0,0,0),(291,29,'sub','投资',1,1,0,70,1380,2,0,94,27,'465752\tAustin投资房，大家一起来讨论吧\t1544937247\thygeia1989','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,0,16,1,1,0,0,0,0,57,0,0,0),(292,110,'sub','SMU',3,0,0,0,0,0,0,0,0,'\t\t\t','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,0,0,0,0,0,0,0),(293,121,'sub','Google刷题讨论组',3,0,0,2,12,0,0,0,0,'432271\tGoogle 刷题面经讨论组\t1536631322\t格格笑','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,40,1,0,0,1,1,13,0,0,0,0,0,0),(294,282,'sub','&#129305;房产经纪专栏 | 江潇',0,2,0,4,24,0,0,95,101,'438834\t1031 Exchange (投资房产交换）\t1536711557\tXIAOJ','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,1,0,0,0),(295,29,'sub','手机',1,5,0,257,3998,0,0,96,102,'446745\tIf you are single, we are available!\t1544685908\tdarkspart','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,8,0,0,0),(296,29,'sub','健康 | 保险',1,3,0,398,7849,3,0,97,60,'465381\t阑尾炎手术了解一下\t1544949479\tcielsharon','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,17,0,0,0),(297,142,'sub','湾区',1,0,0,616,9612,5,0,98,42,'458544\t南湾初来乍到，寻找组织周末一起玩\t1544940864\tinvoker','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,24,0,0,0),(298,87,'sub','IELTS',1,2,0,148,998,0,0,99,103,'463340\t雅思总分7.5, 阅读8分 - 第二刷\t1544597019\t永远没多远','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,22,0,0,0),(299,265,'forum','移民',1,0,0,808,11769,1,0,100,43,'464609\t有8月底PERM提交wage determination的嘛\t1544936570\tperlin','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,0,1,1,0,0,0,0,127,0,0,0),(300,27,'sub','申请文书',1,0,0,2755,31191,4,0,101,28,'465163\t19FALL ECE CV终稿求建议 （附文书网站推荐\t1544932858\troctaiwan','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,40,1,16,1,1,0,0,0,0,123,0,0,0),(301,99,'sub','H1B Transfer汇报',1,0,0,96,1132,4,0,102,31,'464759\tH1B tranfer non-premium approval\t1544949638\tlxhfirenking','',1,0,1,1,0,0,30,0,0,1,1,1,1,0,1,0,0,-180,0,0,40,1,16,1,1,0,0,0,0,71,0,0,0),(302,38,'forum','机器学习',1,14,0,633,7277,0,0,103,61,'462348\t机器学习`侠`练成记录 Becoming a Machine Learning Practitioner\t1544922491\t小K','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,16,1,1,0,0,0,0,216,0,0,0),(304,237,'sub','TestTC',0,0,0,0,0,0,0,104,104,'','',1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,16,0,1,0,0,0,0,0,0,0,0),(305,110,'sub','Cornell',3,0,0,0,0,0,0,0,0,'','',0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_forum = pd.DataFrame(x2_forum_forum, columns = col_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>39</td>\n",
       "      <td>74</td>\n",
       "      <td>sub</td>\n",
       "      <td>农民公社</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1668</td>\n",
       "      <td>23695</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>41</td>\n",
       "      <td>38</td>\n",
       "      <td>forum</td>\n",
       "      <td>EECS</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>5601</td>\n",
       "      <td>77722</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>477</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>46</td>\n",
       "      <td>172</td>\n",
       "      <td>sub</td>\n",
       "      <td>数学|统计</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2456</td>\n",
       "      <td>41396</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>442</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>47</td>\n",
       "      <td>265</td>\n",
       "      <td>forum</td>\n",
       "      <td>签证+手续</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>12655</td>\n",
       "      <td>124019</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>518</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>70</td>\n",
       "      <td>142</td>\n",
       "      <td>sub</td>\n",
       "      <td>同学同事飞友</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3830</td>\n",
       "      <td>18832</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>83</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>71</td>\n",
       "      <td>257</td>\n",
       "      <td>forum</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2035</td>\n",
       "      <td>57174</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>653</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>73</td>\n",
       "      <td>256</td>\n",
       "      <td>forum</td>\n",
       "      <td>文明灌水</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>4974</td>\n",
       "      <td>82665</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>74</td>\n",
       "      <td>256</td>\n",
       "      <td>forum</td>\n",
       "      <td>新农必入</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>28790</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>287</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>75</td>\n",
       "      <td>83</td>\n",
       "      <td>sub</td>\n",
       "      <td>其他学科</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>704</td>\n",
       "      <td>9650</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>76</td>\n",
       "      <td>38</td>\n",
       "      <td>forum</td>\n",
       "      <td>英语能力</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>462</td>\n",
       "      <td>5744</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>224</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>78</td>\n",
       "      <td>256</td>\n",
       "      <td>forum</td>\n",
       "      <td>围城</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>602</td>\n",
       "      <td>20193</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>79</td>\n",
       "      <td>257</td>\n",
       "      <td>forum</td>\n",
       "      <td>定位选校</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>12793</td>\n",
       "      <td>140653</td>\n",
       "      <td>20</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>848</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>80</td>\n",
       "      <td>256</td>\n",
       "      <td>forum</td>\n",
       "      <td>缘来如此</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1538</td>\n",
       "      <td>76278</td>\n",
       "      <td>14</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>186</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>82</td>\n",
       "      <td>257</td>\n",
       "      <td>forum</td>\n",
       "      <td>录取汇报：研究生</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>73832</td>\n",
       "      <td>732250</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>83</td>\n",
       "      <td>38</td>\n",
       "      <td>forum</td>\n",
       "      <td>机械</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>998</td>\n",
       "      <td>15719</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>154</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>84</td>\n",
       "      <td>38</td>\n",
       "      <td>forum</td>\n",
       "      <td>刷题</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3205</td>\n",
       "      <td>41668</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1078</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>85</td>\n",
       "      <td>84</td>\n",
       "      <td>sub</td>\n",
       "      <td>战拖</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>87</td>\n",
       "      <td>257</td>\n",
       "      <td>forum</td>\n",
       "      <td>英语考试</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2356</td>\n",
       "      <td>21365</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>337</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>89</td>\n",
       "      <td>189</td>\n",
       "      <td>sub</td>\n",
       "      <td>吃货</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>385</td>\n",
       "      <td>6857</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>91</td>\n",
       "      <td>84</td>\n",
       "      <td>sub</td>\n",
       "      <td>战拖</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>447</td>\n",
       "      <td>10145</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>92</td>\n",
       "      <td>257</td>\n",
       "      <td>forum</td>\n",
       "      <td>各校进展</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>17665</td>\n",
       "      <td>199843</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>640</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>93</td>\n",
       "      <td>87</td>\n",
       "      <td>sub</td>\n",
       "      <td>考试心水</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>190</td>\n",
       "      <td>1500</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>94</td>\n",
       "      <td>189</td>\n",
       "      <td>sub</td>\n",
       "      <td>游戏体育</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>413</td>\n",
       "      <td>5639</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>97</td>\n",
       "      <td>74</td>\n",
       "      <td>sub</td>\n",
       "      <td>版主区</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>898</td>\n",
       "      <td>168726</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>271</td>\n",
       "      <td>273</td>\n",
       "      <td>sub</td>\n",
       "      <td>&amp;#129305;张大钦</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>75</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>272</td>\n",
       "      <td>273</td>\n",
       "      <td>sub</td>\n",
       "      <td>&amp;#129305;曾晖</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>352</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>273</td>\n",
       "      <td>265</td>\n",
       "      <td>forum</td>\n",
       "      <td>移民律师专栏</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>274</td>\n",
       "      <td>79</td>\n",
       "      <td>sub</td>\n",
       "      <td>&amp;#129305;申请导师</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>416</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>276</td>\n",
       "      <td>257</td>\n",
       "      <td>forum</td>\n",
       "      <td>海本申请</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>179</td>\n",
       "      <td>810</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>277</td>\n",
       "      <td>121</td>\n",
       "      <td>sub</td>\n",
       "      <td>洛杉矶</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>278</td>\n",
       "      <td>110</td>\n",
       "      <td>sub</td>\n",
       "      <td>GeorgiaState(GSU)</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>279</td>\n",
       "      <td>112</td>\n",
       "      <td>sub</td>\n",
       "      <td>Metro Detroit</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>280</td>\n",
       "      <td>110</td>\n",
       "      <td>sub</td>\n",
       "      <td>UW</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>281</td>\n",
       "      <td>189</td>\n",
       "      <td>sub</td>\n",
       "      <td>晒主子</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>977</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>282</td>\n",
       "      <td>256</td>\n",
       "      <td>forum</td>\n",
       "      <td>房地产</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>369</td>\n",
       "      <td>5477</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>83</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>284</td>\n",
       "      <td>189</td>\n",
       "      <td>sub</td>\n",
       "      <td>健身</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>86</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>287</td>\n",
       "      <td>98</td>\n",
       "      <td>sub</td>\n",
       "      <td>八卦我司</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>241</td>\n",
       "      <td>3024</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>158</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>288</td>\n",
       "      <td>273</td>\n",
       "      <td>sub</td>\n",
       "      <td>&amp;#129305;孟小洁</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>289</td>\n",
       "      <td>145</td>\n",
       "      <td>sub</td>\n",
       "      <td>中国面经</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>66</td>\n",
       "      <td>335</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1624</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>290</td>\n",
       "      <td>99</td>\n",
       "      <td>sub</td>\n",
       "      <td>H1B抽签与批准汇报</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1069</td>\n",
       "      <td>12070</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>291</td>\n",
       "      <td>29</td>\n",
       "      <td>sub</td>\n",
       "      <td>投资</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>1380</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>292</td>\n",
       "      <td>110</td>\n",
       "      <td>sub</td>\n",
       "      <td>SMU</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>293</td>\n",
       "      <td>121</td>\n",
       "      <td>sub</td>\n",
       "      <td>Google刷题讨论组</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>294</td>\n",
       "      <td>282</td>\n",
       "      <td>sub</td>\n",
       "      <td>&amp;#129305;房产经纪专栏 | 江潇</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>295</td>\n",
       "      <td>29</td>\n",
       "      <td>sub</td>\n",
       "      <td>手机</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>257</td>\n",
       "      <td>3998</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>296</td>\n",
       "      <td>29</td>\n",
       "      <td>sub</td>\n",
       "      <td>健康 | 保险</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>398</td>\n",
       "      <td>7849</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>297</td>\n",
       "      <td>142</td>\n",
       "      <td>sub</td>\n",
       "      <td>湾区</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>616</td>\n",
       "      <td>9612</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>298</td>\n",
       "      <td>87</td>\n",
       "      <td>sub</td>\n",
       "      <td>IELTS</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>148</td>\n",
       "      <td>998</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>299</td>\n",
       "      <td>265</td>\n",
       "      <td>forum</td>\n",
       "      <td>移民</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>808</td>\n",
       "      <td>11769</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>127</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>300</td>\n",
       "      <td>27</td>\n",
       "      <td>sub</td>\n",
       "      <td>申请文书</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2755</td>\n",
       "      <td>31191</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>123</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>301</td>\n",
       "      <td>99</td>\n",
       "      <td>sub</td>\n",
       "      <td>H1B Transfer汇报</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>96</td>\n",
       "      <td>1132</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>302</td>\n",
       "      <td>38</td>\n",
       "      <td>forum</td>\n",
       "      <td>机器学习</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>633</td>\n",
       "      <td>7277</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>304</td>\n",
       "      <td>237</td>\n",
       "      <td>sub</td>\n",
       "      <td>TestTC</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>305</td>\n",
       "      <td>110</td>\n",
       "      <td>sub</td>\n",
       "      <td>Cornell</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     fid  fup   type                  name  status  displayorder  styleid  \\\n",
       "0     26    0  group           工程类+计算学科交流站       1             3        0   \n",
       "1     27  257  forum                 研究生申请       1             2        0   \n",
       "2     28   38  forum                    求职       1             3        0   \n",
       "3     29  256  forum                    生活       1             2        0   \n",
       "4     31    0  group                  农闲谷场       1             5        0   \n",
       "5     38    0  group                 学习+工作       1             2        0   \n",
       "6     39   74    sub                  农民公社       1             1        0   \n",
       "7     41   38  forum                  EECS       1            10        0   \n",
       "8     46  172    sub                 数学|统计       1             2        0   \n",
       "9     47  265  forum                 签证+手续       1             1        0   \n",
       "10    70  142    sub                同学同事飞友       1             1        0   \n",
       "11    71  257  forum                  院系介绍       1             3        0   \n",
       "12    73  256  forum                  文明灌水       1             5        0   \n",
       "13    74  256  forum                  新农必入       1             0        0   \n",
       "14    75   83    sub                  其他学科       1             6        0   \n",
       "15    76   38  forum                  英语能力       1            17        0   \n",
       "16    78  256  forum                    围城       1             3        0   \n",
       "17    79  257  forum                  定位选校       1             2        0   \n",
       "18    80  256  forum                  缘来如此       1             1        0   \n",
       "19    82  257  forum              录取汇报：研究生       1             3        0   \n",
       "20    83   38  forum                    机械       1            15        0   \n",
       "21    84   38  forum                    刷题       1             5        0   \n",
       "22    85   84    sub                    战拖       0             3        0   \n",
       "23    87  257  forum                  英语考试       1             0        0   \n",
       "24    89  189    sub                    吃货       1             5        0   \n",
       "25    91   84    sub                    战拖       1             4        0   \n",
       "26    92  257  forum                  各校进展       1             4        0   \n",
       "27    93   87    sub                  考试心水       1             3        0   \n",
       "28    94  189    sub                  游戏体育       1             4        0   \n",
       "29    97   74    sub                   版主区       1             3        0   \n",
       "..   ...  ...    ...                   ...     ...           ...      ...   \n",
       "168  271  273    sub          &#129305;张大钦       1             2        0   \n",
       "169  272  273    sub           &#129305;曾晖       1             3        0   \n",
       "170  273  265  forum                移民律师专栏       1             1        0   \n",
       "171  274   79    sub         &#129305;申请导师       1             4        0   \n",
       "172  276  257  forum                  海本申请       1             3        0   \n",
       "173  277  121    sub                   洛杉矶       3             0        0   \n",
       "174  278  110    sub     GeorgiaState(GSU)       3             0        0   \n",
       "175  279  112    sub         Metro Detroit       3             0        0   \n",
       "176  280  110    sub                    UW       3             0        0   \n",
       "177  281  189    sub                   晒主子       1             6        0   \n",
       "178  282  256  forum                   房地产       1             3        0   \n",
       "179  284  189    sub                    健身       1             8        0   \n",
       "180  287   98    sub                  八卦我司       1             0        0   \n",
       "181  288  273    sub          &#129305;孟小洁       1             1        0   \n",
       "182  289  145    sub                  中国面经       1             2        0   \n",
       "183  290   99    sub            H1B抽签与批准汇报       1             0        0   \n",
       "184  291   29    sub                    投资       1             1        0   \n",
       "185  292  110    sub                   SMU       3             0        0   \n",
       "186  293  121    sub           Google刷题讨论组       3             0        0   \n",
       "187  294  282    sub  &#129305;房产经纪专栏 | 江潇       0             2        0   \n",
       "188  295   29    sub                    手机       1             5        0   \n",
       "189  296   29    sub               健康 | 保险       1             3        0   \n",
       "190  297  142    sub                    湾区       1             0        0   \n",
       "191  298   87    sub                 IELTS       1             2        0   \n",
       "192  299  265  forum                    移民       1             0        0   \n",
       "193  300   27    sub                  申请文书       1             0        0   \n",
       "194  301   99    sub        H1B Transfer汇报       1             0        0   \n",
       "195  302   38  forum                  机器学习       1            14        0   \n",
       "196  304  237    sub                TestTC       0             0        0   \n",
       "197  305  110    sub               Cornell       3             0        0   \n",
       "\n",
       "     threads   posts  todayposts       ...        modworks  allowglobalstick  \\\n",
       "0          0       0           0       ...               0                 1   \n",
       "1      28543  317305          58       ...               1                 1   \n",
       "2      20044  276132          37       ...               1                 1   \n",
       "3       2634   54184           2       ...               1                 1   \n",
       "4          0       0           0       ...               0                 1   \n",
       "5          0       0           0       ...               0                 1   \n",
       "6       1668   23695           3       ...               1                 1   \n",
       "7       5601   77722           5       ...               1                 1   \n",
       "8       2456   41396           1       ...               1                 1   \n",
       "9      12655  124019          10       ...               1                 1   \n",
       "10      3830   18832           0       ...               1                 1   \n",
       "11      2035   57174           7       ...               1                 1   \n",
       "12      4974   82665           1       ...               1                 1   \n",
       "13        22   28790          37       ...               1                 1   \n",
       "14       704    9650           1       ...               1                 1   \n",
       "15       462    5744           0       ...               1                 1   \n",
       "16       602   20193           3       ...               1                 1   \n",
       "17     12793  140653          20       ...               1                 1   \n",
       "18      1538   76278          14       ...               1                 1   \n",
       "19     73832  732250          19       ...               1                 1   \n",
       "20       998   15719           0       ...               1                 1   \n",
       "21      3205   41668          12       ...               1                 1   \n",
       "22         4      46           0       ...               0                 1   \n",
       "23      2356   21365           2       ...               1                 1   \n",
       "24       385    6857           0       ...               1                 1   \n",
       "25       447   10145           5       ...               1                 1   \n",
       "26     17665  199843           2       ...               1                 1   \n",
       "27       190    1500           0       ...               1                 1   \n",
       "28       413    5639           0       ...               1                 1   \n",
       "29       898  168726           0       ...               1                 1   \n",
       "..       ...     ...         ...       ...             ...               ...   \n",
       "168       72      75           0       ...               1                 1   \n",
       "169       23     352           0       ...               1                 1   \n",
       "170        1       1           0       ...               0                 1   \n",
       "171      100     416           0       ...               1                 1   \n",
       "172      179     810           0       ...               1                 1   \n",
       "173        1       1           0       ...               1                 1   \n",
       "174        0       0           0       ...               0                 1   \n",
       "175        2       2           0       ...               1                 1   \n",
       "176        0       0           0       ...               0                 1   \n",
       "177       79     977           0       ...               1                 1   \n",
       "178      369    5477           0       ...               1                 1   \n",
       "179        8      86           0       ...               1                 1   \n",
       "180      241    3024           2       ...               1                 1   \n",
       "181       11      12           0       ...               1                 1   \n",
       "182       66     335           0       ...               1                 1   \n",
       "183     1069   12070           2       ...               1                 1   \n",
       "184       70    1380           2       ...               1                 1   \n",
       "185        0       0           0       ...               0                 1   \n",
       "186        2      12           0       ...               0                 1   \n",
       "187        4      24           0       ...               1                 1   \n",
       "188      257    3998           0       ...               1                 1   \n",
       "189      398    7849           3       ...               1                 1   \n",
       "190      616    9612           5       ...               1                 1   \n",
       "191      148     998           0       ...               1                 1   \n",
       "192      808   11769           1       ...               1                 1   \n",
       "193     2755   31191           4       ...               1                 1   \n",
       "194       96    1132           4       ...               1                 1   \n",
       "195      633    7277           0       ...               1                 1   \n",
       "196        0       0           0       ...               0                 1   \n",
       "197        0       0           0       ...               0                 1   \n",
       "\n",
       "     level commoncredits archive  recommend  favtimes  sharetimes  \\\n",
       "0        0             0       0          0         0           0   \n",
       "1        0             0       0          0      1285           0   \n",
       "2        0             0       0          0      1952           0   \n",
       "3        0             0       0          0       269           0   \n",
       "4        0             0       0          0         0           0   \n",
       "5        0             0       0          0         0           0   \n",
       "6        0             0       0          0        30           0   \n",
       "7        0             0       0          0       477           0   \n",
       "8        0             0       0          0       442           0   \n",
       "9        0             0       0          0       518           0   \n",
       "10       0             0       0          0        83           0   \n",
       "11       0             0       0          0       653           0   \n",
       "12       0             0       0          0        43           0   \n",
       "13       0             0       0          0       287           0   \n",
       "14       0             0       0          0        58           0   \n",
       "15       0             0       0          0       224           0   \n",
       "16       0             0       0          0        87           0   \n",
       "17       0             0       0          0       848           0   \n",
       "18       0             0       0          0       186           0   \n",
       "19       0             0       0          0      2272           0   \n",
       "20       0             0       0          0       154           0   \n",
       "21       0             0       0          0      1078           0   \n",
       "22       0             0       0          0         6           0   \n",
       "23       0             0       0          0       337           0   \n",
       "24       0             0       0          0        13           0   \n",
       "25       0             0       0          0        89           0   \n",
       "26       0             0       0          0       640           0   \n",
       "27       0             0       0          0        24           0   \n",
       "28       0             0       0          0         6           0   \n",
       "29       0             0       0          0        23           0   \n",
       "..     ...           ...     ...        ...       ...         ...   \n",
       "168      0             0       0          0         3           0   \n",
       "169      0             0       0          0         7           0   \n",
       "170      0             0       0          0        33           0   \n",
       "171      0             0       0          0        37           0   \n",
       "172      0             0       0          0        43           0   \n",
       "173      1             0       0          0         0           0   \n",
       "174      1             0       0          0         0           0   \n",
       "175      1             1       0          0         0           0   \n",
       "176      1             0       0          0         0           0   \n",
       "177      0             0       0          0        13           0   \n",
       "178      0             0       0          0        83           0   \n",
       "179      0             0       0          0         8           0   \n",
       "180      0             0       0          0       158           0   \n",
       "181      0             0       0          0         3           0   \n",
       "182      0             0       0          0      1624           0   \n",
       "183      0             0       0          0        84           0   \n",
       "184      0             0       0          0        57           0   \n",
       "185      1             0       0          0         0           0   \n",
       "186      1            13       0          0         0           0   \n",
       "187      0             0       0          0         1           0   \n",
       "188      0             0       0          0         8           0   \n",
       "189      0             0       0          0        17           0   \n",
       "190      0             0       0          0        24           0   \n",
       "191      0             0       0          0        22           0   \n",
       "192      0             0       0          0       127           0   \n",
       "193      0             0       0          0       123           0   \n",
       "194      0             0       0          0        71           0   \n",
       "195      0             0       0          0       216           0   \n",
       "196      0             0       0          0         0           0   \n",
       "197      1             0       0          0         0           0   \n",
       "\n",
       "     disablethumb  disablecollect  \n",
       "0               0               0  \n",
       "1               0               0  \n",
       "2               0               0  \n",
       "3               0               0  \n",
       "4               0               0  \n",
       "5               0               0  \n",
       "6               0               0  \n",
       "7               0               0  \n",
       "8               0               0  \n",
       "9               0               0  \n",
       "10              0               0  \n",
       "11              0               0  \n",
       "12              0               0  \n",
       "13              0               0  \n",
       "14              0               0  \n",
       "15              0               0  \n",
       "16              0               0  \n",
       "17              0               0  \n",
       "18              0               0  \n",
       "19              0               0  \n",
       "20              0               0  \n",
       "21              0               0  \n",
       "22              0               0  \n",
       "23              0               0  \n",
       "24              0               0  \n",
       "25              0               0  \n",
       "26              0               0  \n",
       "27              0               0  \n",
       "28              0               0  \n",
       "29              0               0  \n",
       "..            ...             ...  \n",
       "168             0               0  \n",
       "169             0               0  \n",
       "170             0               0  \n",
       "171             0               0  \n",
       "172             0               0  \n",
       "173             0               0  \n",
       "174             0               0  \n",
       "175             0               0  \n",
       "176             0               0  \n",
       "177             0               0  \n",
       "178             0               0  \n",
       "179             0               0  \n",
       "180             0               0  \n",
       "181             0               0  \n",
       "182             0               0  \n",
       "183             0               0  \n",
       "184             0               0  \n",
       "185             0               0  \n",
       "186             0               0  \n",
       "187             0               0  \n",
       "188             0               0  \n",
       "189             0               0  \n",
       "190             0               0  \n",
       "191             0               0  \n",
       "192             0               0  \n",
       "193             0               0  \n",
       "194             0               0  \n",
       "195             0               0  \n",
       "196             0               0  \n",
       "197             0               0  \n",
       "\n",
       "[198 rows x 48 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_forum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "forum_dict = dict(zip(df_forum['fid'], df_forum['name']))\n",
    "forum_dict\n",
    "df['name'] = df['fid'].map(forum_dict)\n",
    "\n",
    "def user_guest(guest_uid):\n",
    "    if guest_uid == '19a456ef3467d0328f6b34bb095c235a8aca86ff':\n",
    "        val = 'guest'\n",
    "    else: \n",
    "        val = 'user'\n",
    "    return val\n",
    "df['user_guest'] = df['uid'].apply(lambda x: user_guest(x))\n",
    "\n",
    "# create column to see whether content is hidden\n",
    "df['hidden'] = np.where(df['credits'] < df['hide'], 'Yes', 'No')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_guest['groupid'].value_counts() # 314786709c4319bc9611a782ff5e836f61786592 is the guest groupid  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>credits</th>\n",
       "      <th>date</th>\n",
       "      <th>fid</th>\n",
       "      <th>groupid</th>\n",
       "      <th>hide</th>\n",
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       "      <th>0</th>\n",
       "      <td>97</td>\n",
       "      <td>2018-11-26 19:56:53</td>\n",
       "      <td>71.0</td>\n",
       "      <td>5b9529731ca73cf5393477c1180f7327565b9a40</td>\n",
       "      <td>0</td>\n",
       "      <td>140.112.000.000</td>\n",
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       "      <td>b364783387071d4691ad70bca305e17550ea00ff</td>\n",
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       "      <td>390</td>\n",
       "      <td>2018-11-26 21:33:54</td>\n",
       "      <td>145.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>188</td>\n",
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       "      <td>142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1</td>\n",
       "      <td>1040.0</td>\n",
       "      <td>美国面经</td>\n",
       "      <td>user</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>390</td>\n",
       "      <td>2018-11-26 21:33:59</td>\n",
       "      <td>145.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>75.80.000.000</td>\n",
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       "      <td>142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1</td>\n",
       "      <td>13.0</td>\n",
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       "    <tr>\n",
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       "      <td>390</td>\n",
       "      <td>2018-11-26 21:34:04</td>\n",
       "      <td>145.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>155</td>\n",
       "      <td>75.80.000.000</td>\n",
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       "      <td>142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1845</td>\n",
       "      <td>2018-11-26 21:34:16</td>\n",
       "      <td>28.0</td>\n",
       "      <td>b45b78dbad5cc24a3e34f9244e634d890bebb1aa</td>\n",
       "      <td>0</td>\n",
       "      <td>169.228.000.000</td>\n",
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       "      <td>7516.0</td>\n",
       "      <td>求职</td>\n",
       "      <td>user</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   credits                date    fid  \\\n",
       "0       97 2018-11-26 19:56:53   71.0   \n",
       "1      390 2018-11-26 21:33:54  145.0   \n",
       "2      390 2018-11-26 21:33:59  145.0   \n",
       "3      390 2018-11-26 21:34:04  145.0   \n",
       "4     1845 2018-11-26 21:34:16   28.0   \n",
       "\n",
       "                                    groupid  hide               ip  \\\n",
       "0  5b9529731ca73cf5393477c1180f7327565b9a40     0  140.112.000.000   \n",
       "1  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9   188    75.80.000.000   \n",
       "2  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9     0    75.80.000.000   \n",
       "3  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9   155    75.80.000.000   \n",
       "4  b45b78dbad5cc24a3e34f9244e634d890bebb1aa     0  169.228.000.000   \n",
       "\n",
       "                                        tid  \\\n",
       "0  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "1  7644cecd7c70ef7a66957fb10d19bbdf052dcb89   \n",
       "2  b7f60cdb299536b58315f49a2a515274a5e556f2   \n",
       "3  f01866d44a8f8ab3e43836277a9d759f59c2f299   \n",
       "4  fa8cf914a57048a783b0f072a27c9c09a8c1d59c   \n",
       "\n",
       "                                        uid    views  name user_guest  \n",
       "0  b364783387071d4691ad70bca305e17550ea00ff  19484.0  院系介绍       user  \n",
       "1  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1   1040.0  美国面经       user  \n",
       "2  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1     13.0  美国面经       user  \n",
       "3  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1    475.0  美国面经       user  \n",
       "4  3990556f81ece407f1497de2889b2fc4cf550853   7516.0    求职       user  "
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>111.205.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>07be3181d1d0e68e4d72bf93ccb6cfdfc546cb70</td>\n",
       "      <td>19494.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134501</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:38:18</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19495.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138246</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-11-28 01:57:12</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>203.208.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137472</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:53:07</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137334</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:52:27</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137096</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:51:22</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137546</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:53:31</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136749</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:49:32</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136652</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:49:03</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136924</th>\n",
       "      <td>314</td>\n",
       "      <td>2018-11-28 01:50:29</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>0</td>\n",
       "      <td>219.143.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>25821393d65bf034d43ec7ce1a2c68db35448487</td>\n",
       "      <td>19496.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173171</th>\n",
       "      <td>144</td>\n",
       "      <td>2018-11-28 04:36:33</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>198.84.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>47e053668a8c59c037ab002ee2ef19b47e7264a9</td>\n",
       "      <td>19498.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204833</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-11-28 07:00:41</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>128.125.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19501.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214761</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-11-28 07:45:35</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>128.125.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19502.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2937824</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 16:38:07</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>180.152.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19726.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
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       "    <tr>\n",
       "      <th>2944641</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 17:02:14</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>111.206.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19727.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2975336</th>\n",
       "      <td>146</td>\n",
       "      <td>2018-12-05 19:10:18</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>39.174.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>f541942cdf94e2fc7287d1dea38085855fc2b686</td>\n",
       "      <td>19728.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2976002</th>\n",
       "      <td>146</td>\n",
       "      <td>2018-12-05 19:13:19</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>39.174.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>f541942cdf94e2fc7287d1dea38085855fc2b686</td>\n",
       "      <td>19729.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
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       "    <tr>\n",
       "      <th>2976227</th>\n",
       "      <td>146</td>\n",
       "      <td>2018-12-05 19:14:08</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>39.174.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>f541942cdf94e2fc7287d1dea38085855fc2b686</td>\n",
       "      <td>19730.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2985943</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 20:00:30</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>111.206.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19732.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3000674</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 21:19:25</td>\n",
       "      <td>71.0</td>\n",
       "      <td>36dedb41152799c38f183131b7a610f89c9dcc27</td>\n",
       "      <td>0</td>\n",
       "      <td>218.2.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>96a1e21c93080b4b065c777ded1350fe48800b61</td>\n",
       "      <td>19733.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3000707</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 21:19:36</td>\n",
       "      <td>71.0</td>\n",
       "      <td>36dedb41152799c38f183131b7a610f89c9dcc27</td>\n",
       "      <td>0</td>\n",
       "      <td>218.2.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>96a1e21c93080b4b065c777ded1350fe48800b61</td>\n",
       "      <td>19734.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
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       "    <tr>\n",
       "      <th>3003294</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 21:33:02</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>45.56.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19734.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013411</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 22:22:38</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>203.208.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19735.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013764</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 22:24:12</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>203.208.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19736.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3016616</th>\n",
       "      <td>101</td>\n",
       "      <td>2018-12-05 22:36:12</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>223.91.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>06e7d8a318a6f84e6ff4147848b27d019daa21d3</td>\n",
       "      <td>19737.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3018062</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 22:42:26</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>42.236.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19738.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3020635</th>\n",
       "      <td>646</td>\n",
       "      <td>2018-12-05 22:53:57</td>\n",
       "      <td>71.0</td>\n",
       "      <td>7501729c89e99e2d3eea7612da60d21f2fd7f317</td>\n",
       "      <td>0</td>\n",
       "      <td>202.120.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>abc00a9bd697456c48b5e4eeff3138162bd91787</td>\n",
       "      <td>19739.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3021846</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 22:58:43</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>126.241.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19740.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3033244</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-05 23:42:04</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>203.208.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19741.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3045225</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-06 00:26:50</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>203.208.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19742.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3045331</th>\n",
       "      <td>84</td>\n",
       "      <td>2018-12-06 00:27:08</td>\n",
       "      <td>71.0</td>\n",
       "      <td>537c3dc836e06cc6f1beb1dde9bf612ac210fe12</td>\n",
       "      <td>0</td>\n",
       "      <td>115.27.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>4c2e91915ccb07e6bcf09dcf88d7183fa306a257</td>\n",
       "      <td>19743.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3046825</th>\n",
       "      <td>84</td>\n",
       "      <td>2018-12-06 00:33:10</td>\n",
       "      <td>71.0</td>\n",
       "      <td>537c3dc836e06cc6f1beb1dde9bf612ac210fe12</td>\n",
       "      <td>0</td>\n",
       "      <td>113.103.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>90a7f8df340be91faab2adf0566f4a44a8bb531c</td>\n",
       "      <td>19744.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3082554</th>\n",
       "      <td>142</td>\n",
       "      <td>2018-12-06 02:41:30</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>75.128.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>8db1d8c1860084b05226707634d10585c7bd1ff0</td>\n",
       "      <td>19746.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3095355</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-06 03:22:10</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>129.161.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19747.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3082844</th>\n",
       "      <td>148</td>\n",
       "      <td>2018-12-06 02:42:38</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>75.128.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>8db1d8c1860084b05226707634d10585c7bd1ff0</td>\n",
       "      <td>19747.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3096579</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-06 03:25:59</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>129.161.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19748.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3096664</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-06 03:26:13</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>129.161.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19749.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3097260</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-06 03:28:20</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>129.161.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19749.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3097439</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-12-06 03:28:58</td>\n",
       "      <td>71.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>129.161.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>19750.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>guest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3099074</th>\n",
       "      <td>209</td>\n",
       "      <td>2018-12-06 03:33:54</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>128.189.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>96fe3858ab72d3ea3aab73a6cdafc58ecc83b0fd</td>\n",
       "      <td>19751.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3111072</th>\n",
       "      <td>130</td>\n",
       "      <td>2018-12-06 04:15:14</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>150.210.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>3e82af7fd49eb9fba319a44b2a5fbe2ac976ade0</td>\n",
       "      <td>19752.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3111990</th>\n",
       "      <td>130</td>\n",
       "      <td>2018-12-06 04:18:29</td>\n",
       "      <td>71.0</td>\n",
       "      <td>f23f03e1da4c8f5beee35bad0ad12febdfca5995</td>\n",
       "      <td>0</td>\n",
       "      <td>150.210.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>3e82af7fd49eb9fba319a44b2a5fbe2ac976ade0</td>\n",
       "      <td>19753.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3123405</th>\n",
       "      <td>8</td>\n",
       "      <td>2018-12-06 04:58:18</td>\n",
       "      <td>71.0</td>\n",
       "      <td>6728fe250ac74d37dc1c5e1a07558e07d26eddba</td>\n",
       "      <td>0</td>\n",
       "      <td>36.231.000.000</td>\n",
       "      <td>b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a</td>\n",
       "      <td>819e922954b2e531e86539b4a6a37d7aee938281</td>\n",
       "      <td>19754.0</td>\n",
       "      <td>院系介绍</td>\n",
       "      <td>user</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>310 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         credits                date   fid  \\\n",
       "5453         104 2018-11-27 13:48:08  71.0   \n",
       "14613        104 2018-11-27 14:23:20  71.0   \n",
       "14640        104 2018-11-27 14:23:25  71.0   \n",
       "29006          0 2018-11-27 15:18:06  71.0   \n",
       "30409        231 2018-11-27 15:23:24  71.0   \n",
       "35807          2 2018-11-27 15:45:13  71.0   \n",
       "0             97 2018-11-26 19:56:53  71.0   \n",
       "57707          0 2018-11-27 17:34:18  71.0   \n",
       "39260          0 2018-11-27 15:59:43  71.0   \n",
       "61562          0 2018-11-27 17:59:58  71.0   \n",
       "62194          0 2018-11-27 18:04:45  71.0   \n",
       "63210        182 2018-11-27 18:11:57  71.0   \n",
       "63982          0 2018-11-27 18:18:20  71.0   \n",
       "82930          0 2018-11-27 20:45:32  71.0   \n",
       "91321          0 2018-11-27 21:45:38  71.0   \n",
       "92191          0 2018-11-27 21:51:58  71.0   \n",
       "95377          0 2018-11-27 22:13:21  71.0   \n",
       "107940         1 2018-11-27 23:27:46  71.0   \n",
       "134501       314 2018-11-28 01:38:18  71.0   \n",
       "138246         0 2018-11-28 01:57:12  71.0   \n",
       "137472       314 2018-11-28 01:53:07  71.0   \n",
       "137334       314 2018-11-28 01:52:27  71.0   \n",
       "137096       314 2018-11-28 01:51:22  71.0   \n",
       "137546       314 2018-11-28 01:53:31  71.0   \n",
       "136749       314 2018-11-28 01:49:32  71.0   \n",
       "136652       314 2018-11-28 01:49:03  71.0   \n",
       "136924       314 2018-11-28 01:50:29  71.0   \n",
       "173171       144 2018-11-28 04:36:33  71.0   \n",
       "204833         0 2018-11-28 07:00:41  71.0   \n",
       "214761         0 2018-11-28 07:45:35  71.0   \n",
       "...          ...                 ...   ...   \n",
       "2937824        0 2018-12-05 16:38:07  71.0   \n",
       "2944641        0 2018-12-05 17:02:14  71.0   \n",
       "2975336      146 2018-12-05 19:10:18  71.0   \n",
       "2976002      146 2018-12-05 19:13:19  71.0   \n",
       "2976227      146 2018-12-05 19:14:08  71.0   \n",
       "2985943        0 2018-12-05 20:00:30  71.0   \n",
       "3000674        0 2018-12-05 21:19:25  71.0   \n",
       "3000707        0 2018-12-05 21:19:36  71.0   \n",
       "3003294        0 2018-12-05 21:33:02  71.0   \n",
       "3013411        0 2018-12-05 22:22:38  71.0   \n",
       "3013764        0 2018-12-05 22:24:12  71.0   \n",
       "3016616      101 2018-12-05 22:36:12  71.0   \n",
       "3018062        0 2018-12-05 22:42:26  71.0   \n",
       "3020635      646 2018-12-05 22:53:57  71.0   \n",
       "3021846        0 2018-12-05 22:58:43  71.0   \n",
       "3033244        0 2018-12-05 23:42:04  71.0   \n",
       "3045225        0 2018-12-06 00:26:50  71.0   \n",
       "3045331       84 2018-12-06 00:27:08  71.0   \n",
       "3046825       84 2018-12-06 00:33:10  71.0   \n",
       "3082554      142 2018-12-06 02:41:30  71.0   \n",
       "3095355        0 2018-12-06 03:22:10  71.0   \n",
       "3082844      148 2018-12-06 02:42:38  71.0   \n",
       "3096579        0 2018-12-06 03:25:59  71.0   \n",
       "3096664        0 2018-12-06 03:26:13  71.0   \n",
       "3097260        0 2018-12-06 03:28:20  71.0   \n",
       "3097439        0 2018-12-06 03:28:58  71.0   \n",
       "3099074      209 2018-12-06 03:33:54  71.0   \n",
       "3111072      130 2018-12-06 04:15:14  71.0   \n",
       "3111990      130 2018-12-06 04:18:29  71.0   \n",
       "3123405        8 2018-12-06 04:58:18  71.0   \n",
       "\n",
       "                                          groupid  hide               ip  \\\n",
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       "30409    f23f03e1da4c8f5beee35bad0ad12febdfca5995     0  220.132.000.000   \n",
       "35807    36dedb41152799c38f183131b7a610f89c9dcc27     0  111.207.000.000   \n",
       "0        5b9529731ca73cf5393477c1180f7327565b9a40     0  140.112.000.000   \n",
       "57707    314786709c4319bc9611a782ff5e836f61786592     0  104.237.000.000   \n",
       "39260    314786709c4319bc9611a782ff5e836f61786592     0  140.112.000.000   \n",
       "61562    314786709c4319bc9611a782ff5e836f61786592     0  104.237.000.000   \n",
       "62194    314786709c4319bc9611a782ff5e836f61786592     0  104.237.000.000   \n",
       "63210    f23f03e1da4c8f5beee35bad0ad12febdfca5995     0  185.189.000.000   \n",
       "63982    314786709c4319bc9611a782ff5e836f61786592     0   157.55.000.000   \n",
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       "92191    314786709c4319bc9611a782ff5e836f61786592     0  110.184.000.000   \n",
       "95377    314786709c4319bc9611a782ff5e836f61786592     0   42.156.000.000   \n",
       "107940   36dedb41152799c38f183131b7a610f89c9dcc27     0  111.205.000.000   \n",
       "134501   3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9     0  219.143.000.000   \n",
       "138246   314786709c4319bc9611a782ff5e836f61786592     0  203.208.000.000   \n",
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       "204833   314786709c4319bc9611a782ff5e836f61786592     0  128.125.000.000   \n",
       "214761   314786709c4319bc9611a782ff5e836f61786592     0  128.125.000.000   \n",
       "...                                           ...   ...              ...   \n",
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       "3013764  314786709c4319bc9611a782ff5e836f61786592     0  203.208.000.000   \n",
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       "3033244  314786709c4319bc9611a782ff5e836f61786592     0  203.208.000.000   \n",
       "3045225  314786709c4319bc9611a782ff5e836f61786592     0  203.208.000.000   \n",
       "3045331  537c3dc836e06cc6f1beb1dde9bf612ac210fe12     0   115.27.000.000   \n",
       "3046825  537c3dc836e06cc6f1beb1dde9bf612ac210fe12     0  113.103.000.000   \n",
       "3082554  f23f03e1da4c8f5beee35bad0ad12febdfca5995     0   75.128.000.000   \n",
       "3095355  314786709c4319bc9611a782ff5e836f61786592     0  129.161.000.000   \n",
       "3082844  f23f03e1da4c8f5beee35bad0ad12febdfca5995     0   75.128.000.000   \n",
       "3096579  314786709c4319bc9611a782ff5e836f61786592     0  129.161.000.000   \n",
       "3096664  314786709c4319bc9611a782ff5e836f61786592     0  129.161.000.000   \n",
       "3097260  314786709c4319bc9611a782ff5e836f61786592     0  129.161.000.000   \n",
       "3097439  314786709c4319bc9611a782ff5e836f61786592     0  129.161.000.000   \n",
       "3099074  f23f03e1da4c8f5beee35bad0ad12febdfca5995     0  128.189.000.000   \n",
       "3111072  f23f03e1da4c8f5beee35bad0ad12febdfca5995     0  150.210.000.000   \n",
       "3111990  f23f03e1da4c8f5beee35bad0ad12febdfca5995     0  150.210.000.000   \n",
       "3123405  6728fe250ac74d37dc1c5e1a07558e07d26eddba     0   36.231.000.000   \n",
       "\n",
       "                                              tid  \\\n",
       "5453     b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "14613    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "14640    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "29006    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "30409    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "35807    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "0        b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "57707    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "39260    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "61562    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "62194    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "63210    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "63982    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "82930    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "91321    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "92191    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "95377    b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "107940   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "134501   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "138246   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "137472   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "137334   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "137096   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "137546   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "136749   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "136652   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "136924   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "173171   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "204833   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "214761   b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "...                                           ...   \n",
       "2937824  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "2944641  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "2975336  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "2976002  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "2976227  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "2985943  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3000674  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3000707  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3003294  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3013411  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3013764  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3016616  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3018062  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3020635  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3021846  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3033244  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3045225  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3045331  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3046825  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3082554  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3095355  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3082844  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3096579  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3096664  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3097260  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3097439  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3099074  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3111072  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3111990  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "3123405  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "\n",
       "                                              uid    views  name user_guest  \n",
       "5453     dce054831dd51c9c02e569c325969345f305ad6c  19479.0  院系介绍       user  \n",
       "14613    dce054831dd51c9c02e569c325969345f305ad6c  19480.0  院系介绍       user  \n",
       "14640    dce054831dd51c9c02e569c325969345f305ad6c  19481.0  院系介绍       user  \n",
       "29006    19a456ef3467d0328f6b34bb095c235a8aca86ff  19481.0  院系介绍      guest  \n",
       "30409    d9d3cc0027218cda6d2839038a7a008a3a9c7471  19482.0  院系介绍       user  \n",
       "35807    b073182a87f83fee7c74202d04a6e11e1bb03996  19483.0  院系介绍       user  \n",
       "0        b364783387071d4691ad70bca305e17550ea00ff  19484.0  院系介绍       user  \n",
       "57707    19a456ef3467d0328f6b34bb095c235a8aca86ff  19485.0  院系介绍      guest  \n",
       "39260    19a456ef3467d0328f6b34bb095c235a8aca86ff  19485.0  院系介绍      guest  \n",
       "61562    19a456ef3467d0328f6b34bb095c235a8aca86ff  19486.0  院系介绍      guest  \n",
       "62194    19a456ef3467d0328f6b34bb095c235a8aca86ff  19487.0  院系介绍      guest  \n",
       "63210    acedd4f617d89d739cb6cb09ecf7faa15ab269cf  19488.0  院系介绍       user  \n",
       "63982    19a456ef3467d0328f6b34bb095c235a8aca86ff  19489.0  院系介绍      guest  \n",
       "82930    19a456ef3467d0328f6b34bb095c235a8aca86ff  19490.0  院系介绍      guest  \n",
       "91321    19a456ef3467d0328f6b34bb095c235a8aca86ff  19491.0  院系介绍      guest  \n",
       "92191    19a456ef3467d0328f6b34bb095c235a8aca86ff  19492.0  院系介绍      guest  \n",
       "95377    19a456ef3467d0328f6b34bb095c235a8aca86ff  19493.0  院系介绍      guest  \n",
       "107940   07be3181d1d0e68e4d72bf93ccb6cfdfc546cb70  19494.0  院系介绍       user  \n",
       "134501   25821393d65bf034d43ec7ce1a2c68db35448487  19495.0  院系介绍       user  \n",
       "138246   19a456ef3467d0328f6b34bb095c235a8aca86ff  19496.0  院系介绍      guest  \n",
       "137472   25821393d65bf034d43ec7ce1a2c68db35448487  19496.0  院系介绍       user  \n",
       "137334   25821393d65bf034d43ec7ce1a2c68db35448487  19496.0  院系介绍       user  \n",
       "137096   25821393d65bf034d43ec7ce1a2c68db35448487  19496.0  院系介绍       user  \n",
       "137546   25821393d65bf034d43ec7ce1a2c68db35448487  19496.0  院系介绍       user  \n",
       "136749   25821393d65bf034d43ec7ce1a2c68db35448487  19496.0  院系介绍       user  \n",
       "136652   25821393d65bf034d43ec7ce1a2c68db35448487  19496.0  院系介绍       user  \n",
       "136924   25821393d65bf034d43ec7ce1a2c68db35448487  19496.0  院系介绍       user  \n",
       "173171   47e053668a8c59c037ab002ee2ef19b47e7264a9  19498.0  院系介绍       user  \n",
       "204833   19a456ef3467d0328f6b34bb095c235a8aca86ff  19501.0  院系介绍      guest  \n",
       "214761   19a456ef3467d0328f6b34bb095c235a8aca86ff  19502.0  院系介绍      guest  \n",
       "...                                           ...      ...   ...        ...  \n",
       "2937824  19a456ef3467d0328f6b34bb095c235a8aca86ff  19726.0  院系介绍      guest  \n",
       "2944641  19a456ef3467d0328f6b34bb095c235a8aca86ff  19727.0  院系介绍      guest  \n",
       "2975336  f541942cdf94e2fc7287d1dea38085855fc2b686  19728.0  院系介绍       user  \n",
       "2976002  f541942cdf94e2fc7287d1dea38085855fc2b686  19729.0  院系介绍       user  \n",
       "2976227  f541942cdf94e2fc7287d1dea38085855fc2b686  19730.0  院系介绍       user  \n",
       "2985943  19a456ef3467d0328f6b34bb095c235a8aca86ff  19732.0  院系介绍      guest  \n",
       "3000674  96a1e21c93080b4b065c777ded1350fe48800b61  19733.0  院系介绍       user  \n",
       "3000707  96a1e21c93080b4b065c777ded1350fe48800b61  19734.0  院系介绍       user  \n",
       "3003294  19a456ef3467d0328f6b34bb095c235a8aca86ff  19734.0  院系介绍      guest  \n",
       "3013411  19a456ef3467d0328f6b34bb095c235a8aca86ff  19735.0  院系介绍      guest  \n",
       "3013764  19a456ef3467d0328f6b34bb095c235a8aca86ff  19736.0  院系介绍      guest  \n",
       "3016616  06e7d8a318a6f84e6ff4147848b27d019daa21d3  19737.0  院系介绍       user  \n",
       "3018062  19a456ef3467d0328f6b34bb095c235a8aca86ff  19738.0  院系介绍      guest  \n",
       "3020635  abc00a9bd697456c48b5e4eeff3138162bd91787  19739.0  院系介绍       user  \n",
       "3021846  19a456ef3467d0328f6b34bb095c235a8aca86ff  19740.0  院系介绍      guest  \n",
       "3033244  19a456ef3467d0328f6b34bb095c235a8aca86ff  19741.0  院系介绍      guest  \n",
       "3045225  19a456ef3467d0328f6b34bb095c235a8aca86ff  19742.0  院系介绍      guest  \n",
       "3045331  4c2e91915ccb07e6bcf09dcf88d7183fa306a257  19743.0  院系介绍       user  \n",
       "3046825  90a7f8df340be91faab2adf0566f4a44a8bb531c  19744.0  院系介绍       user  \n",
       "3082554  8db1d8c1860084b05226707634d10585c7bd1ff0  19746.0  院系介绍       user  \n",
       "3095355  19a456ef3467d0328f6b34bb095c235a8aca86ff  19747.0  院系介绍      guest  \n",
       "3082844  8db1d8c1860084b05226707634d10585c7bd1ff0  19747.0  院系介绍       user  \n",
       "3096579  19a456ef3467d0328f6b34bb095c235a8aca86ff  19748.0  院系介绍      guest  \n",
       "3096664  19a456ef3467d0328f6b34bb095c235a8aca86ff  19749.0  院系介绍      guest  \n",
       "3097260  19a456ef3467d0328f6b34bb095c235a8aca86ff  19749.0  院系介绍      guest  \n",
       "3097439  19a456ef3467d0328f6b34bb095c235a8aca86ff  19750.0  院系介绍      guest  \n",
       "3099074  96fe3858ab72d3ea3aab73a6cdafc58ecc83b0fd  19751.0  院系介绍       user  \n",
       "3111072  3e82af7fd49eb9fba319a44b2a5fbe2ac976ade0  19752.0  院系介绍       user  \n",
       "3111990  3e82af7fd49eb9fba319a44b2a5fbe2ac976ade0  19753.0  院系介绍       user  \n",
       "3123405  819e922954b2e531e86539b4a6a37d7aee938281  19754.0  院系介绍       user  \n",
       "\n",
       "[310 rows x 11 columns]"
      ]
     },
     "execution_count": 318,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['tid'] == 'b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a'].sort_values(by= 'views')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_users = df.loc[df['user_guest'] == 'user']\n",
    "df_guests = df.loc[df['user_guest'] == 'guest']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>美国面经</td>\n",
       "      <td>22.591316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>求职</td>\n",
       "      <td>13.912796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>研究生申请</td>\n",
       "      <td>7.758513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>录取汇报：研究生</td>\n",
       "      <td>7.077951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>晒工资抖包袱</td>\n",
       "      <td>6.802227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>工作身份</td>\n",
       "      <td>3.774283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>数科面经</td>\n",
       "      <td>3.627403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>定位选校</td>\n",
       "      <td>3.186217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>内推</td>\n",
       "      <td>3.066461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>院系介绍</td>\n",
       "      <td>2.538409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>签证+手续</td>\n",
       "      <td>2.211419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>缘来如此</td>\n",
       "      <td>2.188770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>新农必入</td>\n",
       "      <td>1.676382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>生活</td>\n",
       "      <td>1.500749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>各校进展</td>\n",
       "      <td>1.419713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>签到</td>\n",
       "      <td>1.201765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>求比较</td>\n",
       "      <td>1.201019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>EECS</td>\n",
       "      <td>1.038609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>八卦我司</td>\n",
       "      <td>0.978935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>刷题</td>\n",
       "      <td>0.895323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>职场达人</td>\n",
       "      <td>0.745187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>租房广告|找室友</td>\n",
       "      <td>0.649911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>申请文书</td>\n",
       "      <td>0.570571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>招生</td>\n",
       "      <td>0.506353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>H1B Transfer汇报</td>\n",
       "      <td>0.440575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>数学|统计</td>\n",
       "      <td>0.409178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>GRE</td>\n",
       "      <td>0.407415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>车</td>\n",
       "      <td>0.404228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>数据科学</td>\n",
       "      <td>0.385783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>金工商|IEOR</td>\n",
       "      <td>0.369915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>争议</td>\n",
       "      <td>0.045298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&amp;#129305;曾晖</td>\n",
       "      <td>0.045231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>做项目</td>\n",
       "      <td>0.037636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>EB5 投资移民</td>\n",
       "      <td>0.016750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DB|大数据|云计算</td>\n",
       "      <td>0.016139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>订阅</td>\n",
       "      <td>0.015326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>手机</td>\n",
       "      <td>0.015054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>健康 | 保险</td>\n",
       "      <td>0.013969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&amp;#129305;申请导师</td>\n",
       "      <td>0.013156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>网络|移动app开发</td>\n",
       "      <td>0.013088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>投票</td>\n",
       "      <td>0.012545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>IELTS</td>\n",
       "      <td>0.012206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>网络|OS</td>\n",
       "      <td>0.009290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>挂牌</td>\n",
       "      <td>0.009087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>去向</td>\n",
       "      <td>0.007595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>考试心水</td>\n",
       "      <td>0.007188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&amp;#129305;张大钦</td>\n",
       "      <td>0.007052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>健身</td>\n",
       "      <td>0.003323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>游戏体育</td>\n",
       "      <td>0.002848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>misc</td>\n",
       "      <td>0.002509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>版主练习</td>\n",
       "      <td>0.002441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&amp;#129305;孟小洁</td>\n",
       "      <td>0.001967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>汇编|硬件</td>\n",
       "      <td>0.001356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>移民律师专栏</td>\n",
       "      <td>0.000475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2班</td>\n",
       "      <td>0.000271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>回收站</td>\n",
       "      <td>0.000203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3班</td>\n",
       "      <td>0.000203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>广播专版</td>\n",
       "      <td>0.000136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>就业培训总版</td>\n",
       "      <td>0.000068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>系统设计</td>\n",
       "      <td>0.000068</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>98 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              name          %\n",
       "84            美国面经  22.591316\n",
       "63              求职  13.912796\n",
       "74           研究生申请   7.758513\n",
       "43        录取汇报：研究生   7.077951\n",
       "59          晒工资抖包袱   6.802227\n",
       "41            工作身份   3.774283\n",
       "54            数科面经   3.627403\n",
       "39            定位选校   3.186217\n",
       "28              内推   3.066461\n",
       "97            院系介绍   2.538409\n",
       "79           签证+手续   2.211419\n",
       "81            缘来如此   2.188770\n",
       "56            新农必入   1.676382\n",
       "72              生活   1.500749\n",
       "34            各校进展   1.419713\n",
       "78              签到   1.201765\n",
       "62             求比较   1.201019\n",
       "11            EECS   1.038609\n",
       "25            八卦我司   0.978935\n",
       "30              刷题   0.895323\n",
       "87            职场达人   0.745187\n",
       "75        租房广告|找室友   0.649911\n",
       "73            申请文书   0.570571\n",
       "49              招生   0.506353\n",
       "13  H1B Transfer汇报   0.440575\n",
       "52           数学|统计   0.409178\n",
       "12             GRE   0.407415\n",
       "94               车   0.404228\n",
       "53            数据科学   0.385783\n",
       "95        金工商|IEOR   0.369915\n",
       "..             ...        ...\n",
       "20              争议   0.045298\n",
       "3      &#129305;曾晖   0.045231\n",
       "21             做项目   0.037636\n",
       "10        EB5 投资移民   0.016750\n",
       "9       DB|大数据|云计算   0.016139\n",
       "91              订阅   0.015326\n",
       "46              手机   0.015054\n",
       "22         健康 | 保险   0.013969\n",
       "4    &#129305;申请导师   0.013156\n",
       "83      网络|移动app开发   0.013088\n",
       "47              投票   0.012545\n",
       "15           IELTS   0.012206\n",
       "82           网络|OS   0.009290\n",
       "50              挂牌   0.009087\n",
       "32              去向   0.007595\n",
       "86            考试心水   0.007188\n",
       "2     &#129305;张大钦   0.007052\n",
       "23              健身   0.003323\n",
       "67            游戏体育   0.002848\n",
       "18            misc   0.002509\n",
       "70            版主练习   0.002441\n",
       "1     &#129305;孟小洁   0.001967\n",
       "64           汇编|硬件   0.001356\n",
       "77          移民律师专栏   0.000475\n",
       "5               2班   0.000271\n",
       "36             回收站   0.000203\n",
       "6               3班   0.000203\n",
       "42            广播专版   0.000136\n",
       "40          就业培训总版   0.000068\n",
       "80            系统设计   0.000068\n",
       "\n",
       "[98 rows x 2 columns]"
      ]
     },
     "execution_count": 389,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_forum_user = df_users.groupby(['name']).size().reset_index(name='count')\n",
    "#by_forum_user.sort_values( by = 'count',ascending = False)\n",
    "by_forum_user_pert = df_users.groupby(['name']).size()/by_forum_user['count'].sum(axis=0) * 100\n",
    "by_forum_user_pert.reset_index(name='%').sort_values(by = '%',ascending = False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {
    "scrolled": true
   },
   "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>name</th>\n",
       "      <th>%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>美国面经</td>\n",
       "      <td>14.505297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>求职</td>\n",
       "      <td>12.090599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>研究生申请</td>\n",
       "      <td>10.643460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>录取汇报：研究生</td>\n",
       "      <td>9.134848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>工作身份</td>\n",
       "      <td>7.416427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>签证+手续</td>\n",
       "      <td>5.088771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>各校进展</td>\n",
       "      <td>3.284819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>内推</td>\n",
       "      <td>2.707620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>定位选校</td>\n",
       "      <td>2.424309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>院系介绍</td>\n",
       "      <td>2.207369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>晒工资抖包袱</td>\n",
       "      <td>2.087021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>求比较</td>\n",
       "      <td>1.926657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>数科面经</td>\n",
       "      <td>1.829460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>EECS</td>\n",
       "      <td>1.756078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>生活</td>\n",
       "      <td>1.712739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>GRE</td>\n",
       "      <td>1.437890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>数学|统计</td>\n",
       "      <td>1.294512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>刷题</td>\n",
       "      <td>1.281637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>新农必入</td>\n",
       "      <td>1.171505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>缘来如此</td>\n",
       "      <td>1.152343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>车</td>\n",
       "      <td>1.098426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>签到</td>\n",
       "      <td>0.762164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>TOEFL</td>\n",
       "      <td>0.755576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>英语考试</td>\n",
       "      <td>0.700026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>金工商|IEOR</td>\n",
       "      <td>0.686788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>文明灌水</td>\n",
       "      <td>0.663758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>回收站</td>\n",
       "      <td>0.567347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>老生常谈</td>\n",
       "      <td>0.535068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>农民公社</td>\n",
       "      <td>0.534645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>八卦我司</td>\n",
       "      <td>0.525276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>游戏体育</td>\n",
       "      <td>0.042735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>做项目</td>\n",
       "      <td>0.041406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>手机</td>\n",
       "      <td>0.040620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>DB|大数据|云计算</td>\n",
       "      <td>0.038021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>海本申请</td>\n",
       "      <td>0.037779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>晒主子</td>\n",
       "      <td>0.032339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>投票</td>\n",
       "      <td>0.027805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>考试心水</td>\n",
       "      <td>0.025448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>官方app</td>\n",
       "      <td>0.022728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>订阅</td>\n",
       "      <td>0.021821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>网络|OS</td>\n",
       "      <td>0.020008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>挂牌</td>\n",
       "      <td>0.019403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>争议</td>\n",
       "      <td>0.016018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>版主区</td>\n",
       "      <td>0.014265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>去向</td>\n",
       "      <td>0.013963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>IELTS</td>\n",
       "      <td>0.011545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>移民律师专栏</td>\n",
       "      <td>0.007979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>EB5 投资移民</td>\n",
       "      <td>0.005924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&amp;#129305;孟小洁</td>\n",
       "      <td>0.005440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>汇编|硬件</td>\n",
       "      <td>0.005259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>misc</td>\n",
       "      <td>0.004957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>健身</td>\n",
       "      <td>0.003989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&amp;#129305;申请导师</td>\n",
       "      <td>0.002781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&amp;#129305;房产经纪专栏 | 江潇</td>\n",
       "      <td>0.001088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>版主练习</td>\n",
       "      <td>0.001088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>TestJob</td>\n",
       "      <td>0.000967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3班</td>\n",
       "      <td>0.000665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1班</td>\n",
       "      <td>0.000363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2班</td>\n",
       "      <td>0.000181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>系统设计</td>\n",
       "      <td>0.000060</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>99 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    name          %\n",
       "85                  美国面经  14.505297\n",
       "64                    求职  12.090599\n",
       "75                 研究生申请  10.643460\n",
       "44              录取汇报：研究生   9.134848\n",
       "43                  工作身份   7.416427\n",
       "80                 签证+手续   5.088771\n",
       "37                  各校进展   3.284819\n",
       "31                    内推   2.707620\n",
       "42                  定位选校   2.424309\n",
       "98                  院系介绍   2.207369\n",
       "60                晒工资抖包袱   2.087021\n",
       "63                   求比较   1.926657\n",
       "55                  数科面经   1.829460\n",
       "13                  EECS   1.756078\n",
       "73                    生活   1.712739\n",
       "14                   GRE   1.437890\n",
       "53                 数学|统计   1.294512\n",
       "33                    刷题   1.281637\n",
       "57                  新农必入   1.171505\n",
       "82                  缘来如此   1.152343\n",
       "95                     车   1.098426\n",
       "79                    签到   0.762164\n",
       "18                 TOEFL   0.755576\n",
       "90                  英语考试   0.700026\n",
       "96              金工商|IEOR   0.686788\n",
       "56                  文明灌水   0.663758\n",
       "39                   回收站   0.567347\n",
       "86                  老生常谈   0.535068\n",
       "32                  农民公社   0.534645\n",
       "28                  八卦我司   0.525276\n",
       "..                   ...        ...\n",
       "68                  游戏体育   0.042735\n",
       "24                   做项目   0.041406\n",
       "47                    手机   0.040620\n",
       "11            DB|大数据|云计算   0.038021\n",
       "66                  海本申请   0.037779\n",
       "59                   晒主子   0.032339\n",
       "48                    投票   0.027805\n",
       "87                  考试心水   0.025448\n",
       "41                 官方app   0.022728\n",
       "92                    订阅   0.021821\n",
       "83                 网络|OS   0.020008\n",
       "51                    挂牌   0.019403\n",
       "23                    争议   0.016018\n",
       "70                   版主区   0.014265\n",
       "35                    去向   0.013963\n",
       "17                 IELTS   0.011545\n",
       "78                移民律师专栏   0.007979\n",
       "12              EB5 投资移民   0.005924\n",
       "1           &#129305;孟小洁   0.005440\n",
       "65                 汇编|硬件   0.005259\n",
       "21                  misc   0.004957\n",
       "26                    健身   0.003989\n",
       "5          &#129305;申请导师   0.002781\n",
       "3   &#129305;房产经纪专栏 | 江潇   0.001088\n",
       "71                  版主练习   0.001088\n",
       "19               TestJob   0.000967\n",
       "8                     3班   0.000665\n",
       "6                     1班   0.000363\n",
       "7                     2班   0.000181\n",
       "81                  系统设计   0.000060\n",
       "\n",
       "[99 rows x 2 columns]"
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_forum_guest = df_guests.groupby(['name']).size().reset_index(name='count')\n",
    "by_forum_guest.sort_values(by = 'count', ascending = False)\n",
    "by_forum_guest_pert = df_guests.groupby(['name']).size()/by_forum_guest['count'].sum(axis=0) * 100\n",
    "by_forum_guest_pert.reset_index(name='%').sort_values(by = '%',ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*  For both users and guests, 美国面经,求职,研究生申请,录取汇报:研究生 are the top four viewd forum topics, consisting around 50% of total population;\n",
    "*  Percentage wise, guests reviewd more in 工作身份,签证, almost doubled for the users. While users are more interested in wage; \n",
    "*  Among all the 面经,data science is most popular compared to EECS, which against the traditional thoughts that 1point3acres is famous for EECS. Probably due to recent booming of data science, topics starts to shift. If have more historical data, we could find which topics start to be discussed more frequently so that we know which area is hot and we could setup relevant courses to increase revenue. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the above preliminary analysis, I think I could draw some insights to increase user engagement:\n",
    "*  keep old customers (user retention): \n",
    "*  attract new customers (attract guests): select the most viewed interesting topics such as 美国面经,求职,研究生申请,录取汇报:研究生,工作身份,签证.etc.at a notable place to attract more guests "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.Credits Distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "  *  Assumption: can we attract more guest by manipulating how guests view the threads?\n",
    "      *  Need to check whether threads is viewable for the topics that guests interested"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "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>credits</th>\n",
       "      <th>date</th>\n",
       "      <th>fid</th>\n",
       "      <th>groupid</th>\n",
       "      <th>hide</th>\n",
       "      <th>ip</th>\n",
       "      <th>tid</th>\n",
       "      <th>uid</th>\n",
       "      <th>views</th>\n",
       "      <th>name</th>\n",
       "      <th>user_guest</th>\n",
       "      <th>hidden</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1540</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-11-27 13:33:38</td>\n",
       "      <td>145.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>73.42.000.000</td>\n",
       "      <td>75376e9891f547e4ebac1dc5588f4062c1c31bb3</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>395.0</td>\n",
       "      <td>美国面经</td>\n",
       "      <td>guest</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303250</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-11-28 13:11:05</td>\n",
       "      <td>145.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>0</td>\n",
       "      <td>76.94.000.000</td>\n",
       "      <td>75376e9891f547e4ebac1dc5588f4062c1c31bb3</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>399.0</td>\n",
       "      <td>美国面经</td>\n",
       "      <td>guest</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382999</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-11-28 19:28:38</td>\n",
       "      <td>145.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>155</td>\n",
       "      <td>111.206.000.000</td>\n",
       "      <td>75376e9891f547e4ebac1dc5588f4062c1c31bb3</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>401.0</td>\n",
       "      <td>美国面经</td>\n",
       "      <td>guest</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884865</th>\n",
       "      <td>0</td>\n",
       "      <td>2018-11-30 04:30:32</td>\n",
       "      <td>145.0</td>\n",
       "      <td>314786709c4319bc9611a782ff5e836f61786592</td>\n",
       "      <td>155</td>\n",
       "      <td>180.163.000.000</td>\n",
       "      <td>75376e9891f547e4ebac1dc5588f4062c1c31bb3</td>\n",
       "      <td>19a456ef3467d0328f6b34bb095c235a8aca86ff</td>\n",
       "      <td>403.0</td>\n",
       "      <td>美国面经</td>\n",
       "      <td>guest</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        credits                date    fid  \\\n",
       "1540          0 2018-11-27 13:33:38  145.0   \n",
       "303250        0 2018-11-28 13:11:05  145.0   \n",
       "382999        0 2018-11-28 19:28:38  145.0   \n",
       "884865        0 2018-11-30 04:30:32  145.0   \n",
       "\n",
       "                                         groupid  hide               ip  \\\n",
       "1540    314786709c4319bc9611a782ff5e836f61786592     0    73.42.000.000   \n",
       "303250  314786709c4319bc9611a782ff5e836f61786592     0    76.94.000.000   \n",
       "382999  314786709c4319bc9611a782ff5e836f61786592   155  111.206.000.000   \n",
       "884865  314786709c4319bc9611a782ff5e836f61786592   155  180.163.000.000   \n",
       "\n",
       "                                             tid  \\\n",
       "1540    75376e9891f547e4ebac1dc5588f4062c1c31bb3   \n",
       "303250  75376e9891f547e4ebac1dc5588f4062c1c31bb3   \n",
       "382999  75376e9891f547e4ebac1dc5588f4062c1c31bb3   \n",
       "884865  75376e9891f547e4ebac1dc5588f4062c1c31bb3   \n",
       "\n",
       "                                             uid  views  name user_guest  \\\n",
       "1540    19a456ef3467d0328f6b34bb095c235a8aca86ff  395.0  美国面经      guest   \n",
       "303250  19a456ef3467d0328f6b34bb095c235a8aca86ff  399.0  美国面经      guest   \n",
       "382999  19a456ef3467d0328f6b34bb095c235a8aca86ff  401.0  美国面经      guest   \n",
       "884865  19a456ef3467d0328f6b34bb095c235a8aca86ff  403.0  美国面经      guest   \n",
       "\n",
       "       hidden  \n",
       "1540       No  \n",
       "303250     No  \n",
       "382999    Yes  \n",
       "884865    Yes  "
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_guests.loc[df_guest['tid'] == '75376e9891f547e4ebac1dc5588f4062c1c31bb3']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\yangx\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n"
     ]
    }
   ],
   "source": [
    "top4_topics = ['美国面经','求职','研究生申请','录取汇报：研究生']\n",
    "topics_dict = {'美国面经': 'American Interview Questions', \n",
    "               '求职': 'Job Seeking',\n",
    "               '研究生申请': 'Graduates Application',\n",
    "               '录取汇报：研究生': 'Graduates Admission Results'}\n",
    "df_top = df.loc[df['name'].isin (top4_topics)]\n",
    "df_top['name_alias'] = df_top['name'].map(topics_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x247eecd3128>"
      ]
     },
     "execution_count": 352,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x247cf020b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For guests\n",
    "df_guests_top = df_top.loc[df_top['user_guest'] == 'guest']\n",
    "by_topcredit_guest = df_guests_top.groupby(['name_alias','hidden'], as_index = True)['hidden'].count()\n",
    "by_topcredit_guest.unstack().plot(kind='bar', stacked =False, grid=False, figsize=(12,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "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>hidden</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>录取汇报：研究生</th>\n",
       "      <td>150431</td>\n",
       "      <td>693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>求职</th>\n",
       "      <td>192965</td>\n",
       "      <td>7058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>研究生申请</th>\n",
       "      <td>172559</td>\n",
       "      <td>3523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>美国面经</th>\n",
       "      <td>29069</td>\n",
       "      <td>210902</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "hidden        No     Yes\n",
       "name                    \n",
       "录取汇报：研究生  150431     693\n",
       "求职        192965    7058\n",
       "研究生申请     172559    3523\n",
       "美国面经       29069  210902"
      ]
     },
     "execution_count": 349,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_topcredit_guest.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x24770a26c18>"
      ]
     },
     "execution_count": 353,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x24770b1ee10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For users\n",
    "df_users_top = df_top.loc[df_top['user_guest'] == 'user']\n",
    "by_topcredit_user = df_users_top.groupby(['name_alias','hidden'], as_index = True)['hidden'].count()\n",
    "by_topcredit_user.unstack().plot(kind='bar', stacked =False, grid=False, figsize=(12,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th>hidden</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>录取汇报：研究生</th>\n",
       "      <td>104064</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>求职</th>\n",
       "      <td>204317</td>\n",
       "      <td>850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>研究生申请</th>\n",
       "      <td>112886</td>\n",
       "      <td>1526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>美国面经</th>\n",
       "      <td>288099</td>\n",
       "      <td>45047</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "hidden        No    Yes\n",
       "name                   \n",
       "录取汇报：研究生  104064    312\n",
       "求职        204317    850\n",
       "研究生申请     112886   1526\n",
       "美国面经      288099  45047"
      ]
     },
     "execution_count": 350,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_topcredit_user.unstack()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* For the top 4 interested topics, we observe that for the guests, most of the interview contents are hidden. \n",
    "* One of the possible reason is that user has the right to set the hidden value when he/she initially post the thread "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.Customer Behaviour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>credits</th>\n",
       "      <th>date</th>\n",
       "      <th>fid</th>\n",
       "      <th>groupid</th>\n",
       "      <th>hide</th>\n",
       "      <th>ip</th>\n",
       "      <th>tid</th>\n",
       "      <th>uid</th>\n",
       "      <th>views</th>\n",
       "      <th>name</th>\n",
       "      <th>user_guest</th>\n",
       "      <th>hidden</th>\n",
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       "      <th>0</th>\n",
       "      <td>97</td>\n",
       "      <td>2018-11-26 19:56:53</td>\n",
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       "      <td>No</td>\n",
       "      <td>2018-11-26</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>390</td>\n",
       "      <td>2018-11-26 21:33:54</td>\n",
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       "      <td>2018-11-26</td>\n",
       "      <td>21</td>\n",
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       "      <th>2</th>\n",
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       "      <td>13.0</td>\n",
       "      <td>美国面经</td>\n",
       "      <td>user</td>\n",
       "      <td>No</td>\n",
       "      <td>2018-11-26</td>\n",
       "      <td>21</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>390</td>\n",
       "      <td>2018-11-26 21:34:04</td>\n",
       "      <td>145.0</td>\n",
       "      <td>3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9</td>\n",
       "      <td>155</td>\n",
       "      <td>75.80.000.000</td>\n",
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       "      <td>142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1</td>\n",
       "      <td>475.0</td>\n",
       "      <td>美国面经</td>\n",
       "      <td>user</td>\n",
       "      <td>No</td>\n",
       "      <td>2018-11-26</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1845</td>\n",
       "      <td>2018-11-26 21:34:16</td>\n",
       "      <td>28.0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>7516.0</td>\n",
       "      <td>求职</td>\n",
       "      <td>user</td>\n",
       "      <td>No</td>\n",
       "      <td>2018-11-26</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "   credits                date    fid  \\\n",
       "0       97 2018-11-26 19:56:53   71.0   \n",
       "1      390 2018-11-26 21:33:54  145.0   \n",
       "2      390 2018-11-26 21:33:59  145.0   \n",
       "3      390 2018-11-26 21:34:04  145.0   \n",
       "4     1845 2018-11-26 21:34:16   28.0   \n",
       "\n",
       "                                    groupid  hide               ip  \\\n",
       "0  5b9529731ca73cf5393477c1180f7327565b9a40     0  140.112.000.000   \n",
       "1  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9   188    75.80.000.000   \n",
       "2  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9     0    75.80.000.000   \n",
       "3  3ec8d2ff8ca01fce532be5dcb8c5668c60c16cd9   155    75.80.000.000   \n",
       "4  b45b78dbad5cc24a3e34f9244e634d890bebb1aa     0  169.228.000.000   \n",
       "\n",
       "                                        tid  \\\n",
       "0  b4a5218b9971ec404bd1f8b8b8daa61f5f0c729a   \n",
       "1  7644cecd7c70ef7a66957fb10d19bbdf052dcb89   \n",
       "2  b7f60cdb299536b58315f49a2a515274a5e556f2   \n",
       "3  f01866d44a8f8ab3e43836277a9d759f59c2f299   \n",
       "4  fa8cf914a57048a783b0f072a27c9c09a8c1d59c   \n",
       "\n",
       "                                        uid    views  name user_guest hidden  \\\n",
       "0  b364783387071d4691ad70bca305e17550ea00ff  19484.0  院系介绍       user     No   \n",
       "1  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1   1040.0  美国面经       user     No   \n",
       "2  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1     13.0  美国面经       user     No   \n",
       "3  142d6ef2ca14b60fd538a9111e4f36c6ba7d58f1    475.0  美国面经       user     No   \n",
       "4  3990556f81ece407f1497de2889b2fc4cf550853   7516.0    求职       user     No   \n",
       "\n",
       "          day  hour  \n",
       "0  2018-11-26    19  \n",
       "1  2018-11-26    21  \n",
       "2  2018-11-26    21  \n",
       "3  2018-11-26    21  \n",
       "4  2018-11-26    21  "
      ]
     },
     "execution_count": 372,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# From time perspective, is there any difference between users and guests?\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['hour'] = df['date'].dt.hour\n",
    "df['day'] = df['date'].dt.date\n",
    "#df.drop(['year'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x247cee9dc50>"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2476ba5d2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "by_date = df.groupby(['day','user_guest'])['day'].count()\n",
    "by_date.unstack().plot(kind='bar', stacked =False, grid=False, figsize=(12,6))\n",
    "plt.title('Active Date Distribution by user/guest ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x2476afeccf8>"
      ]
     },
     "execution_count": 387,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2476b6f45f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "by_time = df.groupby(['hour','user_guest'])['hour'].count()\n",
    "by_time.unstack().plot(kind='bar', stacked =False, grid=False, figsize=(12,6))\n",
    "plt.title('Active Time within a day by Users and Guests')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Not too much difference for users and guests from only 11 days data. If have more historical data, would like to check if there exists some pattern within a week/month for users and guests.\n",
    "* Users' activities significantly drop during the night time PDT while guests activities are pretty stable during 24 hours within a day. This is an interesting fact that we could dig deep to understand why users are not willing to view the website. "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}