visuals.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ham_words</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>re</td>\n",
       "      <td>707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sep</td>\n",
       "      <td>701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bit</td>\n",
       "      <td>649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>wed</td>\n",
       "      <td>630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>smtp</td>\n",
       "      <td>621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tue</td>\n",
       "      <td>601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>one</td>\n",
       "      <td>523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>get</td>\n",
       "      <td>521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fri</td>\n",
       "      <td>513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pdt</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>new</td>\n",
       "      <td>506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>widthd</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>message</td>\n",
       "      <td>496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>email</td>\n",
       "      <td>493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>edt</td>\n",
       "      <td>484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>use</td>\n",
       "      <td>483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>mailing</td>\n",
       "      <td>477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>time</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>like</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>friends</td>\n",
       "      <td>429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>wrote</td>\n",
       "      <td>428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>oct</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>dont</td>\n",
       "      <td>396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>url</td>\n",
       "      <td>394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>size</td>\n",
       "      <td>389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>rohit</td>\n",
       "      <td>376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>khare</td>\n",
       "      <td>371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>xentcom</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>would</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>cc</td>\n",
       "      <td>354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>free</td>\n",
       "      <td>352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>clean</td>\n",
       "      <td>349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>version</td>\n",
       "      <td>346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>im</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>also</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>heightd</td>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>mail</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>see</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>td</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>found</td>\n",
       "      <td>310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>widthimg</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>aug</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>phobos</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>people</td>\n",
       "      <td>299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>normal</td>\n",
       "      <td>286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>know</td>\n",
       "      <td>286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>way</td>\n",
       "      <td>283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>times</td>\n",
       "      <td>281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>well</td>\n",
       "      <td>280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>using</td>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ham_words  count\n",
       "0         re    707\n",
       "1        sep    701\n",
       "2        bit    649\n",
       "3        wed    630\n",
       "4       smtp    621\n",
       "5        tue    601\n",
       "6        one    523\n",
       "7        get    521\n",
       "8        fri    513\n",
       "9        pdt    508\n",
       "10       new    506\n",
       "11    widthd    500\n",
       "12   message    496\n",
       "13     email    493\n",
       "14       edt    484\n",
       "15       use    483\n",
       "16   mailing    477\n",
       "17      time    460\n",
       "18      like    450\n",
       "19   friends    429\n",
       "20     wrote    428\n",
       "21       oct    405\n",
       "22      dont    396\n",
       "23       url    394\n",
       "24      size    389\n",
       "25     rohit    376\n",
       "26     khare    371\n",
       "27   xentcom    370\n",
       "28     would    356\n",
       "29        cc    354\n",
       "30      free    352\n",
       "31     clean    349\n",
       "32   version    346\n",
       "33        im    336\n",
       "34      also    331\n",
       "35   heightd    326\n",
       "36      mail    322\n",
       "37       see    317\n",
       "38        td    317\n",
       "39     found    310\n",
       "40  widthimg    309\n",
       "41       aug    300\n",
       "42    phobos    300\n",
       "43    people    299\n",
       "44    normal    286\n",
       "45      know    286\n",
       "46       way    283\n",
       "47     times    281\n",
       "48      well    280\n",
       "49     using    278"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ham_words = pd.read_csv('dataset/ham_words_count.csv', index_col=0).reset_index()\n",
    "# ham_words = ham_words[ham_words.ham_words != 'xkeywords']\n",
    "ham_words.to_csv('dataset/ham_words_count.csv', index=False)\n",
    "ham_words.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ham_words</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26644</th>\n",
       "      <td>kilburn</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26645</th>\n",
       "      <td>bfontimg</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26646</th>\n",
       "      <td>bothand</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26647</th>\n",
       "      <td>gatewayr</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26648</th>\n",
       "      <td>elliott</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26649</th>\n",
       "      <td>emphatic</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26650</th>\n",
       "      <td>voyager</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26651</th>\n",
       "      <td>gmscx</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26652</th>\n",
       "      <td>prehi</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26653</th>\n",
       "      <td>expands</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ham_words  count\n",
       "26644   kilburn      1\n",
       "26645  bfontimg      1\n",
       "26646   bothand      1\n",
       "26647  gatewayr      1\n",
       "26648   elliott      1\n",
       "26649  emphatic      1\n",
       "26650   voyager      1\n",
       "26651     gmscx      1\n",
       "26652     prehi      1\n",
       "26653   expands      1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ham_words[['ham_words', 'count']].tail(10)\n",
    "# ham_words.plot(kind='hist', figsize=(12,8))\n",
    "# ham_words.plot(kind='bar', figsize=(12,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
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     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
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    {
     "data": {
      "image/png": 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AwCAEHAAAwCAEHAAAwCAEHAAAwCAEHAAAwCAEHAAAwCAEHAAAwCAEHAAAwCAE3CRLy5sb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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa3eac2d710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ham_words.plot(kind='hist', figsize=(12,8))\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.scatter(ham_words.index.tolist(),ham_words['count'].tolist(), color=\"orange\", marker=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>spam_words</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>free</td>\n",
       "      <td>866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mon</td>\n",
       "      <td>842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>postfix</td>\n",
       "      <td>817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>please</td>\n",
       "      <td>742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ist</td>\n",
       "      <td>734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>size</td>\n",
       "      <td>724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>microsoft</td>\n",
       "      <td>616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>may</td>\n",
       "      <td>583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>imap</td>\n",
       "      <td>532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>jalapeno</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>bit</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>edt</td>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>get</td>\n",
       "      <td>524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>internet</td>\n",
       "      <td>522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>wed</td>\n",
       "      <td>519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>mail</td>\n",
       "      <td>505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>tue</td>\n",
       "      <td>496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>service</td>\n",
       "      <td>495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>new</td>\n",
       "      <td>494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>one</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>time</td>\n",
       "      <td>484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>business</td>\n",
       "      <td>481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>click</td>\n",
       "      <td>480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>you</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>thu</td>\n",
       "      <td>447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>money</td>\n",
       "      <td>419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>fri</td>\n",
       "      <td>413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>center</td>\n",
       "      <td>413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>normal</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>receive</td>\n",
       "      <td>394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>borderd</td>\n",
       "      <td>388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>border</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>address</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>jul</td>\n",
       "      <td>371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>removed</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>xpriority</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>send</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>div</td>\n",
       "      <td>354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>sep</td>\n",
       "      <td>348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>dont</td>\n",
       "      <td>341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>colordff</td>\n",
       "      <td>339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>colord</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>want</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>color</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>aug</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>sender</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>remove</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>name</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>best</td>\n",
       "      <td>307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>make</td>\n",
       "      <td>301</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   spam_words  count\n",
       "0        free    866\n",
       "1         mon    842\n",
       "2     postfix    817\n",
       "3      please    742\n",
       "4         ist    734\n",
       "5        size    724\n",
       "6   microsoft    616\n",
       "7         may    583\n",
       "8        imap    532\n",
       "9    jalapeno    529\n",
       "10        bit    528\n",
       "11        edt    525\n",
       "12        get    524\n",
       "13   internet    522\n",
       "14        wed    519\n",
       "15       mail    505\n",
       "16        tue    496\n",
       "17    service    495\n",
       "18        new    494\n",
       "19        one    485\n",
       "20       time    484\n",
       "21   business    481\n",
       "22      click    480\n",
       "23        you    452\n",
       "24        thu    447\n",
       "25      money    419\n",
       "26        fri    413\n",
       "27     center    413\n",
       "28     normal    405\n",
       "29    receive    394\n",
       "30    borderd    388\n",
       "31     border    377\n",
       "32    address    372\n",
       "33        jul    371\n",
       "34    removed    370\n",
       "35  xpriority    367\n",
       "36       send    356\n",
       "37        div    354\n",
       "38        sep    348\n",
       "39       dont    341\n",
       "40   colordff    339\n",
       "41     colord    331\n",
       "42       want    329\n",
       "43      color    324\n",
       "44        aug    322\n",
       "45     sender    318\n",
       "46     remove    318\n",
       "47       name    314\n",
       "48       best    307\n",
       "49       make    301"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spam_words = pd.read_csv('dataset/spam_words_count.csv', index_col=0).reset_index()\n",
    "# spam_words = spam_words[spam_words.spam_words != 'xkeywords']\n",
    "# spam_words.to_csv('dataset/spam_words_count.csv', index=False)\n",
    "spam_words.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>spam_words</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21398</th>\n",
       "      <td>revival</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21399</th>\n",
       "      <td>pvrs</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21400</th>\n",
       "      <td>titlesave</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21401</th>\n",
       "      <td>gjhr</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21402</th>\n",
       "      <td>cow</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21403</th>\n",
       "      <td>adresi</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21404</th>\n",
       "      <td>gjhj</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21405</th>\n",
       "      <td>ile</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21406</th>\n",
       "      <td>climate</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21407</th>\n",
       "      <td>nowabfont</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      spam_words  count\n",
       "21398    revival      1\n",
       "21399       pvrs      1\n",
       "21400  titlesave      1\n",
       "21401       gjhr      1\n",
       "21402        cow      1\n",
       "21403     adresi      1\n",
       "21404       gjhj      1\n",
       "21405        ile      1\n",
       "21406    climate      1\n",
       "21407  nowabfont      1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spam_words[['spam_words', 'count']].tail(10)\n",
    "# spam_words.plot(kind='hist', figsize=(12,8))\n",
    "# spam_words.plot(kind='bar', figsize=(12,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fa3ead1d750>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2auPComcAAACsKAG3k7X1Rc8AAADgIgJuJyfOL3oGAAAAFxFwAAAATQg4AACAJgQcAABA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\nAAA0IeAAAACa+P/6YkcWHW9hugAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa3eabc11d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# spam_words.plot(kind='hist', figsize=(12,8))\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.scatter(spam_words.index.tolist(),spam_words['count'].tolist(), color=\"orange\", marker=\",\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}