exploration_plotting.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_pickle('data/pitt_complete_full_interview_dataframe.pickle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_single = pd.read_pickle('data/pitt_complete_dataframe_single_utterances.pickle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>label</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Control</td>\n",
       "      <td>[okay, there, s, a, cookie, jar, on, the, shel...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Control</td>\n",
       "      <td>[the, kids, are, in, the, cookies, the, stool,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Control</td>\n",
       "      <td>[well, Johnny, s, fallin, g, off, the, stool, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Control</td>\n",
       "      <td>[alright, the, boy, is, taking, a, cookie, out...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Control</td>\n",
       "      <td>[mhm, well, the, water, s, running, over, on, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     label                                               text\n",
       "0  Control  [okay, there, s, a, cookie, jar, on, the, shel...\n",
       "1  Control  [the, kids, are, in, the, cookies, the, stool,...\n",
       "2  Control  [well, Johnny, s, fallin, g, off, the, stool, ...\n",
       "3  Control  [alright, the, boy, is, taking, a, cookie, out...\n",
       "4  Control  [mhm, well, the, water, s, running, over, on, ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1291 patients in the dataset\n"
     ]
    }
   ],
   "source": [
    "print('There are {} patients in the dataset'.format(max(df_single.id)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dementia    1049\n",
       "Control      243\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'df' is not defined",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-e2662664b6e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mrow\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitertuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'df' is not defined"
     ],
     "output_type": "error"
    }
   ],
   "source": [
    "for row in df.itertuples():\n",
    "    print(len(row.text))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 44.02173913043478% Control patients and 55.97826086956522% Dementia patients\n"
     ]
    }
   ],
   "source": [
    "print('There are {}% Control patients and {}% Dementia patients'.format(243*100/(309+243),309*100/(309+243)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            length\n",
      "count  1292.000000\n",
      "mean     84.382353\n",
      "std      58.022733\n",
      "min       0.000000\n",
      "25%      45.000000\n",
      "50%      73.000000\n",
      "75%     109.000000\n",
      "max     530.000000\n",
      "73.0\n"
     ]
    }
   ],
   "source": [
    "df['length'] = df['text'].str.len()\n",
    "print(df.describe())\n",
    "print(np.median(df['length']))\n",
    "df_single['length'] = df_single['text'].str.len()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x10edaccc0>,\n",
       "  <matplotlib.lines.Line2D at 0x10edacc18>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x10edac6d8>,\n",
       "  <matplotlib.lines.Line2D at 0x10edac390>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x10edaceb8>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x10edac0b8>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x10ed93e48>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(df['length'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x10ed5dda0>,\n",
       "  <matplotlib.lines.Line2D at 0x10ed4b160>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x10ed4b4a8>,\n",
       "  <matplotlib.lines.Line2D at 0x10ed4b7f0>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x10ed5dc50>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x10ed4bb38>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x10ed4be80>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(df_single['length'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "### plot all percentiles can be good "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of different words: 1907\n",
      "okay 176\n",
      "there 636\n",
      "s 3322\n",
      "a 1495\n",
      "cookie 821\n",
      "jar 524\n",
      "on 858\n",
      "the 5506\n",
      "shelf 12\n",
      "and 2472\n",
      "little 474\n",
      "boy 543\n",
      "up 354\n",
      "stool 633\n",
      "is 1804\n",
      "about 194\n",
      "to 901\n",
      "uh 1367\n",
      "fall 190\n",
      "he 718\n",
      "turn 21\n",
      "over 558\n",
      "girl 444\n",
      "in 672\n",
      "picture 43\n",
      "reaching 203\n",
      "for 327\n",
      "mother 476\n",
      "washing 151\n",
      "dishes 566\n",
      "water 668\n",
      "running 200\n",
      "onto 89\n",
      "floor 291\n",
      "she 982\n",
      "has 308\n",
      "plate 107\n",
      "her 508\n",
      "hand 234\n",
      "towel 19\n",
      "drying 236\n",
      "two 140\n",
      "cups 98\n",
      "are 280\n",
      "sitting 13\n",
      "counter 62\n",
      "also 45\n",
      "you 285\n",
      "can 149\n",
      "see 360\n",
      "out 288\n",
      "through 23\n",
      "kitchen 96\n",
      "window 303\n",
      "another 55\n",
      "part 26\n",
      "of 338\n",
      "house 63\n",
      "dri 1\n",
      "walk 19\n",
      "way 34\n",
      "away 6\n",
      "from 135\n",
      "across 3\n",
      "other 55\n",
      "roof 3\n",
      "with 181\n",
      "tree 34\n",
      "that 811\n",
      "curtains 125\n",
      "windows 16\n",
      "did 55\n",
      "I 857\n",
      "cover 4\n",
      "it 763\n",
      "all 233\n",
      "exc 430\n",
      "yeah 83\n",
      "kids 48\n",
      "cookies 356\n",
      "falling 168\n",
      "spilling 50\n",
      "wind 25\n",
      "might 30\n",
      "be 260\n",
      "blowing 44\n",
      "t 455\n",
      "tell 63\n",
      "anything 54\n",
      "going 170\n",
      "outside 112\n",
      "or 235\n",
      "not 115\n",
      "guess 111\n",
      "very 37\n",
      "many 14\n",
      "well 254\n",
      "Johnny 8\n",
      "fallin 63\n",
      "g 963\n",
      "off 261\n",
      "after 12\n",
      "tryin 54\n",
      "steal 7\n",
      "outof 181\n",
      "gon 154\n",
      "na 160\n",
      "give 34\n",
      "th 54\n",
      "em 29\n",
      "his 340\n",
      "sister 153\n",
      "washin 62\n",
      "runnin 78\n",
      "open 183\n",
      "think 90\n",
      "anythin 1\n",
      "they 139\n",
      "re 69\n",
      "whisperin 3\n",
      "motionin 1\n",
      "quiet 51\n",
      "alright 42\n",
      "taking 64\n",
      "one 224\n",
      "left 60\n",
      "reach 14\n",
      "down 158\n",
      "si 2\n",
      "inner 1\n",
      "index 1\n",
      "finger 61\n",
      "right 82\n",
      "pointed 2\n",
      "upward 1\n",
      "close 3\n",
      "mouth 49\n",
      "m 51\n",
      "maybe 48\n",
      "saying 26\n",
      "sh 38\n",
      "o 112\n",
      "because 73\n",
      "um 287\n",
      "haveto 20\n",
      "heel 4\n",
      "toe 4\n",
      "wearing 18\n",
      "shoes 34\n",
      "pompoms 1\n",
      "them 76\n",
      "look 51\n",
      "socks 15\n",
      "pretty 18\n",
      "sloppy 5\n",
      "observed 1\n",
      "slippers 4\n",
      "woman 59\n",
      "letting 12\n",
      "sink 524\n",
      "run 42\n",
      "full 22\n",
      "tilt 4\n",
      "f 88\n",
      "overflowing 149\n",
      "looks 163\n",
      "as 85\n",
      "if 61\n",
      "something 64\n",
      "else 83\n",
      "no 88\n",
      "curtain 19\n",
      "hang 1\n",
      "back 58\n",
      "end 7\n",
      "behind 12\n",
      "i 30\n",
      "side 39\n",
      "d 81\n",
      "already 24\n",
      "dried 16\n",
      "path 23\n",
      "around 22\n",
      "room 6\n",
      "believe 6\n",
      "what 286\n",
      "laughs 226\n",
      "mhm 51\n",
      "chair 69\n",
      "r 161\n",
      "tilting 24\n",
      "into 86\n",
      "do 87\n",
      "want 70\n",
      "action 119\n",
      "just 96\n",
      "climbed 11\n",
      "get 167\n",
      "some 160\n",
      "giving 18\n",
      "isn 30\n",
      "actually 5\n",
      "eating 8\n",
      "but 146\n",
      "really 16\n",
      "wiping 49\n",
      "dish 128\n",
      "wantto 9\n",
      "know 167\n",
      "sort 9\n",
      "thing 41\n",
      "goin 41\n",
      "clears 39\n",
      "throat 39\n",
      "looking 84\n",
      "paying 16\n",
      "any 33\n",
      "attention 21\n",
      "children 45\n",
      "stealing 33\n",
      "which 73\n",
      "tipping 55\n",
      "getting 140\n",
      "handing 70\n",
      "untied 1\n",
      "lid 57\n",
      "must 38\n",
      "outer 1\n",
      "space 2\n",
      "doesn 69\n",
      "notice 8\n",
      "this 200\n",
      "outta 5\n",
      "stealin 20\n",
      "so 89\n",
      "didn 32\n",
      "were 10\n",
      "nice 28\n",
      "weather 2\n",
      "grass 48\n",
      "high 10\n",
      "needs 3\n",
      "cut 1\n",
      "sighs 15\n",
      "seem 19\n",
      "blowin 8\n",
      "brisk 1\n",
      "breeze 16\n",
      "things 47\n",
      "standing 177\n",
      "asking 23\n",
      "lady 69\n",
      "doing 64\n",
      "flowing 26\n",
      "puddle 31\n",
      "picking 5\n",
      "nose 13\n",
      "don 212\n",
      "brother 40\n",
      "knock 2\n",
      "him 136\n",
      "gravity 1\n",
      "whatever 20\n",
      "while 49\n",
      "being 13\n",
      "tipped 7\n",
      "spigot 22\n",
      "let 92\n",
      "x 50\n",
      "birds 4\n",
      "geese 1\n",
      "fine 1\n",
      "alrightie 1\n",
      "arm 12\n",
      "extended 1\n",
      "at 182\n",
      "who 31\n",
      "almost 20\n",
      "like 197\n",
      "trying 54\n",
      "lower 1\n",
      "ready 37\n",
      "rag 1\n",
      "holding 24\n",
      "stepping 27\n",
      "too 56\n",
      "xxx 139\n",
      "far 10\n",
      "matter 2\n",
      "where 37\n",
      "start 16\n",
      "then 61\n",
      "step 29\n",
      "tilted 12\n",
      "now 45\n",
      "descriptive 1\n",
      "lids 1\n",
      "how 25\n",
      "actions 2\n",
      "kindof 12\n",
      "towards 6\n",
      "giggling 1\n",
      "outdoors 3\n",
      "moving 10\n",
      "saucers 9\n",
      "oh 219\n",
      "me 58\n",
      "everything 33\n",
      "happening 33\n",
      "plus 2\n",
      "stuff 6\n",
      "gotten 8\n",
      "meantime 11\n",
      "more 45\n",
      "clean 3\n",
      "lovely 2\n",
      "day 18\n",
      "leaves 7\n",
      "summer 27\n",
      "their 22\n",
      "clothes 6\n",
      "reachin 40\n",
      "takin 18\n",
      "bench 9\n",
      "tumblin 1\n",
      "wipin 6\n",
      "lookin 36\n",
      "standin 33\n",
      "opposed 1\n",
      "state 1\n",
      "al 1\n",
      "face 8\n",
      "kind 15\n",
      "pointing 8\n",
      "toward 2\n",
      "h 13\n",
      "near 5\n",
      "pla 1\n",
      "faucet 40\n",
      "filling 3\n",
      "yes 17\n",
      "smiling 5\n",
      "each 9\n",
      "person 2\n",
      "splashing 23\n",
      "la 3\n",
      "tap 6\n",
      "comin 13\n",
      "cause 45\n",
      "hm 62\n",
      "door 74\n",
      "cupboard 83\n",
      "ajar 1\n",
      "family 5\n",
      "son 13\n",
      "daughter 7\n",
      "process 8\n",
      "toppling 6\n",
      "lips 20\n",
      "shushing 7\n",
      "make 17\n",
      "noise 8\n",
      "seems 23\n",
      "oblivious 7\n",
      "could 24\n",
      "garage 23\n",
      "an 96\n",
      "extension 3\n",
      "shrubbery 23\n",
      "beside 11\n",
      "cream 1\n",
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      "bowl 3\n",
      "set 3\n",
      "shorts 7\n",
      "short 28\n",
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      "by 32\n",
      "draw 2\n",
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      "doors 14\n",
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      "thank 3\n",
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      "am 12\n",
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      "same 23\n",
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      "say 64\n",
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      "touchin 5\n",
      "difficult 2\n",
      "your 7\n",
      "feet 42\n",
      "gettin 60\n",
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      "only 11\n",
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      "break 12\n",
      "neck 7\n",
      "except 9\n",
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      "growing 15\n",
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      "overflowin 15\n",
      "missin 2\n",
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      "starting 8\n",
      "snickering 1\n",
      "sense 3\n",
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      "y 5\n",
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      "Imean 20\n",
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      "hasn 7\n",
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      "tip 9\n",
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      "may 6\n",
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      "neither 2\n",
      "knows 4\n",
      "nor 1\n",
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      "still 27\n",
      "making 10\n",
      "sortof 6\n",
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      "description 2\n",
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      "against 4\n",
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      "yard 23\n",
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      "thinking 8\n",
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      "reason 5\n",
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      "evidently 5\n",
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      "alotof 8\n",
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      "June 1\n",
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      "head 7\n",
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      "e 2\n",
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      "than 3\n",
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      "ta 8\n",
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      "elsewhere 1\n",
      "above 9\n",
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      "soon 5\n",
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      "sun 2\n",
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      "somebody 19\n",
      "laying 2\n",
      "lawn 8\n",
      "again 3\n",
      "pants 4\n",
      "strap 1\n",
      "tie 7\n",
      "keep 5\n",
      "shaking 2\n",
      "platter 1\n",
      "touching 5\n",
      "lea 1\n",
      "fallen 3\n",
      "completed 1\n",
      "least 6\n",
      "ones 6\n",
      "wait 5\n",
      "un 2\n",
      "til 2\n",
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      "stink 1\n",
      "dirty 5\n",
      "gue 1\n",
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      "guy 6\n",
      "eatin 2\n",
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      "number 4\n",
      "come 11\n",
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      "nd 2\n",
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      "backs 1\n",
      "thought 7\n",
      "looked 5\n",
      "essentially 1\n",
      "pool 2\n",
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      "layin 3\n",
      "meant 5\n",
      "before 5\n",
      "jerk 2\n",
      "doin 34\n",
      "few 7\n",
      "moments 1\n",
      "total 1\n",
      "furiously 1\n",
      "unless 2\n",
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      "presuming 1\n",
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      "pudding 1\n",
      "told 8\n",
      "stools 1\n",
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      "ve 12\n",
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      "important 2\n",
      "sometimes 4\n",
      "typical 1\n",
      "different 10\n",
      "fun 4\n",
      "variety 1\n",
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      "pw 1\n",
      "supposedly 2\n",
      "grab 5\n",
      "doubt 1\n",
      "turns 1\n",
      "base 1\n",
      "makes 2\n",
      "underneath 7\n",
      "splash 3\n",
      "indicates 2\n",
      "tea 7\n",
      "suds 2\n",
      "faucets 5\n",
      "center 1\n",
      "ties 2\n",
      "slip 2\n",
      "scallop 1\n",
      "round 1\n",
      "piece 3\n",
      "wood 1\n",
      "hold 3\n",
      "pull 3\n",
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      "memorize 1\n",
      "shush 3\n",
      "drugs 1\n",
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      "healthy 1\n",
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      "hums 3\n",
      "possibly 3\n",
      "screamin 2\n",
      "remember 3\n",
      "great 3\n",
      "pleasant 1\n",
      "forgetting 1\n",
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      "height 1\n",
      "slender 1\n",
      "straps 2\n",
      "our 4\n",
      "reaches 2\n",
      "second 11\n",
      "shoulder 1\n",
      "length 2\n",
      "curl 1\n",
      "sneakers 1\n",
      "strapped 1\n",
      "ankle 1\n",
      "sign 2\n",
      "sigh 3\n",
      "oughtto 2\n",
      "instead 7\n",
      "pick 3\n",
      "sneaking 4\n",
      "receive 6\n",
      "board 3\n",
      "leading 2\n",
      "wa 15\n",
      "hairdo 1\n",
      "dripping 6\n",
      "ahead 3\n",
      "clogged 2\n",
      "snowy 1\n",
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      "light 2\n",
      "runs 5\n",
      "lup 1\n",
      "wi 3\n",
      "presume 5\n",
      "finish 1\n",
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      "dishwash 2\n",
      "pulled 11\n",
      "lane 1\n",
      "imagine 4\n",
      "indication 1\n",
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      "youngster 6\n",
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      "means 4\n",
      "frowning 2\n",
      "turning 5\n",
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      "interested 3\n",
      "losing 2\n",
      "balance 3\n",
      "taken 5\n",
      "cautioning 1\n",
      "yep 1\n",
      "ssh 1\n",
      "table 12\n",
      "apern 1\n",
      "sleeves 3\n",
      "rest 1\n",
      "describe 2\n",
      "spills 1\n",
      "god 1\n",
      "word 1\n",
      "verb 1\n",
      "hasto 6\n",
      "including 1\n",
      "identifying 1\n",
      "trunk 7\n",
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      "shrub 2\n",
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      "crooked 6\n",
      "tripod 1\n",
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      "bottom 5\n",
      "quit 2\n",
      "Junior 3\n",
      "Sissy 1\n",
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      "count 2\n",
      "minute 5\n",
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      "dangerous 4\n",
      "kinda 6\n",
      "detail 1\n",
      "staring 1\n",
      "withdrawn 1\n",
      "driveway 6\n",
      "waving 6\n",
      "upraised 1\n",
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      "admonishing 1\n",
      "form 1\n",
      "tippin 3\n",
      "miss 2\n",
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      "tripodal 1\n",
      "tri 1\n",
      "front 8\n",
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      "directions 1\n",
      "dumb 2\n",
      "towels 1\n",
      "watching 5\n",
      "dear 2\n",
      "darling 1\n",
      "wife 5\n",
      "sharing 2\n",
      "instructions 1\n",
      "details 1\n",
      "assuming 1\n",
      "shor 1\n",
      "turnin 4\n",
      "legs 7\n",
      "begging 4\n",
      "aw 1\n",
      "steppin 3\n",
      "devil 1\n",
      "attentively 1\n",
      "allowing 1\n",
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      "overlooking 1\n",
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      "ruffling 1\n",
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      "pa 1\n",
      "motioning 2\n",
      "nicely 2\n",
      "groomed 1\n",
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      "foliage 1\n",
      "slipped 2\n",
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      "distract 1\n",
      "realize 2\n",
      "fell 15\n",
      "slanted 2\n",
      "wanting 4\n",
      "daydreamin 1\n",
      "DaveBranton 1\n",
      "wrote 1\n",
      "whole 7\n",
      "book 2\n",
      "called 2\n",
      "Thewindowofthexxx 1\n",
      "enjoy 1\n",
      "slop 1\n",
      "wash 12\n",
      "Drew 1\n",
      "cl 1\n",
      "tries 1\n",
      "extent 1\n",
      "deaf 2\n",
      "flower 2\n",
      "er 2\n",
      "beginning 5\n",
      "permitting 1\n",
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      "ur 6\n",
      "blooming 1\n",
      "topple 6\n",
      "insisted 1\n",
      "continue 1\n",
      "sash 2\n",
      "drain 1\n",
      "parted 1\n",
      "pompadour 1\n",
      "low 1\n",
      "waisted 1\n",
      "own 3\n",
      "toes 1\n",
      "q 1\n",
      "precarious 3\n",
      "position 2\n",
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      "fortunately 1\n",
      "mention 5\n",
      "uhhuh 9\n",
      "removed 2\n",
      "upend 1\n",
      "heck 2\n",
      "alot 3\n",
      "spiral 1\n",
      "slower 1\n",
      "silence 2\n",
      "fully 1\n",
      "nondescript 1\n",
      "expression 1\n",
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      "gotto 1\n",
      "wow 2\n",
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      "wai 1\n",
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      "fellow 2\n",
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      "okeydokey 1\n",
      "naturally 2\n",
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      "daze 2\n",
      "depression 2\n",
      "kay 2\n",
      "impervious 1\n",
      "unconscious 1\n",
      "tapping 1\n",
      "happens 2\n",
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      "fluttering 1\n",
      "waitin 6\n",
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      "overrunning 4\n",
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      "Eve 1\n",
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      "sinks 2\n",
      "spaced 1\n",
      "danger 2\n",
      "considered 1\n",
      "leaving 1\n",
      "j 9\n",
      "supposed 1\n",
      "hazardous 1\n",
      "condition 1\n",
      "took 3\n",
      "fouled 1\n",
      "correct 1\n",
      "sl 1\n",
      "ordinary 1\n",
      "words 2\n",
      "passing 1\n",
      "labelled 1\n",
      "Cookiejar 1\n",
      "messed 2\n",
      "ain 5\n",
      "writing 1\n",
      "upside 4\n",
      "gesturing 2\n",
      "trouble 3\n",
      "galore 1\n",
      "addition 1\n",
      "collapse 2\n",
      "aside 4\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "often 1\n",
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     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "def plot_word_distribution(df,print_frequent = True):\n",
    "    all_the_words = []\n",
    "    for interview in df['text']:\n",
    "        all_the_words = all_the_words + interview\n",
    "    counter = Counter(all_the_words)\n",
    "    labels, values = zip(*counter.items())\n",
    "\n",
    "    indexes = np.arange(len(labels))\n",
    "    width = 1\n",
    "\n",
    "    plt.bar(indexes, values, width)\n",
    "    plt.xticks(indexes + width * 0.5, labels)\n",
    "    plt.show()\n",
    "    \n",
    "    print('number of different words: {}'.format(len(counter)))\n",
    "    \n",
    "    if print_frequent == True: \n",
    "        for key,value in counter.items():\n",
    "            print(key,value)\n",
    "    \n",
    "    \n",
    "plot_word_distribution(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of different words: 1234\n",
      "okay 111\n",
      "there 295\n",
      "s 1425\n",
      "a 762\n",
      "cookie 421\n",
      "jar 229\n",
      "on 408\n",
      "the 2719\n",
      "shelf 8\n",
      "and 1075\n",
      "little 208\n",
      "boy 253\n",
      "up 143\n",
      "stool 316\n",
      "is 1030\n",
      "about 116\n",
      "to 456\n",
      "uh 559\n",
      "fall 84\n",
      "he 263\n",
      "turn 6\n",
      "over 250\n",
      "girl 221\n",
      "in 351\n",
      "picture 15\n",
      "reaching 137\n",
      "for 169\n",
      "mother 277\n",
      "washing 78\n",
      "dishes 258\n",
      "water 314\n",
      "running 129\n",
      "onto 50\n",
      "floor 128\n",
      "she 399\n",
      "has 168\n",
      "plate 62\n",
      "her 271\n",
      "hand 144\n",
      "towel 13\n",
      "drying 157\n",
      "two 73\n",
      "cups 53\n",
      "are 167\n",
      "sitting 10\n",
      "counter 43\n",
      "also 25\n",
      "you 128\n",
      "can 71\n",
      "see 176\n",
      "out 139\n",
      "through 7\n",
      "kitchen 56\n",
      "window 199\n",
      "another 42\n",
      "part 12\n",
      "of 171\n",
      "house 40\n",
      "dri 1\n",
      "walk 12\n",
      "way 7\n",
      "away 2\n",
      "from 60\n",
      "across 3\n",
      "other 29\n",
      "roof 2\n",
      "with 101\n",
      "tree 23\n",
      "that 355\n",
      "curtains 83\n",
      "windows 8\n",
      "did 19\n",
      "I 335\n",
      "cover 2\n",
      "it 296\n",
      "all 98\n",
      "exc 162\n",
      "yeah 20\n",
      "kids 17\n",
      "cookies 159\n",
      "falling 103\n",
      "spilling 24\n",
      "wind 23\n",
      "might 14\n",
      "be 145\n",
      "blowing 38\n",
      "t 171\n",
      "tell 26\n",
      "anything 33\n",
      "going 80\n",
      "outside 72\n",
      "or 106\n",
      "not 47\n",
      "guess 43\n",
      "very 10\n",
      "many 4\n",
      "well 75\n",
      "Johnny 4\n",
      "fallin 14\n",
      "g 246\n",
      "off 127\n",
      "after 3\n",
      "tryin 8\n",
      "steal 4\n",
      "outof 112\n",
      "gon 43\n",
      "na 47\n",
      "give 17\n",
      "th 15\n",
      "em 9\n",
      "his 153\n",
      "sister 78\n",
      "washin 14\n",
      "runnin 20\n",
      "open 131\n",
      "think 35\n",
      "anythin 1\n",
      "they 49\n",
      "re 26\n",
      "whisperin 2\n",
      "motionin 1\n",
      "quiet 35\n",
      "alright 23\n",
      "taking 37\n",
      "one 116\n",
      "left 42\n",
      "reach 6\n",
      "down 33\n",
      "si 1\n",
      "inner 1\n",
      "index 1\n",
      "finger 43\n",
      "right 43\n",
      "pointed 2\n",
      "upward 1\n",
      "close 3\n",
      "mouth 34\n",
      "m 15\n",
      "maybe 11\n",
      "saying 15\n",
      "sh 14\n",
      "o 47\n",
      "because 37\n",
      "um 193\n",
      "haveto 6\n",
      "heel 4\n",
      "toe 4\n",
      "wearing 15\n",
      "shoes 22\n",
      "pompoms 1\n",
      "them 27\n",
      "look 23\n",
      "socks 11\n",
      "pretty 11\n",
      "sloppy 2\n",
      "observed 1\n",
      "slippers 3\n",
      "woman 26\n",
      "letting 7\n",
      "sink 285\n",
      "run 8\n",
      "full 11\n",
      "tilt 2\n",
      "f 36\n",
      "overflowing 103\n",
      "looks 87\n",
      "as 49\n",
      "if 28\n",
      "something 17\n",
      "else 30\n",
      "no 38\n",
      "curtain 14\n",
      "hang 1\n",
      "back 31\n",
      "end 2\n",
      "behind 9\n",
      "i 16\n",
      "side 21\n",
      "d 24\n",
      "already 12\n",
      "dried 8\n",
      "path 15\n",
      "around 10\n",
      "room 5\n",
      "believe 4\n",
      "what 102\n",
      "laughs 53\n",
      "mhm 15\n",
      "chair 15\n",
      "r 32\n",
      "tilting 11\n",
      "into 47\n",
      "do 31\n",
      "want 40\n",
      "action 95\n",
      "just 44\n",
      "climbed 5\n",
      "get 51\n",
      "some 53\n",
      "giving 13\n",
      "isn 11\n",
      "actually 4\n",
      "eating 4\n",
      "but 56\n",
      "really 9\n",
      "wiping 28\n",
      "dish 70\n",
      "wantto 6\n",
      "know 66\n",
      "sort 8\n",
      "thing 10\n",
      "goin 11\n",
      "clears 16\n",
      "throat 16\n",
      "looking 45\n",
      "paying 11\n",
      "any 22\n",
      "attention 15\n",
      "children 27\n",
      "stealing 16\n",
      "which 46\n",
      "tipping 33\n",
      "getting 85\n",
      "handing 44\n",
      "untied 1\n",
      "lid 37\n",
      "must 19\n",
      "outer 1\n",
      "space 1\n",
      "doesn 37\n",
      "notice 5\n",
      "this 36\n",
      "outta 2\n",
      "stealin 10\n",
      "so 31\n",
      "didn 5\n",
      "were 6\n",
      "nice 14\n",
      "weather 2\n",
      "grass 30\n",
      "high 8\n",
      "needs 2\n",
      "cut 1\n",
      "sighs 8\n",
      "seem 12\n",
      "blowin 6\n",
      "brisk 1\n",
      "breeze 13\n",
      "things 23\n",
      "standing 115\n",
      "asking 16\n",
      "lady 27\n",
      "doing 34\n",
      "flowing 16\n",
      "puddle 20\n",
      "picking 4\n",
      "nose 11\n",
      "don 90\n",
      "brother 20\n",
      "knock 1\n",
      "him 54\n",
      "gravity 1\n",
      "whatever 5\n",
      "while 31\n",
      "being 3\n",
      "tipped 3\n",
      "spigot 6\n",
      "let 35\n",
      "x 13\n",
      "birds 3\n",
      "geese 1\n",
      "fine 1\n",
      "alrightie 1\n",
      "arm 7\n",
      "extended 1\n",
      "at 78\n",
      "who 26\n",
      "almost 10\n",
      "like 96\n",
      "trying 27\n",
      "lower 1\n",
      "ready 14\n",
      "rag 1\n",
      "holding 12\n",
      "stepping 19\n",
      "too 13\n",
      "xxx 44\n",
      "far 5\n",
      "matter 2\n",
      "where 12\n",
      "start 9\n",
      "then 16\n",
      "step 12\n",
      "tilted 6\n",
      "now 11\n",
      "descriptive 1\n",
      "lids 1\n",
      "how 8\n",
      "actions 1\n",
      "kindof 4\n",
      "towards 4\n",
      "giggling 1\n",
      "outdoors 1\n",
      "moving 10\n",
      "saucers 3\n",
      "oh 61\n",
      "me 22\n",
      "everything 16\n",
      "happening 16\n",
      "plus 1\n",
      "stuff 2\n",
      "gotten 3\n",
      "meantime 5\n",
      "more 21\n",
      "clean 1\n",
      "lovely 1\n",
      "day 11\n",
      "leaves 5\n",
      "summer 20\n",
      "their 13\n",
      "clothes 2\n",
      "reachin 15\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "washed 2\n",
      "means 2\n",
      "frowning 2\n",
      "turning 2\n",
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      "stop 1\n",
      "pour 1\n",
      "okeydokey 1\n",
      "naturally 2\n",
      "goi 1\n",
      "trip 2\n",
      "daze 2\n",
      "depression 2\n",
      "kay 1\n",
      "impervious 1\n",
      "unconscious 1\n",
      "tapping 1\n",
      "happens 1\n",
      "dʌ 1\n",
      "fluttering 1\n",
      "waitin 1\n",
      "bein 1\n",
      "overrunning 1\n",
      "sunny 2\n",
      "daft 1\n",
      "Eve 1\n",
      "encouraging 1\n",
      "deeply 1\n",
      "interpreted 1\n",
      "sinks 1\n",
      "spaced 1\n",
      "danger 1\n",
      "considered 1\n",
      "leaving 1\n",
      "j 1\n",
      "supposed 1\n",
      "hazardous 1\n",
      "condition 1\n",
      "took 2\n",
      "fouled 1\n",
      "correct 1\n",
      "sl 1\n",
      "ordinary 1\n",
      "words 1\n",
      "passing 1\n",
      "labelled 1\n",
      "Cookiejar 1\n",
      "messed 1\n",
      "ain 2\n",
      "writing 1\n",
      "upside 1\n",
      "gesturing 1\n",
      "trouble 1\n",
      "galore 1\n",
      "addition 1\n",
      "collapse 1\n",
      "aside 1\n",
      "tanding 1\n",
      "shows 1\n",
      "trousers 1\n",
      "sweater 1\n",
      "makin 1\n",
      "made 2\n",
      "listening 1\n",
      "mirror 1\n",
      "allow 1\n",
      "fresh 1\n",
      "st 1\n",
      "su 1\n",
      "fancy 2\n",
      "settin 1\n",
      "couldn 1\n",
      "pointin 1\n",
      "mentioned 1\n",
      "badly 1\n",
      "damaged 1\n",
      "Billy 1\n",
      "grassy 1\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'print_frequent_words' is not defined",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-53-c59a9c8401a2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mdf_alz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'label'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'Dementia'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplot_word_distribution\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_control\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mprint_frequent_words\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'print_frequent_words' is not defined"
     ],
     "output_type": "error"
    }
   ],
   "source": [
    "df_control = df[df['label'] == 'Control']\n",
    "df_alz = df[df['label'] == 'Dementia']\n",
    "plot_word_distribution(df_control)\n",
    "print_frequent_words()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of different words: 1502\n",
      "well 179\n",
      "there 341\n",
      "s 1897\n",
      "uh 808\n",
      "a 733\n",
      "little 266\n",
      "girl 223\n",
      "here 122\n",
      "and 1397\n",
      "that 456\n",
      "looks 76\n",
      "like 101\n",
      "on 450\n",
      "her 237\n",
      "right 39\n",
      "side 18\n",
      "young 19\n",
      "lady 42\n",
      "she 583\n",
      "washing 73\n",
      "the 2787\n",
      "cleaning 5\n",
      "what 184\n",
      "is 774\n",
      "exc 268\n",
      "all 135\n",
      "bad 8\n",
      "things 24\n",
      "sink 239\n",
      "overflowing 46\n",
      "stool 317\n",
      "going 90\n",
      "over 308\n",
      "cookie 400\n",
      "jar 295\n",
      "I 522\n",
      "guess 68\n",
      "saying 11\n",
      "give 17\n",
      "me 36\n",
      "shh 11\n",
      "mhm 36\n",
      "alright 19\n",
      "um 94\n",
      "boy 290\n",
      "getting 55\n",
      "it 467\n",
      "he 455\n",
      "in 321\n",
      "shape 1\n",
      "because 36\n",
      "thing 31\n",
      "fallin 49\n",
      "g 717\n",
      "picture 28\n",
      "mother 199\n",
      "washin 48\n",
      "dishes 308\n",
      "doesn 32\n",
      "t 284\n",
      "see 184\n",
      "so 58\n",
      "water 354\n",
      "might 16\n",
      "get 116\n",
      "falled 1\n",
      "ed 1\n",
      "if 33\n",
      "you 157\n",
      "don 122\n",
      "fell 14\n",
      "fall 106\n",
      "of 167\n",
      "kitchen 40\n",
      "window 104\n",
      "curtains 42\n",
      "are 113\n",
      "very 27\n",
      "distinct 1\n",
      "but 90\n",
      "flow 1\n",
      "still 22\n",
      "flowing 10\n",
      "touchin 4\n",
      "cake 5\n",
      "r 129\n",
      "reachin 25\n",
      "his 187\n",
      "hand 90\n",
      "up 211\n",
      "woman 33\n",
      "dryin 66\n",
      "falling 65\n",
      "cups 45\n",
      "plate 45\n",
      "wasits 1\n",
      "flowin 3\n",
      "hasn 5\n",
      "fallen 2\n",
      "yet 12\n",
      "telling 12\n",
      "him 82\n",
      "to 445\n",
      "do 56\n",
      "hm 39\n",
      "children 18\n",
      "wash 11\n",
      "okay 65\n",
      "yeah 63\n",
      "father 1\n",
      "didn 27\n",
      "come 9\n",
      "gettin 49\n",
      "ready 23\n",
      "with 80\n",
      "went 9\n",
      "down 125\n",
      "gon 111\n",
      "na 113\n",
      "countin 1\n",
      "th 39\n",
      "em 20\n",
      "dy 1\n",
      "dry 11\n",
      "let 57\n",
      "run 34\n",
      "almost 10\n",
      "off 134\n",
      "they 90\n",
      "had 13\n",
      "couple 9\n",
      "ones 3\n",
      "have 38\n",
      "anything 21\n",
      "drying 79\n",
      "huhuh 1\n",
      "one 108\n",
      "standing 62\n",
      "holding 12\n",
      "for 158\n",
      "then 45\n",
      "some 107\n",
      "only 5\n",
      "floor 163\n",
      "has 140\n",
      "problem 2\n",
      "two 67\n",
      "plates 7\n",
      "xxx 95\n",
      "comes 3\n",
      "sprinkling 1\n",
      "kid 46\n",
      "at 104\n",
      "sister 75\n",
      "from 75\n",
      "laughs 173\n",
      "now 34\n",
      "top 14\n",
      "finally 1\n",
      "got 81\n",
      "ever 1\n",
      "puts 1\n",
      "arm 5\n",
      "sh 24\n",
      "hers 2\n",
      "oh 158\n",
      "want 30\n",
      "tell 37\n",
      "doing 30\n",
      "spilling 26\n",
      "spigot 16\n",
      "know 101\n",
      "perhaps 1\n",
      "coughs 1\n",
      "pardon 3\n",
      "re 43\n",
      "looking 39\n",
      "out 149\n",
      "into 39\n",
      "garden 7\n",
      "open 52\n",
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      "done 4\n",
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      "pointing 3\n",
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      "noise 3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "listening 1\n",
      "tasty 1\n",
      "precarious 2\n",
      "sloppin 1\n",
      "shrubs 2\n",
      "apples 1\n",
      "both 3\n",
      "baby 1\n",
      "pineapple 1\n",
      "partially 1\n",
      "tellin 3\n",
      "lopsided 1\n",
      "couldn 1\n",
      "mistake 1\n",
      "bʌʃɪŋ 1\n",
      "gushin 1\n",
      "boys 3\n",
      "choc 1\n",
      "dɪʃɪn 1\n",
      "hon 2\n",
      "ey 2\n",
      "sorry 1\n",
      "chuckles 1\n",
      "homely 1\n",
      "grunt 1\n",
      "tea 2\n",
      "faucets 2\n",
      "bənʌf 1\n",
      "above 3\n",
      "bove 1\n",
      "road 1\n",
      "drive 1\n",
      "kol 1\n",
      "kɪt 1\n",
      "job 1\n",
      "ask 2\n",
      "read 1\n",
      "teetering 1\n",
      "wi 1\n",
      "watching 3\n",
      "beautiful 1\n",
      "ofcourse 5\n",
      "immersed 1\n",
      "allowed 2\n",
      "dear 1\n",
      "someone 1\n",
      "should 5\n",
      "honey 2\n",
      "oldest 1\n",
      "ten 1\n",
      "kick 1\n",
      "ass 1\n",
      "rollin 1\n",
      "ink 1\n",
      "direction 1\n",
      "definitely 1\n",
      "sounds 1\n",
      "airplane 1\n",
      "titled 1\n",
      "hell 3\n",
      "dumb 1\n",
      "hmhunh 3\n",
      "flue 1\n",
      "beep 1\n",
      "ohno 1\n",
      "sinks 1\n",
      "meant 2\n",
      "sitting 3\n",
      "wanted 2\n",
      "pencil 1\n",
      "doctor 1\n",
      "sit 1\n",
      "bout 2\n",
      "slantin 1\n",
      "kay 1\n",
      "persons 1\n",
      "instructing 1\n",
      "collapse 1\n",
      "windo 3\n",
      "ro 1\n",
      "plug 2\n",
      "warm 1\n",
      "sunny 2\n",
      "talking 3\n",
      "beside 2\n",
      "behind 3\n",
      "caught 2\n",
      "halfway 1\n",
      "clean 2\n",
      "waving 5\n",
      "painting 1\n",
      "nd 1\n",
      "sees 2\n",
      "pro 2\n",
      "po 1\n",
      "possibly 1\n",
      "whispering 2\n",
      "tear 1\n",
      "cutting 1\n",
      "piece 2\n",
      "ps 1\n",
      "beggin 3\n",
      "pointin 1\n",
      "since 2\n",
      "st 6\n",
      "drawer 2\n",
      "killed 1\n",
      "gal 2\n",
      "payin 2\n",
      "drippin 2\n",
      "workin 1\n",
      "criticizing 1\n",
      "neighborhood 1\n",
      "neighbor 3\n",
      "shoe 2\n",
      "tie 2\n",
      "shows 2\n",
      "sis 1\n",
      "gather 1\n",
      "obviously 3\n",
      "mind 3\n",
      "tilty 1\n",
      "unfortunately 1\n",
      "least 3\n",
      "shortly 1\n",
      "mommy 3\n",
      "snitchin 2\n",
      "toppling 3\n",
      "realizes 1\n",
      "slipped 1\n",
      "wait 2\n",
      "tool 1\n",
      "sittin 3\n",
      "washes 1\n",
      "settin 1\n",
      "mouse 1\n",
      "attempt 1\n",
      "friend 1\n",
      "beckoning 1\n",
      "manicured 1\n",
      "overrun 2\n",
      "everguhuhgreens 1\n",
      "evergreens 1\n",
      "sw 1\n",
      "sɪŋkəl 1\n",
      "single 1\n",
      "robbin 1\n",
      "forgettin 2\n",
      "dump 1\n",
      "stumblin 1\n",
      "bowls 2\n",
      "tried 1\n",
      "climb 1\n",
      "heck 1\n",
      "sloppy 3\n",
      "donating 1\n",
      "hadn 3\n",
      "oughtto 1\n",
      "myself 1\n",
      "www 1\n",
      "hold 2\n",
      "diamonds 1\n",
      "duck 2\n",
      "housekeeper 1\n",
      "bet 1\n",
      "air 2\n",
      "copyright 1\n",
      "nineteen 1\n",
      "seventy 1\n",
      "LeeA 1\n",
      "hanging 1\n",
      "wall 4\n",
      "extension 2\n",
      "wearin 1\n",
      "motion 1\n",
      "silence 1\n",
      "fingers 2\n",
      "bottom 4\n",
      "closed 3\n",
      "handles 6\n",
      "sets 1\n",
      "tied 1\n",
      "spout 1\n",
      "ja 1\n",
      "overf 1\n",
      "remember 1\n",
      "shirt 1\n",
      "hɑɹ 1\n",
      "tent 1\n",
      "interesting 1\n",
      "pan 2\n",
      "neither 1\n",
      "panes 1\n",
      "showing 1\n",
      "partial 1\n",
      "scenery 1\n",
      "slanting 1\n",
      "pool 1\n",
      "outdoors 2\n",
      "position 1\n",
      "tumble 1\n",
      "moves 1\n",
      "sentence 1\n",
      "designate 1\n",
      "hungry 1\n",
      "bring 3\n",
      "knows 2\n",
      "noticing 1\n",
      "saw 2\n",
      "means 2\n",
      "thinking 4\n",
      "lunch 1\n",
      "certainly 1\n",
      "pearl 1\n",
      "mo 1\n",
      "days 1\n",
      "gone 2\n",
      "unless 1\n",
      "silly 1\n",
      "act 1\n",
      "age 1\n",
      "drawers 1\n",
      "build 1\n",
      "unusual 2\n",
      "responsible 1\n",
      "dad 1\n",
      "conflict 1\n",
      "whereas 2\n",
      "sizes 1\n",
      "sledge 1\n",
      "hammer 1\n",
      "believe 2\n",
      "words 1\n",
      "deciding 2\n",
      "ahead 2\n",
      "saved 1\n",
      "harmed 1\n",
      "pull 2\n",
      "sad 1\n",
      "threesome 1\n",
      "driveway 2\n",
      "strong 1\n",
      "bra 1\n",
      "hek 1\n",
      "real 4\n",
      "touch 2\n",
      "cleanin 2\n",
      "spread 2\n",
      "along 1\n",
      "plus 1\n",
      "facin 2\n",
      "handle 1\n",
      "angle 2\n",
      "tɪpəld 1\n",
      "toppled 1\n",
      "momma 1\n",
      "calmly 1\n",
      "lip 2\n",
      "enjoying 1\n",
      "dishwashing 3\n",
      "tur 1\n",
      "longer 1\n",
      "evidently 2\n",
      "absentmindedly 1\n",
      "roo 1\n",
      "roof 1\n",
      "says 1\n",
      "raised 1\n",
      "outdoor 1\n",
      "landscaping 1\n",
      "often 1\n",
      "lousy 1\n",
      "washer 2\n",
      "tips 1\n",
      "ma 1\n",
      "against 1\n",
      "affected 1\n",
      "reference 1\n",
      "carpentry 1\n",
      "affair 1\n",
      "half 3\n",
      "eventually 1\n",
      "darn 1\n",
      "own 2\n",
      "shall 2\n",
      "crawled 1\n",
      "tiltin 2\n",
      "share 1\n",
      "lis 1\n",
      "slippin 1\n",
      "wowie 1\n",
      "wondering 1\n",
      "ov 1\n",
      "process 1\n",
      "blowin 2\n",
      "wee 2\n",
      "blind 1\n",
      "puffy 1\n",
      "slight 1\n",
      "herself 1\n",
      "venture 1\n",
      "clogged 1\n",
      "draining 1\n",
      "angry 2\n",
      "ends 1\n",
      "fact 1\n",
      "bumpin 1\n",
      "calm 1\n",
      "upside 3\n",
      "cappdf 1\n",
      "seven 2\n",
      "five 1\n",
      "whisperin 1\n",
      "shouldn 1\n",
      "bother 1\n",
      "hoping 1\n",
      "wat 1\n",
      "filling 1\n",
      "op 1\n",
      "flu 1\n",
      "careless 1\n",
      "noises 1\n",
      "eaten 1\n",
      "incomplete 1\n",
      "together 1\n",
      "sau 1\n",
      "eems 1\n",
      "howabout 1\n",
      "dug 1\n",
      "tripping 2\n",
      "letters 1\n",
      "whatcha 1\n",
      "sash 1\n",
      "adjacent 1\n",
      "building 1\n",
      "slippers 1\n",
      "sandals 2\n",
      "anywhere 1\n",
      "touching 1\n",
      "wahoo 1\n",
      "ho 2\n",
      "calamity 1\n",
      "assume 4\n",
      "keeps 1\n",
      "presume 1\n",
      "sorto 1\n",
      "bitchy 1\n",
      "floodin 1\n",
      "plat 1\n",
      "pl 1\n",
      "flooding 1\n",
      "happens 1\n",
      "gosh 1\n",
      "Johnny 4\n",
      "kæl 1\n",
      "lay 1\n",
      "ust 1\n",
      "forget 1\n",
      "spilt 3\n",
      "actions 1\n",
      "picked 1\n",
      "broken 1\n",
      "silencing 2\n",
      "kɪtʃə 1\n",
      "sharing 1\n",
      "pleasures 1\n",
      "checked 1\n",
      "new 1\n",
      "game 1\n",
      "play 1\n",
      "christmas 1\n",
      "bʌmbʌdɪ 2\n",
      "sings 2\n",
      "beat 2\n",
      "rows 1\n",
      "machine 1\n",
      "school 1\n",
      "ca 1\n",
      "keeping 1\n",
      "dishwashin 1\n",
      "sk 1\n",
      "steppin 1\n",
      "talk 2\n",
      "mumbles 1\n",
      "bunch 2\n",
      "hiss 1\n",
      "possible 1\n",
      "line 1\n",
      "sort 1\n",
      "pattern 1\n",
      "changing 1\n",
      "clock 2\n",
      "bent 1\n",
      "knee 1\n",
      "ails 1\n",
      "planted 1\n",
      "solidly 1\n",
      "ground 1\n",
      "sleeve 1\n",
      "sleeved 1\n",
      "gesturing 1\n",
      "fountain 2\n",
      "found 1\n",
      "leak 1\n",
      "every 1\n",
      "mantle 1\n",
      "squirting 1\n",
      "cross 1\n",
      "indicates 1\n",
      "balance 1\n",
      "room 1\n",
      "trap 1\n",
      "gɪɾəl 1\n",
      "bɪɾəl 1\n",
      "highchair 1\n",
      "plain 1\n",
      "awfully 1\n",
      "distinguish 1\n",
      "sigh 2\n",
      "leaking 1\n",
      "jack 1\n",
      "cushion 1\n",
      "hat 1\n",
      "reason 1\n",
      "ave 2\n",
      "salient 1\n",
      "fellow 1\n",
      "wipes 1\n",
      "dries 1\n",
      "forth 1\n",
      "missing 1\n",
      "having 1\n",
      "plant 1\n",
      "shiny 1\n",
      "dɛdɪk 1\n",
      "length 1\n",
      "lengths 1\n",
      "difference 1\n",
      "passin 1\n",
      "stacked 1\n",
      "mistakes 3\n",
      "changin 1\n",
      "filled 1\n",
      "laying 1\n",
      "tilts 1\n",
      "event 2\n",
      "oblivious 1\n",
      "hurry 1\n",
      "stoo 1\n",
      "rooms 1\n",
      "kept 2\n",
      "frickin 1\n",
      "nephew 1\n",
      "grandson 1\n",
      "fun 1\n",
      "depends 1\n",
      "sneaking 1\n",
      "Sue 1\n",
      "light 1\n",
      "seeing 1\n",
      "project 1\n",
      "otherwise 1\n",
      "commode 1\n",
      "male 1\n",
      "si 1\n",
      "cou 1\n",
      "stretches 1\n",
      "dressed 1\n",
      "somewhat 1\n",
      "obliterated 1\n",
      "completely 1\n",
      "outfitted 1\n",
      "tennis 1\n",
      "laugh 1\n",
      "missed 1\n",
      "scotfree 1\n",
      "colors 1\n",
      "life 1\n",
      "un 1\n",
      "til 1\n",
      "raising 1\n",
      "carryin 1\n",
      "eel 1\n",
      "throwing 1\n",
      "stick 1\n",
      "stay 1\n",
      "person 1\n",
      "catchin 1\n",
      "gives 1\n",
      "eatin 1\n",
      "overflown 3\n",
      "sound 1\n",
      "four 1\n",
      "mamas 1\n",
      "excuse 1\n"
     ]
    }
   ],
   "source": [
    "plot_word_distribution(df_alz)"
   ]
  },
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  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
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