EDA_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset exploration of CEReD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import regex as re\n",
    "from pandas.api.types import CategoricalDtype\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore') # parameters : default or ignore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "950\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>person_id</th>\n",
       "      <th>subject</th>\n",
       "      <th>ordering</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "      <th>Q5</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>diary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Zatím jsem absolvovala náslechové hodiny v hod...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Jsem ráda, že jsem si vybrala školu, kterou na...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Praxe už mám skoro za sebou. Je tolik věcí, na...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>První úkol a co napsat. Sedím pátý den na prax...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Čtrnáct dní uteklo jako voda a já sedím a přem...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  person_id      subject  ordering  Q1  Q2  Q3  Q4  Q5  Q6  Q7  \\\n",
       "0   0          1  český jazyk         1   1   1   1   1   1   1   1   \n",
       "1   1          1  český jazyk         2   1   1   1   1   1   1   1   \n",
       "2   2          1  český jazyk         3   1   1   1   1   1   1   1   \n",
       "3   3          2  český jazyk         1   1   1   2   2   1   2   1   \n",
       "4   4          2  český jazyk         2   1   1   2   2   1   2   1   \n",
       "\n",
       "                                               diary  \n",
       "0  Zatím jsem absolvovala náslechové hodiny v hod...  \n",
       "1  Jsem ráda, že jsem si vybrala školu, kterou na...  \n",
       "2  Praxe už mám skoro za sebou. Je tolik věcí, na...  \n",
       "3  První úkol a co napsat. Sedím pátý den na prax...  \n",
       "4  Čtrnáct dní uteklo jako voda a já sedím a přem...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# anonymized subset of czech diaries collected from the candidate student teachers.\n",
    "diaries = pd.read_csv('./run_to_cluster/data/diaries/cs/diaries.tsv',sep='\\t')\n",
    "print(len(diaries))\n",
    "diaries.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In English\n",
      "Lenght training set : 6096\n",
      "Lenght validation set : 339\n",
      "Lenght testing set : 339\n",
      "\n",
      "In Czech\n",
      "Lenght training set : 6096\n",
      "Lenght validation set : 339\n",
      "Lenght testing set : 339\n"
     ]
    },
    {
     "data": {
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       "    .dataframe thead th {\n",
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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>idx</th>\n",
       "      <th>context</th>\n",
       "      <th>sentence</th>\n",
       "      <th>y</th>\n",
       "      <th>confidence</th>\n",
       "      <th>y_requires_context</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1907</td>\n",
       "      <td>I have to explain to some why I gave them such...</td>\n",
       "      <td>Unfortunately, I won't have time to get around...</td>\n",
       "      <td>Experience</td>\n",
       "      <td>[5, 4]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4486</td>\n",
       "      <td>I warn them of mistakes. They read in front of...</td>\n",
       "      <td>What I liked: They worked, even though they we...</td>\n",
       "      <td>Feeling</td>\n",
       "      <td>[5, 2]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6544</td>\n",
       "      <td>When I ask MiÅ¡a that maybe all three are work...</td>\n",
       "      <td>Another situation occurred when I asked MÃ­Å¡a...</td>\n",
       "      <td>Experience</td>\n",
       "      <td>[3, 5]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5966</td>\n",
       "      <td>Pupils reported a lot and enjoyed reading and ...</td>\n",
       "      <td>So far there has been no problem.</td>\n",
       "      <td>Experience</td>\n",
       "      <td>[4, 4]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6218</td>\n",
       "      <td>First, I divided the children into groups usin...</td>\n",
       "      <td>The children were given a task in groups and t...</td>\n",
       "      <td>Other</td>\n",
       "      <td>[6, 6]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3066</td>\n",
       "      <td>Perhaps the most fun thing there is just liste...</td>\n",
       "      <td>When I came up with activities for them, I wan...</td>\n",
       "      <td>Experience</td>\n",
       "      <td>[5, 5]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4711</td>\n",
       "      <td>But this debate was humorous and with mutual r...</td>\n",
       "      <td>Pupils had a complete assignment in the Inform...</td>\n",
       "      <td>Other</td>\n",
       "      <td>[6, 7]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3726</td>\n",
       "      <td>On the one hand, it was a change for the child...</td>\n",
       "      <td>I think that the involvement of modern technol...</td>\n",
       "      <td>Belief</td>\n",
       "      <td>[4, 6]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>6525</td>\n",
       "      <td>So I'm starting to admire the teacher more and...</td>\n",
       "      <td>But I simply say that it was not easy and some...</td>\n",
       "      <td>Difficulty</td>\n",
       "      <td>[6, 5]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6122</td>\n",
       "      <td>We still had a teacher at the high school, who...</td>\n",
       "      <td>Fortunately, she's fine, and from what I've he...</td>\n",
       "      <td>Other</td>\n",
       "      <td>[6, 5]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    idx                                            context  \\\n",
       "0  1907  I have to explain to some why I gave them such...   \n",
       "1  4486  I warn them of mistakes. They read in front of...   \n",
       "2  6544  When I ask MiÅ¡a that maybe all three are work...   \n",
       "3  5966  Pupils reported a lot and enjoyed reading and ...   \n",
       "4  6218  First, I divided the children into groups usin...   \n",
       "5  3066  Perhaps the most fun thing there is just liste...   \n",
       "6  4711  But this debate was humorous and with mutual r...   \n",
       "7  3726  On the one hand, it was a change for the child...   \n",
       "8  6525  So I'm starting to admire the teacher more and...   \n",
       "9  6122  We still had a teacher at the high school, who...   \n",
       "\n",
       "                                            sentence           y confidence  \\\n",
       "0  Unfortunately, I won't have time to get around...  Experience     [5, 4]   \n",
       "1  What I liked: They worked, even though they we...     Feeling     [5, 2]   \n",
       "2  Another situation occurred when I asked MÃ­Å¡a...  Experience     [3, 5]   \n",
       "3                  So far there has been no problem.  Experience     [4, 4]   \n",
       "4  The children were given a task in groups and t...       Other     [6, 6]   \n",
       "5  When I came up with activities for them, I wan...  Experience     [5, 5]   \n",
       "6  Pupils had a complete assignment in the Inform...       Other     [6, 7]   \n",
       "7  I think that the involvement of modern technol...      Belief     [4, 6]   \n",
       "8  But I simply say that it was not easy and some...  Difficulty     [6, 5]   \n",
       "9  Fortunately, she's fine, and from what I've he...       Other     [6, 5]   \n",
       "\n",
       "  y_requires_context  \n",
       "0                NaN  \n",
       "1                NaN  \n",
       "2                NaN  \n",
       "3                NaN  \n",
       "4                NaN  \n",
       "5                NaN  \n",
       "6                NaN  \n",
       "7                NaN  \n",
       "8                NaN  \n",
       "9                NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load the datasets of the sentences, train, val, test sets\n",
    "# in English\n",
    "sentences_en_tr = pd.read_csv('./run_to_cluster/data/sentences/en/train/sentences.tsv',sep='\\t')\n",
    "sentences_en_val = pd.read_csv('./run_to_cluster/data/sentences/en/val/sentences.tsv',sep='\\t')\n",
    "sentences_en_te = pd.read_csv('./run_to_cluster/data/sentences/en/test/sentences.tsv',sep='\\t')\n",
    "print(f'In English\\nLenght training set : {len(sentences_en_tr)}')\n",
    "print(f'Lenght validation set : {len(sentences_en_val)}')\n",
    "print(f'Lenght testing set : {len(sentences_en_te)}')\n",
    "\n",
    "# in Czech\n",
    "sentences_cs_tr = pd.read_csv('./run_to_cluster/data/sentences/cs/train/sentences.tsv',sep='\\t')\n",
    "sentences_cs_val = pd.read_csv('./run_to_cluster/data/sentences/cs/val/sentences.tsv',sep='\\t')\n",
    "sentences_cs_te = pd.read_csv('./run_to_cluster/data/sentences/cs/test/sentences.tsv',sep='\\t')\n",
    "print(f'\\nIn Czech\\nLenght training set : {len(sentences_cs_tr)}')\n",
    "print(f'Lenght validation set : {len(sentences_cs_val)}')\n",
    "print(f'Lenght testing set : {len(sentences_cs_te)}')\n",
    "sentences_en_tr.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique labels: ['Experience', 'Feeling', 'Other', 'Belief', 'Difficulty', 'Intention', 'Learning', 'Reflection', 'Perspective']\n"
     ]
    }
   ],
   "source": [
    "print(f\"Unique labels: {sentences_en_tr['y'].unique().tolist()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Applying custom categorical order to training set\n",
    "df_copy = sentences_en_tr.copy()\n",
    "M_catType = CategoricalDtype(categories = ['Reflection', 'Difficulty', 'Experience', 'Other', 'Feeling', 'Belief', 'Perspective', 'Intention', 'Learning'], ordered = True)\n",
    "\n",
    "def add_mean_confidence(df):\n",
    "    df['confidence_mean'] = np.zeros(len(df))\n",
    "    for idx, pair in enumerate(df['confidence']):\n",
    "        df['confidence_mean'].iloc[idx] = np.array(re.findall(r'\\d+', pair)).astype(float).mean()\n",
    "    return df\n",
    "\n",
    "def add_diff_confidence(df):\n",
    "    idx_single_conf = []\n",
    "    df['diff_confidence'] = np.zeros(len(df))\n",
    "    for idx, pair in enumerate(df[\"confidence\"]):\n",
    "        pair = np.array(re.findall(r'\\d+', pair)).astype(float)\n",
    "        if len(pair) == 1:\n",
    "            diff = 0  \n",
    "            idx_single_conf.append(idx)\n",
    "        else :\n",
    "            diff = np.abs(pair[0] - pair[1])\n",
    "        df['diff_confidence'].iloc[idx] = diff\n",
    "    return df, idx_single_conf\n",
    "\n",
    "fig, axs = plt.subplots(1,4, figsize = (15,5))\n",
    "\n",
    "# categories\n",
    "df_copy['y'] = df_copy['y'].astype(M_catType)\n",
    "sns.histplot(df_copy['y'], ax = axs[0])\n",
    "axs[0].set_title(\"Reflectivity categories\")\n",
    "axs[0].set_xlabel(\"\")\n",
    "axs[0].tick_params(axis='x',labelrotation = 45)\n",
    "\n",
    "# number of words in sentence\n",
    "sns.histplot([len(str(sentence).split()) for sentence in df_copy['sentence']], ax = axs[1], kde = True)\n",
    "axs[1].set_title(\"Number of words in sentence\")\n",
    "\n",
    "# mean confidence\n",
    "df_copy = add_mean_confidence(df_copy)\n",
    "sns.countplot(data = df_copy, x = 'confidence_mean', ax=axs[2])\n",
    "axs[2].set_title(f'Mean confidence')\n",
    "axs[2].tick_params(axis='x',labelrotation = 45)\n",
    "\n",
    "#diff confidence\n",
    "df_copy, _ = add_diff_confidence(df_copy)\n",
    "sns.countplot(data = df_copy, x = 'diff_confidence', ax=axs[3])\n",
    "axs[3].set_title(f'Difference in confidence')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory analysis of the English dataset\n",
    "\n",
    "plot distrib for each train/val/test of:\n",
    "- nb of words in context\n",
    "- nb of words in sentence\n",
    "- y\n",
    "- confidence (maybe remix the matching pairs like [2,5] and [5,2])\n",
    "- y_requires_context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_sets(set):\n",
    "    if set == 'tr':\n",
    "        data = sentences_en_tr\n",
    "    elif set == 'val':\n",
    "        data = sentences_en_val\n",
    "    else:\n",
    "        data = sentences_en_te\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distribution of labels\n",
    "\n",
    "# Applying custom categorical order to training set\n",
    "M_catType = CategoricalDtype(categories = ['Reflection', 'Difficulty', 'Experience', 'Other', 'Feeling', 'Belief', 'Perspective', 'Intention', 'Learning'], ordered = True)\n",
    "\n",
    "fig, axs = plt.subplots(1,3, figsize = (15,5))\n",
    "for i, split in enumerate(['tr', 'val', 'te']):\n",
    "    df = split_sets(split)\n",
    "    df['y'] = df['y'].astype(M_catType)\n",
    "    sns.histplot(df['y'], ax = axs[i])\n",
    "    axs[i].set_title(f'Distrib. labels in {str(split)} set')\n",
    "    axs[i].tick_params(axis='x',labelrotation = 45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean # words in context for tr, val, te sets : [63.582, 64.186, 63.988]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distributions number of words in context\n",
    "fig, axs = plt.subplots(1,3, figsize = (15,5))\n",
    "mean = []\n",
    "for i, split in enumerate(['tr', 'val', 'te']):\n",
    "    df = split_sets(split)\n",
    "    sns.histplot([len(str(sentence).split()) for sentence in df['context']], ax = axs[i], kde = True)\n",
    "    mean.append(np.mean([len(str(sentence).split()) for sentence in df['context']]).round(3))\n",
    "    #axs[i].vlines(np.mean([len(str(sentence).split()) for sentence in df['context']]), ymin = 0, ymax = 100, color = 'r', label = 'mean')\n",
    "    axs[i].set_title(f'Distrib. # words in context of {str(split)} set')\n",
    "    #axs[i].legend()\n",
    "print(f'Mean # words in context for tr, val, te sets : {mean}')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean # words in sentence for tr, val, te sets : [19.401, 20.012, 19.186]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distributions number of words in sentence\n",
    "fig, axs = plt.subplots(1,3, figsize = (15,5))\n",
    "mean = []\n",
    "for i, split in enumerate(['tr', 'val', 'te']):\n",
    "    df = split_sets(split)\n",
    "    sns.histplot([len(str(sentence).split()) for sentence in df['sentence']], ax = axs[i], kde = True)\n",
    "    mean.append(np.mean([len(str(sentence).split()) for sentence in df['sentence']]).round(3))\n",
    "    axs[i].set_title(f'Distrib. # words in sentence of {str(split)} set')\n",
    "print(f'Mean # words in sentence for tr, val, te sets : {mean}')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RQtHR0XrttdesmAMHDujLL78s9/4FBgbKGGP9/KDhIZ+QT8gnF34+GTlypJxOp5YsWSJJ+uqrr7Rp0yb9/ve/t2IKCwt13XXX6dNPP9XTTz+ttWvXatOmTXrrrbckqUrv36ljXrNmjQYMGKDZs2frN7/5jZo3b66JEyfqyJEjkv7v/e7atWu59/v1118n9zRg5B5yD7nnws89lTlw4IAOHz4sX1/fcvPNyck57Wd/Q8gtPO30AvPee++ptLRUPXv2PG3cddddp+uuu06lpaXavHmzkpOTlZCQoLCwMN1xxx1VOpfD4ajyuHJyciptq+gDqyomTpyo2267TZ9//rnmz5+vyy+//Kw/gE6dS7NmzeRwOPTJJ59U+BTJk20nx17Z/H69cuXn5ydJKi4u9oirzofAqeNs2rSpvLy8NGrUKI0fP77CY1q3bi1J8vb21qRJkzRp0iQdPnxYq1ev1mOPPaYBAwZo3759VXoqUvPmzbVu3TqVlZVVmrRCQkJ04sQJHTx40OOD3BijnJwc62qsmtCsWTNJUnJysrp3715hzMknZUm/PKXniSeeUNeuXbVp0ybNmTNHkyZNOuvzn8+5/lp1fveGDh2qoUOHqri4WBs3blRSUpJGjBihVq1aKTY2Vs2aNZO/v79eeeWVCo8/+R6j4SGfkE9ORT658PJJ06ZNNXToUC1btkxPP/20Fi9eLD8/P/32t7+1Yj766CP95z//0dq1a62r3STp8OHDZz2fqKgoLVq0SJL09ddf629/+5sSExNVUlKiv/zlL9b7/cYbb9hydQ0uXOQecs+pyD0XXu6pTLNmzRQSEqL09PQK9wcGBp72+PqeW7jy7QKyd+9eTZkyRS6XS/fdd1+VjvHy8lK3bt2sVZeTl02f/ECu7mpnZXbs2KEvvvjCo23FihUKDAzUb37zm7Pq8+abb1bLli01efJkrV69WuPGjatWEj2d+Ph4GWP0448/qkuXLuW2mJgYSVL37t3l5+en5cuXexy/fv36cpcan0xeX375pUf722+/fdbjbNSokXr16qWtW7eqQ4cOFY61on8QNGnSRLfeeqvGjx+vn376SXv27KnS+QYNGqRjx45ZK+gV6dOnjyQpJSXFo/3NN9/U0aNHrf3VUdnP4zXXXKMmTZroq6++qnDuXbp0ka+vr6RfVlJvu+02tWrVSh9//LEefPBBPfroo/r000/LnauqP/d2zLW6Y6hOn3FxcXr22WclSVu3bpX0y8/6d999p5CQkArfv1//o8uOcaFuIp+QT8gn9SOfSL989fQ///mP3n//faWkpOjmm29WkyZNrP0nf9ZP/QP9pZdeOutz/trll1+uP/zhD4qJibE+FwYMGCBvb2999913lb7fJ9X0ZwjqLnIPuYfcUz9yT2VjiI+P16FDh1RaWlrhXNu2bVvlc9TH3MKVb3XU9u3bre8w5+bm6pNPPtHixYvl5eWltLS0cpeO/tpf/vIXffTRR7rxxhvVsmVLHTt2zLrqpW/fvpJ+qTpHRUXpH//4h/r06aPg4GA1a9bsrO5BIEkREREaMmSIEhMTFR4erpSUFGVkZOjZZ5/1WKXw9vZWXFxclb5f7uXlpfHjx+uRRx5RQEBAue+qn4trrrlG9957r37/+99r8+bNuv766xUQEKDs7GytW7dOMTExeuCBB9S0aVNNmTJFTz/9tO6++27ddttt2rdvnxITE8tdqt21a1e1bdtWU6ZM0YkTJ9S0aVOlpaVp3bp15zTW559/Xtdee62uu+46PfDAA2rVqpWOHDmib7/9Vu+88471Xf7BgwcrOjpaXbp0UfPmzfXDDz9o3rx5ioqKUps2bap0rt/+9rdavHix7r//fu3atUu9evVSWVmZPv30U7Vr10533HGH+vXrpwEDBuiRRx5RQUGBrrnmGn355ZeaMWOGOnXqpFGjRlV7jifvS/Pyyy8rMDBQfn5+at26tUJCQpScnKzRo0frp59+0q233qrQ0FAdPHhQX3zxhQ4ePKgFCxZIku6//37t3btXn332mQICAvTcc89pw4YNuuOOO7R161brD5GYmBilpqbq9ddf1yWXXCI/Pz/rHyinsmOuJ8fw1ltvacGCBercubMuuugij2RRVU888YT279+vPn36qEWLFjp8+LCef/55j3v5JCQk6M0339T111+vhx9+WB06dFBZWZn27t2rVatWafLkyerWrZs1rrVr1+qdd95ReHi4AgMDq5UkUTeRT8gnJ5FP6l8+kaT+/furRYsWGjdunHJycjy+cir9cm+npk2b6v7779eMGTPk4+Oj5cuXlys0VNWXX36pBx98ULfddpvatGkjX19fffTRR/ryyy/16KOPSvrlj/gnn3xS06dP1/fff6+BAweqadOmOnDggPW+zpw5U5Ks9+zZZ5/VoEGD5OXlpQ4dOlh/kOLCRO4h95xE7ql/uaeyv2XuuOMOLV++XDfccIMeeughXX311fLx8dH+/fv18ccfa+jQobr55psr7LNB5Jbz/IAHnMHJp8yc3Hx9fU1oaKiJi4szs2bNqvCRv6c+tWfDhg3m5ptvNlFRUcbpdJqQkBATFxdn3n77bY/jVq9ebTp16mScTqeRZD3l8GR/Bw8ePOO5jPnlKTA33nijeeONN0z79u2Nr6+vadWqlZkzZ06543XKU3XOZM+ePUaSuf/++6t8TEXjrWguxhjzyiuvmG7dupmAgADj7+9vLr30UvO73/3ObN682YopKyszSUlJJjIy0vj6+poOHTqYd955x8TFxZWby9dff2369+9vgoKCTPPmzc2ECRPMe++9V+UnBI0fP77Cce7evdvcdddd5uKLLzY+Pj6mefPmpkePHubpp5+2Yp577jnTo0cP06xZM+Pr62tatmxpxo4da/bs2VOt96yoqMg88cQTpk2bNsbX19eEhISY3r17m/Xr13vEPPLIIyYqKsr4+PiY8PBw88ADD5i8vDyPvk7+bJyqovdu3rx5pnXr1sbLy8tIMosXL7b2ZWZmmhtvvNEEBwcbHx8fc/HFF5sbb7zR/P3vfzfGGLNw4cJyxxjzy2Omg4KCzE033WS17dmzx/Tv398EBgZaj24/0/tRlblW5wlBP/30k7n11ltNkyZNjMPhsH6nTj7ttKqPtX/33XfNoEGDzMUXX2x9Vtxwww3mk08+8YgrLCw0f/jDH0zbtm2Nr6+v9bj3hx9+2ONR9FlZWeaaa64xjRo1qvbvKuoe8okn8skvyCf1K5+c9NhjjxlJJjIy0pSWlpbbv379ehMbG2saNWpkmjdvbu6++27z+eefl5trVZ52euDAATNmzBhzxRVXmICAANO4cWPToUMHM3fuXHPixAmP2JUrV5pevXqZoKAg43Q6TVRUlLn11lvN6tWrrZji4mJz9913m+bNm1s5sTpPg0TdQu7xRO75BbmnfuWeyv6WMcaY48ePmz//+c+mY8eOxs/PzzRu3NhcccUV5r777jPffPNNpX02hNziMOYMj5sBalFycrImTpyo7du3q3379rU9HA8n71VR15+qAgAgnwAAzj9yD4CT+Nop6qStW7dq9+7devLJJzV06NA6l6wAABcG8gkA4Hwj9wA4FcU31Ek333yzcnJydN111+kvf/lLuf1lZWUqKys7bR/e3vx4/9qJEydOu/+iiy467WO5AeBCRD6peeQTADg9ck/NI/fgQsfXTnFBSkxMtG6mWJndu3ef9U1X65s9e/ZYj/GuzIwZM5SYmHh+BgQAdQT5pHrIJwBw7sg91UPuQX1A8Q0XpP/85z/6z3/+c9qYWn+aSR1SUlJS7rHhp4qIiFBERMR5GhEA1A3kk+ohnwDAuSP3VA+5B/UBxTcAAAAAsMmCBQu0YMEC7dmzR5LUvn17PfHEExo0aJAkacyYMVq6dKnHMd26ddPGjRut18XFxZoyZYpee+01FRUVqU+fPnrxxRfVokWL8zYPAMDZ40vRAAAAAGCTFi1a6I9//KM2b96szZs3q3fv3ho6dKh27NhhxQwcOFDZ2dnW9v7773v0kZCQoLS0NKWmpmrdunUqLCxUfHy8SktLz/d0AABngSvfqqisrEz/+c9/FBgYKIfDUdvDAYALnjFGR44cUUREBDfIFXkGAGpaXc4zwcHB+tOf/qSxY8dqzJgxOnz4sFauXFlhbH5+vpo3b65XX31Vt99+u6RfvrYYGRmp999/XwMGDKjwuOLiYhUXF1uvy8rK9NNPPykkJIQ8AwA1oDp5hkeoVNHJBAcAqFn79u3jazMizwCAXepSniktLdXf//53HT16VLGxsVb72rVrFRoaqiZNmiguLk7PPPOMQkNDJUlbtmzR8ePH1b9/fys+IiJC0dHRWr9+faXFt6SkpDPe1B8AcO6qkmcovlVRYGCgpF/e1KCgoFoeDQBc+AoKChQZGWl9vjZ05BkAqFl1Kc9s27ZNsbGxOnbsmBo3bqy0tDRdeeWVkqRBgwbptttuU1RUlHbv3q3HH39cvXv31pYtW+R0OpWTkyNfX181bdrUo8+wsDDl5ORUes5p06Zp0qRJ1uv8/Hy1bNmSPAMANaQ6eYbiWxWdvDQ7KCiIZAUANYivvvyCPAMA9qgLeaZt27bKysrS4cOH9eabb2r06NHKzMzUlVdeaX2VVJKio6PVpUsXRUVF6b333tOwYcMq7dMYc9q5OZ1OOZ3Ocu3kGQCoWVXJM3Xr5gcAAAAAUM/4+vrqsssuU5cuXZSUlKSOHTvq+eefrzA2PDxcUVFR+uabbyRJbrdbJSUlysvL84jLzc1VWFiY7WMHAJw7im8AAAAAcB4ZYzwehvBrhw4d0r59+xQeHi5J6ty5s3x8fJSRkWHFZGdna/v27erRo8d5GS8A4NzwtVMAAAAAsMljjz2mQYMGKTIyUkeOHFFqaqrWrl2r9PR0FRYWKjExUbfccovCw8O1Z88ePfbYY2rWrJluvvlmSZLL5dLYsWM1efJkhYSEKDg4WFOmTFFMTIz69u1by7MDAFQFxTcAAAA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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distributions of y_requires_context\n",
    "fig, axs = plt.subplots(1,3, figsize = (15,5))\n",
    "for i, split in enumerate(['tr', 'val', 'te']):\n",
    "    df_copy = split_sets(split).copy()\n",
    "    df_copy['y_requires_context'].replace({np.nan : 'no value'}, inplace=True)\n",
    "    sns.countplot(data = df_copy, x = 'y_requires_context', ax=axs[i])\n",
    "    axs[i].set_title(f'Distrib. y_requires_context of {str(split)} set')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distributions of confidence averaged\n",
    "def add_mean_confidence(df):\n",
    "    df['confidence_mean'] = np.zeros(len(df))\n",
    "    for idx, pair in enumerate(df['confidence']):\n",
    "        df['confidence_mean'].iloc[idx] = np.array(re.findall(r'\\d+', pair)).astype(float).mean()\n",
    "    return df\n",
    "\n",
    "fig, axs = plt.subplots(1,3, figsize = (15,5))\n",
    "for i, split in enumerate(['tr', 'val', 'te']):\n",
    "    df_copy = split_sets(split).copy()\n",
    "    df_copy = add_mean_confidence(df_copy)\n",
    "    sns.countplot(data = df_copy, x = 'confidence_mean', ax=axs[i])\n",
    "    #sns.histplot(data = df_copy, x = 'confidence_mean', ax=axs[i])\n",
    "    axs[i].set_title(f'Distrib. mean confidence of {str(split)} set')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def add_diff_confidence(df):\n",
    "    idx_single_conf = []\n",
    "    df['diff_confidence'] = np.zeros(len(df))\n",
    "    for idx, pair in enumerate(df[\"confidence\"]):\n",
    "        pair = np.array(re.findall(r'\\d+', pair)).astype(float)\n",
    "        if len(pair) == 1:\n",
    "            diff = 0  \n",
    "            idx_single_conf.append(idx)\n",
    "        else :\n",
    "            diff = np.abs(pair[0] - pair[1])\n",
    "        df['diff_confidence'].iloc[idx] = diff\n",
    "    return df, idx_single_conf\n",
    "\n",
    "fig, axs = plt.subplots(1,3, figsize = (15,5))\n",
    "idx_single_conf = [0,0,0]\n",
    "for i, split in enumerate(['tr', 'val', 'te']):\n",
    "    df_copy = split_sets(split).copy()\n",
    "    df_copy, idx_single_conf[i] = add_diff_confidence(df_copy)\n",
    "    sns.countplot(data = df_copy, x = 'diff_confidence', ax=axs[i])\n",
    "    axs[i].set_title(f'Distrib. diff. confidence of {str(split)} set')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 61 values with only 1 single confidence, which is 1.001 % of the tr dataset.\n",
      "There are 6 values with only 1 single confidence, which is 1.77 % of the val dataset.\n",
      "There are 1 values with only 1 single confidence, which is 0.295 % of the te dataset.\n"
     ]
    }
   ],
   "source": [
    "for i, split in enumerate(['tr', 'val', 'te']):\n",
    "    perc = 100*len(idx_single_conf[i])/len(split_sets(split))\n",
    "    print(f'There are {len(idx_single_conf[i])} values with only 1 single confidence, which is {np.round(perc, 3)} % of the {split} dataset.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory analysis of the diaries dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 950 reviews for the diaries of 238 persons concerning 17 subjects.\n",
      "There are 0 lines with a NaN value.\n"
     ]
    },
    {
     "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>id</th>\n",
       "      <th>person_id</th>\n",
       "      <th>subject</th>\n",
       "      <th>ordering</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "      <th>Q5</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>diary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Zatím jsem absolvovala náslechové hodiny v hod...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Jsem ráda, že jsem si vybrala školu, kterou na...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Praxe už mám skoro za sebou. Je tolik věcí, na...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>První úkol a co napsat. Sedím pátý den na prax...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>český jazyk</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Čtrnáct dní uteklo jako voda a já sedím a přem...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  person_id      subject  ordering  Q1  Q2  Q3  Q4  Q5  Q6  Q7  \\\n",
       "0   0          1  český jazyk         1   1   1   1   1   1   1   1   \n",
       "1   1          1  český jazyk         2   1   1   1   1   1   1   1   \n",
       "2   2          1  český jazyk         3   1   1   1   1   1   1   1   \n",
       "3   3          2  český jazyk         1   1   1   2   2   1   2   1   \n",
       "4   4          2  český jazyk         2   1   1   2   2   1   2   1   \n",
       "\n",
       "                                               diary  \n",
       "0  Zatím jsem absolvovala náslechové hodiny v hod...  \n",
       "1  Jsem ráda, že jsem si vybrala školu, kterou na...  \n",
       "2  Praxe už mám skoro za sebou. Je tolik věcí, na...  \n",
       "3  První úkol a co napsat. Sedím pátý den na prax...  \n",
       "4  Čtrnáct dní uteklo jako voda a já sedím a přem...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(f'There are {len(diaries)} reviews for the diaries of {len(diaries[\"person_id\"].unique())} persons concerning {len(diaries[\"subject\"].unique())} subjects.')\n",
    "\n",
    "# check if their is NaN values\n",
    "print(f'There are {len(diaries) - len(diaries.dropna())} lines with a NaN value.')\n",
    "\n",
    "diaries.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean = 474.325\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot([len(str(sentence).split()) for sentence in diaries['diary']], kde = True)\n",
    "print(f'mean = {np.mean([len(str(sentence).split()) for sentence in diaries[\"diary\"]]).round(3)}')\n",
    "plt.vlines(np.mean([len(str(sentence).split()) for sentence in diaries['diary']]).round(3), ymin = 0, ymax = 110, color = 'r', label = 'mean')\n",
    "plt.title(f'Distrib. # words in reviewed sentences in the diaries')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(diaries.groupby('person_id').apply(lambda x : len(x)), bins = 50)\n",
    "plt.xlabel('Number of reviews')\n",
    "plt.ylabel('Number of person')\n",
    "plt.title('Number of reviews per person')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_subject = pd.DataFrame(index = diaries['subject'].unique(), columns = ['number'])\n",
    "df_subject['number'] = diaries.groupby('subject').apply(lambda x : len(x))\n",
    "df_subject.reset_index(inplace=True)\n",
    "\n",
    "sns.barplot(data = df_subject, x = 'index', y = 'number')\n",
    "plt.xlabel('subject')\n",
    "plt.ylabel('number of reviews')\n",
    "plt.xticks(rotation = 90)\n",
    "plt.title(\"Number of reviews per subject\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml",
   "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": "3.9.18"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}