analyzer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ceneo Analyzer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Biblioteki"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lista kodów produktów o kórych zostały pobrane opinie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "114700014\n",
      "39562616\n"
     ]
    }
   ],
   "source": [
    "print(*[filename.split(\".\")[0] for filename in os.listdir(\"opinions\")], sep=\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Kod produku, którego opinie mają zostać przeanalizowane"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "product_id = input(\"Proszę podać kod produktu z serwisu Ceneo.pl: \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wczytanie do obiektu pandas.DataFrame opinii o wskazanym produkcie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "opinions = pd.read_json(f\"opinions/{product_id}.json\")\n",
    "opinions.rating = opinions.rating.apply(lambda r: r.split(\"/\")[0].replace(\",\",\".\"), ).astype(float)\n",
    "opinions.recommendation = opinions.recommendation.apply(lambda r: \"Brak rekomendacji\" if r is None else r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>opinion_id</th>\n",
       "      <th>author</th>\n",
       "      <th>recommendation</th>\n",
       "      <th>rating</th>\n",
       "      <th>content</th>\n",
       "      <th>pros</th>\n",
       "      <th>cons</th>\n",
       "      <th>useful</th>\n",
       "      <th>useless</th>\n",
       "      <th>post_date</th>\n",
       "      <th>purchase_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3422858</td>\n",
       "      <td>Użytkownik Ceneo</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>5.0</td>\n",
       "      <td>UWAGA, UWAGA do wszystkich zgłaszających probl...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>57</td>\n",
       "      <td>7</td>\n",
       "      <td>2015-11-17 17:55:59</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3529254</td>\n",
       "      <td>Marcin</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>4.5</td>\n",
       "      <td>Ogólnie spoko, chociaż telefon po wyjęciu z pu...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[przycisk home - trzeba mocno naciskać]</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-01-13 00:44:40</td>\n",
       "      <td>2015-12-27 14:12:05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6706897</td>\n",
       "      <td>zedi</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Wady Słaby dźwięk z głośnika głównego - z tyłu...</td>\n",
       "      <td>[ekran nie do zbicia, wyświetlacza:  design:  ...</td>\n",
       "      <td>[bateria lądująca w godzine 100%, czas pracy n...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2018-03-14 00:45:39</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3580458</td>\n",
       "      <td>Janek</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Smartphone szybki i stabilny. Super ekran doty...</td>\n",
       "      <td>[wyświetlacza:  design:  żywotność]</td>\n",
       "      <td>[]</td>\n",
       "      <td>37</td>\n",
       "      <td>16</td>\n",
       "      <td>2016-02-12 11:13:47</td>\n",
       "      <td>2016-01-25 12:30:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3287614</td>\n",
       "      <td>maciej</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Generalnie bardzo dobry smartfon, moim zdaniem...</td>\n",
       "      <td>[funkcjonalność]</td>\n",
       "      <td>[]</td>\n",
       "      <td>35</td>\n",
       "      <td>14</td>\n",
       "      <td>2015-08-21 14:25:23</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>3502307</td>\n",
       "      <td>Użytkownik Ceneo</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5,0/5</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-12-29 18:45:09</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>3455136</td>\n",
       "      <td>Użytkownik Ceneo</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5,0/5</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-12-04 22:52:58</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>3442558</td>\n",
       "      <td>Użytkownik Ceneo</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5,0/5</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-11-27 13:16:18</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>3430751</td>\n",
       "      <td>Użytkownik Ceneo</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5,0/5</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-11-21 13:41:11</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>3430195</td>\n",
       "      <td>Użytkownik Ceneo</td>\n",
       "      <td>Polecam</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5,0/5</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-11-21 01:09:18</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>132 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     opinion_id            author recommendation  rating  \\\n",
       "0       3422858  Użytkownik Ceneo        Polecam     5.0   \n",
       "1       3529254            Marcin        Polecam     4.5   \n",
       "2       6706897              zedi        Polecam     4.0   \n",
       "3       3580458             Janek        Polecam     5.0   \n",
       "4       3287614            maciej        Polecam     4.0   \n",
       "..          ...               ...            ...     ...   \n",
       "127     3502307  Użytkownik Ceneo        Polecam     5.0   \n",
       "128     3455136  Użytkownik Ceneo        Polecam     5.0   \n",
       "129     3442558  Użytkownik Ceneo        Polecam     5.0   \n",
       "130     3430751  Użytkownik Ceneo        Polecam     5.0   \n",
       "131     3430195  Użytkownik Ceneo        Polecam     5.0   \n",
       "\n",
       "                                               content  \\\n",
       "0    UWAGA, UWAGA do wszystkich zgłaszających probl...   \n",
       "1    Ogólnie spoko, chociaż telefon po wyjęciu z pu...   \n",
       "2    Wady Słaby dźwięk z głośnika głównego - z tyłu...   \n",
       "3    Smartphone szybki i stabilny. Super ekran doty...   \n",
       "4    Generalnie bardzo dobry smartfon, moim zdaniem...   \n",
       "..                                                 ...   \n",
       "127                                              5,0/5   \n",
       "128                                              5,0/5   \n",
       "129                                              5,0/5   \n",
       "130                                              5,0/5   \n",
       "131                                              5,0/5   \n",
       "\n",
       "                                                  pros  \\\n",
       "0                                                   []   \n",
       "1                                                   []   \n",
       "2    [ekran nie do zbicia, wyświetlacza:  design:  ...   \n",
       "3                  [wyświetlacza:  design:  żywotność]   \n",
       "4                                     [funkcjonalność]   \n",
       "..                                                 ...   \n",
       "127                                                 []   \n",
       "128                                                 []   \n",
       "129                                                 []   \n",
       "130                                                 []   \n",
       "131                                                 []   \n",
       "\n",
       "                                                  cons  useful  useless  \\\n",
       "0                                                   []      57        7   \n",
       "1              [przycisk home - trzeba mocno naciskać]       3        0   \n",
       "2    [bateria lądująca w godzine 100%, czas pracy n...       0        2   \n",
       "3                                                   []      37       16   \n",
       "4                                                   []      35       14   \n",
       "..                                                 ...     ...      ...   \n",
       "127                                                 []       0        0   \n",
       "128                                                 []       0        0   \n",
       "129                                                 []       0        0   \n",
       "130                                                 []       0        0   \n",
       "131                                                 []       0        0   \n",
       "\n",
       "               post_date        purchase_date  \n",
       "0    2015-11-17 17:55:59                 None  \n",
       "1    2016-01-13 00:44:40  2015-12-27 14:12:05  \n",
       "2    2018-03-14 00:45:39                 None  \n",
       "3    2016-02-12 11:13:47  2016-01-25 12:30:40  \n",
       "4    2015-08-21 14:25:23                 None  \n",
       "..                   ...                  ...  \n",
       "127  2015-12-29 18:45:09                 None  \n",
       "128  2015-12-04 22:52:58                 None  \n",
       "129  2015-11-27 13:16:18                 None  \n",
       "130  2015-11-21 13:41:11                 None  \n",
       "131  2015-11-21 01:09:18                 None  \n",
       "\n",
       "[132 rows x 11 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opinions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Podstawowe statystyki zbioru opinii"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "opinions_count = opinions.shape[0]\n",
    "pros_count = opinions.pros.apply(lambda p: 1 if p else 0).sum()\n",
    "cons_count = opinions.cons.apply(lambda c: 1 if c else 0).sum()\n",
    "average_rating = opinions.rating.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram częstości poszczególnych ocen produktu "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rating\n",
       "0.0     0\n",
       "0.5     3\n",
       "1.0     1\n",
       "1.5     2\n",
       "2.0     1\n",
       "2.5     0\n",
       "3.0     5\n",
       "3.5     3\n",
       "4.0    19\n",
       "4.5    19\n",
       "5.0    79\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_distribution = opinions.rating.value_counts().reindex(np.arange(0,5.5,0.5), fill_value = 0)\n",
    "rating_distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, '0'),\n",
       " Text(0, 0, '3'),\n",
       " Text(0, 0, '1'),\n",
       " Text(0, 0, '2'),\n",
       " Text(0, 0, '1'),\n",
       " Text(0, 0, '0'),\n",
       " Text(0, 0, '5'),\n",
       " Text(0, 0, '3'),\n",
       " Text(0, 0, '19'),\n",
       " Text(0, 0, '19'),\n",
       " Text(0, 0, '79')]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "rating_distribution.plot.bar(color = \"lightskyblue\")\n",
    "plt.title(\"Histogram częstości gwiazdek w opiniach\")\n",
    "plt.xlabel(\"Liczba gwiazdek\")\n",
    "plt.ylabel(\"Liczba opinii\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.bar_label(ax.containers[0], label_type='edge')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Udział poszczególnych rekomendacji w opiniach o produkcie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "recommendation\n",
       "Polecam              114\n",
       "Nie polecam            7\n",
       "Brak rekomendacji     11\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommendations_distribution = opinions.recommendation.value_counts().reindex([\"Polecam\", \"Nie polecam\", \"Brak rekomendacji\"])\n",
    "recommendations_distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Udział rekomendacji w opiniach')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recommendations_distribution.plot.pie(\n",
    "    colors = [\"hotpink\", \"deeppink\",  \"lavenderblush\"],\n",
    "    autopct = \"%1.1f%%\",\n",
    "    label = \"\"\n",
    ")\n",
    "plt.title(\"Udział rekomendacji w opiniach\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}