notebooks/Dataset Statistics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset Statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check dataset existence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "230 files exist.\n"
     ]
    }
   ],
   "source": [
    "# check data existence\n",
    "from pathlib import Path\n",
    "\n",
    "\n",
    "data_folder = Path.cwd().parent.joinpath(\"data/processed\")\n",
    "\n",
    "def check_data_existence(folder):\n",
    "    file_count = len(list(folder.glob(\"e*_ann.json\")))\n",
    "    if  file_count == 0:\n",
    "        raise Exception(\"Processed Data does not exist.\")\n",
    "    else:\n",
    "        print(\"{} files exist.\".format(file_count))\n",
    "\n",
    "\n",
    "check_data_existence(data_folder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read data to DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "\n",
    "\n",
    "companies = []\n",
    "sentences = []\n",
    "entities = []\n",
    "\n",
    "\n",
    "for f in data_folder.glob(\"e*_ann.json\"):\n",
    "    with f.open(encoding=\"utf-8\") as j:\n",
    "        d = json.load(j)\n",
    "        \n",
    "        # company infos\n",
    "        company_info = d[\"header\"]\n",
    "        companies.append(company_info)\n",
    "        \n",
    "        # sentences\n",
    "        company_code = company_info[\"document_id\"]\n",
    "        for s in d[\"sentences\"]:\n",
    "            line = {\n",
    "                \"company\": company_code,\n",
    "                \"sentence\": s[\"sentence\"],\n",
    "                \"entities\": len(s[\"opinions\"])\n",
    "            }\n",
    "            sentences.append(line)\n",
    "\n",
    "            # entities\n",
    "            for o in s[\"opinions\"]:\n",
    "                entities.append(o)\n",
    "\n",
    "\n",
    "companies = pd.DataFrame(companies)\n",
    "sentences = pd.DataFrame(sentences)\n",
    "entities = pd.DataFrame(entities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>category17</th>\n",
       "      <th>category33</th>\n",
       "      <th>doc_text</th>\n",
       "      <th>document_id</th>\n",
       "      <th>document_name</th>\n",
       "      <th>edi_id</th>\n",
       "      <th>scale</th>\n",
       "      <th>security_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>電機・精密</td>\n",
       "      <td>精密機器</td>\n",
       "      <td>有価証券報告書</td>\n",
       "      <td>E01183</td>\n",
       "      <td>株式会社松風</td>\n",
       "      <td>E01183</td>\n",
       "      <td>7</td>\n",
       "      <td>79790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>商社・卸売</td>\n",
       "      <td>卸売業</td>\n",
       "      <td>有価証券報告書</td>\n",
       "      <td>E02682</td>\n",
       "      <td>カメイ株式会社</td>\n",
       "      <td>E02682</td>\n",
       "      <td>7</td>\n",
       "      <td>80370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>医薬品</td>\n",
       "      <td>医薬品</td>\n",
       "      <td>有価証券報告書</td>\n",
       "      <td>E01018</td>\n",
       "      <td>株式会社ツムラ</td>\n",
       "      <td>E01018</td>\n",
       "      <td>4</td>\n",
       "      <td>45400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>鉄鋼・非鉄</td>\n",
       "      <td>非鉄金属</td>\n",
       "      <td>有価証券報告書</td>\n",
       "      <td>E00024</td>\n",
       "      <td>三井金属鉱業株式会社</td>\n",
       "      <td>E00024</td>\n",
       "      <td>4</td>\n",
       "      <td>57060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>小売</td>\n",
       "      <td>小売業</td>\n",
       "      <td>有価証券報告書</td>\n",
       "      <td>E23818</td>\n",
       "      <td>チムニー株式会社</td>\n",
       "      <td>E23818</td>\n",
       "      <td>7</td>\n",
       "      <td>31780</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  category17 category33 doc_text document_id document_name  edi_id scale  \\\n",
       "0      電機・精密       精密機器  有価証券報告書      E01183        株式会社松風  E01183     7   \n",
       "1      商社・卸売        卸売業  有価証券報告書      E02682       カメイ株式会社  E02682     7   \n",
       "2        医薬品        医薬品  有価証券報告書      E01018       株式会社ツムラ  E01018     4   \n",
       "3      鉄鋼・非鉄       非鉄金属  有価証券報告書      E00024    三井金属鉱業株式会社  E00024     4   \n",
       "4         小売        小売業  有価証券報告書      E23818      チムニー株式会社  E23818     7   \n",
       "\n",
       "  security_code  \n",
       "0         79790  \n",
       "1         80370  \n",
       "2         45400  \n",
       "3         57060  \n",
       "4         31780  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>company</th>\n",
       "      <th>entities</th>\n",
       "      <th>sentence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>E01183</td>\n",
       "      <td>2</td>\n",
       "      <td>当連結会計年度の世界経済は、米国を中心に景気は概ね堅調に推移しましたが、英国のEU離脱問題に...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E01183</td>\n",
       "      <td>4</td>\n",
       "      <td>国内経済については、企業収益や雇用・所得環境に底堅さが見られるなど、総じて緩やかな回復基調を...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>E01183</td>\n",
       "      <td>2</td>\n",
       "      <td>当歯科業界におきましては、デジタル化の進展により市場環境は大きく変化しており、世界規模で企業...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>E01183</td>\n",
       "      <td>0</td>\n",
       "      <td>このような状況の中、当社グループは第二次中期経営計画の２年目を迎え、海外事業の拡大と国内事業...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E01183</td>\n",
       "      <td>0</td>\n",
       "      <td>海外市場において売上拡大を図るため、ブラジル・サンパウロに販売子会社を設立するとともに、イン...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  company  entities                                           sentence\n",
       "0  E01183         2  当連結会計年度の世界経済は、米国を中心に景気は概ね堅調に推移しましたが、英国のEU離脱問題に...\n",
       "1  E01183         4  国内経済については、企業収益や雇用・所得環境に底堅さが見られるなど、総じて緩やかな回復基調を...\n",
       "2  E01183         2  当歯科業界におきましては、デジタル化の進展により市場環境は大きく変化しており、世界規模で企業...\n",
       "3  E01183         0  このような状況の中、当社グループは第二次中期経営計画の２年目を迎え、海外事業の拡大と国内事業...\n",
       "4  E01183         0  海外市場において売上拡大を図るため、ブラジル・サンパウロに販売子会社を設立するとともに、イン..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentences.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>category</th>\n",
       "      <th>from</th>\n",
       "      <th>polarity</th>\n",
       "      <th>target</th>\n",
       "      <th>to</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>OOD#general</td>\n",
       "      <td>20</td>\n",
       "      <td>positive</td>\n",
       "      <td>景気</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>OOD#general</td>\n",
       "      <td>95</td>\n",
       "      <td>neutral</td>\n",
       "      <td>先行き</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OOD#general</td>\n",
       "      <td>0</td>\n",
       "      <td>positive</td>\n",
       "      <td>国内経済</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>OOD#general</td>\n",
       "      <td>10</td>\n",
       "      <td>positive</td>\n",
       "      <td>企業収益</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>OOD#general</td>\n",
       "      <td>15</td>\n",
       "      <td>positive</td>\n",
       "      <td>雇用</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      category  from  polarity target  to\n",
       "0  OOD#general    20  positive     景気  22\n",
       "1  OOD#general    95   neutral    先行き  98\n",
       "2  OOD#general     0  positive   国内経済   4\n",
       "3  OOD#general    10  positive   企業収益  14\n",
       "4  OOD#general    15  positive     雇用  17"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entities.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Show Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "translation = \"\"\"\n",
    "水産・農林業\tFishery, Agriculture & Forestry\n",
    "鉱業\tMining\n",
    "建設業\tConstruction\n",
    "食料品\tFoods\n",
    "繊維製品\tTextiles and Apparels\n",
    "パルプ・紙\tPulp and Paper\n",
    "化学\tChemicals\n",
    "医薬品\tPharmaceutical\n",
    "石油・石炭製品\tOil and Coal Products\n",
    "ゴム製品\tRubber Products\n",
    "ガラス・土石製品\tGlass and Ceramics Products\n",
    "鉄鋼\tIron and Steel\n",
    "非鉄金属\tNonferrous Metals\n",
    "金属製品\tMetal Products\n",
    "機械\tMachinery\n",
    "電気機器\tElectric Appliances\n",
    "輸送用機器\tTransportation Equipment\n",
    "精密機器\tPrecision Instruments\n",
    "その他製品\tOther Products\n",
    "電気・ガス業\tElectric Power and Gas\n",
    "陸運業\tLand Transportation\n",
    "海運業\tMarine Transportation\n",
    "空運業\tAir Transportation\n",
    "倉庫・運輸関連業\tWarehousing and Harbor Transportation\n",
    "情報・通信業\tInformation & Communication\n",
    "卸売業\tWholesale Trade\n",
    "小売業\tRetail Trade\n",
    "銀行業\tBanks\n",
    "証券、商品先物取引業\tSecurities and Commodities Futures\n",
    "保険業\tInsurance\n",
    "その他金融業\tOther Financing Business\n",
    "不動産業\tReal Estate\n",
    "サービス業\tServices\n",
    "\"\"\"\n",
    "\n",
    "translation_list = [t.split(\"\\t\") for t in translation.split(\"\\n\") if t]\n",
    "translation_list = dict(translation_list )\n",
    "companies[\"category33_en\"]  = companies[\"category33\"].apply(lambda c: translation_list[c]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110d64e80>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110d644e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "companies.groupby([\"category33\"]).count()[\"edi_id\"].sort_values(ascending=False).plot(kind=\"bar\", figsize=(15,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1084c5f28>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1081c7630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "companies.groupby([\"category33_en\"]).count()[\"edi_id\"].sort_values(ascending=False).plot(kind=\"bar\", figsize=(15,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Label distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7723 entities are annotated.\n"
     ]
    }
   ],
   "source": [
    "print(\"{} entities are annotated.\".format(len(entities)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11432fac8>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113e12940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "entities.groupby([\"category\"]).count()[\"target\"].sort_values(ascending=False).plot(kind=\"bar\")\n",
    "(entities.groupby([\"category\"]).count()[\"target\"].sort_values(ascending=False).cumsum() * 100 / len(entities)).plot.line(secondary_y=True, style=\"g\", rot=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1128f5be0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e7dc588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "entities.groupby([\"polarity\"]).count()[\"target\"].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113b79780>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113b27320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "entities.groupby([\"polarity\", \"category\"]).count()[\"target\"].divide(entities.groupby([\"category\"]).count()[\"target\"]).unstack(\"polarity\").plot.bar(stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sentence distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The sentences that have entities are 3215.\n",
      "The number of sentences are 6119.\n"
     ]
    }
   ],
   "source": [
    "print(\"The sentences that have entities are {}.\".format(len(sentences[sentences[\"entities\"] > 0])))\n",
    "print(\"The number of sentences are {}.\".format(len(sentences)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113db2ef0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11383c048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentences[sentences[\"entities\"] > 0].groupby([\"entities\"]).count()[\"company\"].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}