stocks.ipynb

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    "import json\n",
    "\"\"\"\n",
    "2 種類の形式のスクレイピングした Web 上のデータを処理してみましょう\n",
    "\n",
    "stocks.json\n",
    "[\n",
    "    ['13010', '極洋', 'プライム', '水産・農林業', '3月'],  # [証券コード, 銘柄名,  市場区分, 業種, 決算期]\n",
    "    ...\n",
    "]\n",
    "\n",
    "stocks2.json\n",
    "[\n",
    "    {\n",
    "        'code': '13010',\n",
    "        'name': '極洋',\n",
    "        'market_division': 'プライム',\n",
    "        'industrial_sector': '水産・農林業',\n",
    "        'fiscal_year_end': '3月'\n",
    "     },\n",
    "    ...\n",
    "]\n",
    "\"\"\"\n",
    "with open(\"stocks.json\", \"r\") as f:\n",
    "    data1 = json.load(f)\n",
    "with open(\"stocks2.json\", \"r\") as f:\n",
    "    data2 = json.load(f)"
   ]
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   "cell_type": "markdown",
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   "source": [
    "1. それぞれのデータから **銘柄数**, **市場区分の一覧 (list)**, **業種の一覧(list)** を求めてみましょう\n",
    "2. 決算期別業種ランキング上位 3 位を求めてみましょう\n",
    "   * 単純合計数\n",
    "   * 業種内割合\n",
    "   * フォーマット\n",
    "       ```python\n",
    "       '{N}月 {RANK} 位:\\t{業種} ({数})'\n",
    "       ```"
   ]
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