Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
# 背景
私は`pandas data reader`を使ってこれらのすべての.csvファイルを取得しましたが、`pandas data reader`を通じてすべての個別の韓国株式（コスピ）データを取得するのは面倒です。そのため、これらのファイルを共有することにしました。
# 内容
### ファイル
kospi.csvにはコスピの平均価格が含まれています。これを使って韓国株式市場が休日かどうかを確認することができます。
xxxxxx.csvには各銘柄の個別の価格記録が含まれています。xxxxxxはその銘柄の固有のティッカーです。
### 列
#### 日付
形式 - \d{4}-\d{2}-\d{2}
#### 始値
形式 - \d{1,}\.\d{1}
#### 高値
形式 - \d{1,}\.\d{1}
#### 安値
形式 - \d{1,}\.\d{1}
#### 終値
形式 - \d{1,}\.\d{1}
#### 調整後終値
形式 - \d{1,}\.\d{1}
#### 出来高
形式 - \d+
# 謝辞
[ブログ記事](https://gomjellie.github.io/%ED%8C%8C%EC%9D%B4%EC%8D%AC/pandas/%EC%A3%BC%EC%8B%9D/2017/06/09/pandas-datareader-stock.html) この記事にはこれらのデータを取得した方法が記載されています。csvファイルを更新する際にこの記事が必要になるかもしれません。
[Gitリポジトリ](https://github.com/gomjellie/kospi-kosdaq-csv) Gitリポジトリ
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