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
[このノートブックをフォークする][3]と、BQhelperモジュールを使ってSQLクエリを書くことで、BigQueryデータセット内のデータにアクセスを開始できます。
## コンテキスト
世界銀行による世界開発指標（WDI）には、1960年から2016年までの最大56年にわたるデータが含まれています。WDIは、人口、人口密度、都市化、国民総所得（GNI）、国内総生産（GDP）などの指標を用いて、世界的な傾向を捉えています。これらの指標は、世界の経済や、生活の向上、持続可能な開発の達成、脆弱な人口への支援、男女格差の是正に向けた進捗状況を測定します。
## 内容
世界開発指標データは、公式に認められた国際的な情報源から収集された、世界銀行の主要な開発指標のコレクションです。このデータは、利用可能な最新かつ最正確な世界開発データを提示しており、国別、地域別、世界全体の見積もりを含んでいます。
## 謝辞
世界銀行による「世界開発指標」は、CC BY 3.0 IGOの下で使用されています。
データの出所: https://bigquery.cloud.google.com/dataset/patents-public-data:worldbank_wdi
バナー写真は[Joshua Rawson - Harris][1]による[Unsplash][2]のものです。
[1]: https://unsplash.com/photos/KRELIShKxTM
[2]: https://unsplash.com/
[3]: https://www.kaggle.com/jessicali9530/how-to-query-world-development-indicators-data
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
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