もともと集計済みのデータセット（Google 広告や Google アナリティクス）からデータを抽出した場合、集計されていないデータセットが新たに作成されます。このため、抽出済みデータソースでは、通常のデータソースよりも柔軟に独自の集計を行うことができます。たとえば、通常の Google アナリティクスのデータソースでは、「ユーザー数」指標の集計方法は「自動」になっており、変更できません。抽出された Google アナリティクスのデータソースの場合、利用可能な集計方法はすべて適用できます。このため、通常の（あらかじめ集計されている）データソースを使ったレポートよりも、幅広いデータ解釈が可能になります。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-09-04 UTC。"],[],[],null,["# Extract data for faster performance\n\nData extract lets you explore a subset of your data. This can make your reports and explorations load faster and be more responsive when applying filters and date ranges than when working with a live connection to your data.\n\nHow extracting data works\n-------------------------\n\nWhen you extract data, you select an existing data source of any type, then select the specific fields you want to include in the *extracted data source*. You can apply filters and date ranges to reduce the amount of data even further. You can then use the extracted data source in your reports and explorations, just as you would a standard, live connection data source.\n\n### Extracted data and aggregation\n\nExtracting data from an already aggregated dataset, such as Google Ads or Analytics, creates a new, disaggregated dataset. This makes performing your own aggregation in extracted data sources more flexible than standard data sources. For example, in a standard Analytics data source, the *Users* metric is set to Auto aggregation, meaning you can't change it. In an extracted Analytics data source, you are free to apply any of the available aggregation types. This can help you explore different interpretations of your data than is possible in reports using a standard (already aggregated) data source.\n\nCreate an extracted data source\n-------------------------------\n\n1. [Sign in to Looker Studio.](https://lookerstudio.google.com)\n2. On the Looker Studio home page, in the top left, click **Create** , and then select **Data Source**.\n3. In the connectors list, select **Extract Data.**\n4. Select an existing data source to extract from.\n5. Select the dimensions and metrics to extract by dragging them from the Available Fields list onto the targets, or by clicking **Add**. All the fields you add appear in the list on the far right.\n6. (Optional) If the data is unaggregated, consider applying an aggregation, such as `Sum`, or `Average`, to reduce the amount of data extracted.\n7. (Optional) Apply filters to the data in order to reduce the number of rows.\n8. Apply a date range. Date ranges are required by some connectors, such as Analytics, but are optional for other connector types.\n9. Give your data source a name by clicking **Untitled Data Source** in the upper left.\n10. (Optional) To automatically refresh your data, in the lower right, turn on **Auto update** and set an update schedule.\n11. In the lower right, click **SAVE AND EXTRACT**.\n\nYou can now add this data source to a report or exploration by clicking one of the buttons in the upper right.\n\nUpdate extracted data\n---------------------\n\nTo update the information contained in a data extract, turn on \"Auto update\" or edit the data source connection and extract the data again:\n\n1. [Sign in to Looker Studio.](https://lookerstudio.google.com)\n\n2. Navigate to the [DATA SOURCES Home](https://lookerstudio.google.com/navigation/datasources) page.\n\n3. Locate the extracted data source.\n\n4. Click the data source to edit it.\n\n5. In the upper left, click **EDIT CONNECTION**. You must be the data source owner to see this option.\n\n6. (Optional) To automatically refresh your data, in the lower right, turn on **Auto update** and set an update schedule.\n\n7. In the lower right, click **SAVE AND EXTRACT**.\n\nDelete your extracted data\n--------------------------\n\nDeleting an extracted data source also deletes its data from Google servers.\n\nLimits of data extract\n----------------------\n\n- Extracted data sources can contain up to 100 MB of data. If your extract contains more than 100 MB of data, Looker Studio will fail to extract and will display an error message.\n- Extracted data sources contain static information: to refresh or update the data, turn on Auto update and set an update schedule."]]
[作成] をクリックして、[データソース] を選択します。