Looker Studio では、商品の比率を再計算する必要がある比率指標を含むグラフにフィルタを適用すると、上記のエラーが発生します。
この問題を理解する 3 つのポイント
Google アナリティクス、Google 広告、YouTube、Google マーケティング プラットフォームなどのデータセットからのデータは、Looker Studio に到達した時点で、すでに集計されています。たとえば、Looker Studio が CTR(クリック率)などの Google 広告指標をリクエストすると、データはすでに適切な集約タイプに処理されています。
[[["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 2025-09-03 UTC。"],[],[],null,["# What does the "Unable to aggregate ratio metrics" error mean?\n\nAt a glance\n-----------\n\nHave you seen this error message?\n\n`Unable to aggregate ratio metrics in the request. Please select another metric.`\n\nThis error means that you've asked Looker Studio to do something with an already [aggregated](/looker/docs/studio/aggregation) ratio metric that it can't do. For example, you've applied a filter based on a calculated field to a chart that contains a ratio metric.\n\nThe solution is to select a non-ratio field in the chart (for example, use **Impressions** instead of **CTR**), or remove or change the filter.\n\nIn depth\n--------\n\nRatio metrics show the relative sizes of two or more values. For example, the Google Ads metric, **Clickthrough rate** ([CTR](https://support.google.com/google-ads/answer/2615875)), is the number of clicks that your ad receives divided by the number of times your ad is shown. In Google Analytics, [**Engagement rate**](https://support.google.com/analytics/answer/12195621) is the percentage of engaged sessions on your website or mobile app, while [**Bounce rate**](https://support.google.com/analytics/answer/12195621) is the opposite of the engagement rate. The bounce rate is the percentage of sessions that were not engaged.\n\nIn Looker Studio, you get the prior error when you filter a chart that includes ratio metrics in a way that requires the product to recalculate the ratios.\n\n### Here are 3 things to help you understand this issue:\n\n1. Data from data sets such as Google Analytics, Google Ads, YouTube, and Google Marketing Platforms products is already aggregated by the time it gets to Looker Studio. For example, when Looker Studio requests a Google Ads metric such as **CTR** (click-through rate), the data is already processed into the appropriate aggregation type.\n\n2. Because of the previous point, calculated field functions are applied to your data post-aggregation. It's not possible (nor would it generally make sense) to go back into the raw data and look at every unique instance of that metric. For example, if you try to create a calculated field with the formula `SUM( `\u003cvar translate=\"no\"\u003eImpressions\u003c/var\u003e` )` in a Google Ads data source, you'll get the following error:\n\n `Re-aggregating metrics is not supported`.\n\n That's because **Impressions** is already aggregated (and its aggregation type, **Auto**, can't be changed).\n | **Note:** This isn't necessarily the case with data sources such as Google Sheets, MySQL, or BigQuery, where you are able to send non-aggregated data to Looker Studio. For example, if you had raw impression data in a Sheet, you could use functions like the SUM function to add it all up and the AVG function to generate the average.\n3. For consistency, all calculated field functions in Looker Studio are available for use with all data source types, even if the underlying system doesn't natively support that function. For example, you can use the CONCAT function to join multiple values in any data source, even if the underlying system doesn't have a CONCAT function of its own. Instead of \"pushing down\" the CONCAT function to the underlying system, Looker Studio requests the data and performs the concatenation itself.\n\nAggregation failure example\n---------------------------\n\nSo what does all that have to do with the `Unable to aggregate ratio metrics` error? This example goes a little deeper with the CONCAT example to help you find out.\n\nSuppose you create a calculated field called **Campaign : Click Type** in a Google Ads data source, using the following formula:\n\n`CONCAT(Campaign, \" : \", Click Type)`\n\nLooker Studio issues queries for **Campaign** and **Click Type** individually, and then performs the concatenation. The results are grouped, so there is no duplication of records.\n\nYou can now use that concatenated field in your charts, and the metrics you include are aggregated properly. For example, we could use **Campaign : Click Type** as the dimension and **CTR** as the ratio metric in a table:\n\nBut now, suppose you apply a filter to show only those records where the value of **Click Type** is `Headline`:\n\nThis will break the chart:\n\nWhy it breaks\n-------------\n\nThe filter asks Looker Studio to include each record returned by the **Campaign : Click Type** if it contains the string `Headline`. That field is a concatenation of two dimensions; to fulfill this request, Looker Studio has to refetch those dimensions, and then apply the filter. The problem is the presence in the table of the ratio metric, **CTR** . Google Ads ratio metrics are computed before Looker Studio requests them. Looker Studio has no way to access the raw data and recompute the new ratios for the records that contain only the string `Headline` in the concatenated field.\n\nThe solution\n------------\n\nThe solution in cases like this depends on the data you are trying to show. In this example, you could either replace the **CTR** metric with a non-ratio metric, such as **Impressions** . Or, instead of filtering on the concatenated **Campaign : Click Type** field, put the filter on the standard **Click Type** field, which would achieve the same result.\n\nThe chart now works:\n\nRelated resources\n-----------------\n\n- [Google Analytics Dimensions \\& Metrics Explorer](https://developers.google.com/analytics/devguides/reporting/core/dimsmets)\n- [Google Ads Glossary](/google-ads/topic/3121777)"]]