[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-07。"],[[["\u003cp\u003eContribution analysis, also known as key driver analysis, helps identify changes in key metrics across multi-dimensional data.\u003c/p\u003e\n"],["\u003cp\u003eThis feature, currently in a pre-GA stage, is available "as is" with potential limited support, and subject to the "Pre-GA Offerings Terms".\u003c/p\u003e\n"],["\u003cp\u003eContribution analysis models compare a test data set to a control data set to identify statistically significant changes across various dimensions, such as time or location.\u003c/p\u003e\n"],["\u003cp\u003eA \u003ccode\u003eCREATE MODEL\u003c/code\u003e statement in BigQuery can be used to build a contribution analysis model, and these models can use either summable or summable ratio metrics.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eML.GET_INSIGHTS\u003c/code\u003e function allows users to retrieve metric information calculated by a created contribution analysis model.\u003c/p\u003e\n"]]],[],null,[]]
