The variance (for example, square of the standard deviation) of the metric value. If value is exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using the following formula, where Z is the standard constant that depends on the preferred size of the confidence interval (for example, for 90% confidence interval, use Z = 1.645):
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-09-18 UTC."],[[["\u003cp\u003eMetric values represent counts that can be either exact or estimated, including an expected value and variance.\u003c/p\u003e\n"],["\u003cp\u003eThe JSON representation includes 'value' and 'variance' fields, both in int64 format.\u003c/p\u003e\n"],["\u003cp\u003e'value' indicates the expected metric value, while 'variance' quantifies the uncertainty around the value, being 0 for exact counts.\u003c/p\u003e\n"],["\u003cp\u003eVariance enables margin of error calculation, allowing users to understand the potential range of the true metric value.\u003c/p\u003e\n"]]],[],null,["# MetricValue\n\n- [JSON representation](#SCHEMA_REPRESENTATION)\n\nA metric value, with an expected value and a variance; represents a count that may be either exact or estimated (for example, when sampled).\n\n| JSON representation ||\n|-------------------------------------------------|---|\n| ``` { \"value\": string, \"variance\": string } ``` |\n\n| Fields ||\n|------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `value` | `string (`[int64](https://developers.google.com/discovery/v1/type-format)` format)` The expected value of the metric. |\n| `variance` | `string (`[int64](https://developers.google.com/discovery/v1/type-format)` format)` The variance (for example, square of the standard deviation) of the metric value. If value is exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using the following formula, where Z is the standard constant that depends on the preferred size of the confidence interval (for example, for 90% confidence interval, use Z = 1.645): marginOfError = 100 \\* Z \\* sqrt(variance) / value |"]]
