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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-09-18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."],[[["Metric values represent counts that can be either exact or estimated, including an expected value and variance."],["The JSON representation includes 'value' and 'variance' fields, both in int64 format."],["'value' indicates the expected metric value, while 'variance' quantifies the uncertainty around the value, being 0 for exact counts."],["Variance enables margin of error calculation, allowing users to understand the potential range of the true metric value."]]],[]]
