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[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[[["\u003cp\u003eCounts the number of distinct values for a specified property within a FeatureCollection.\u003c/p\u003e\n"],["\u003cp\u003eAccepts a FeatureCollection and the property name as input.\u003c/p\u003e\n"],["\u003cp\u003eReturns the total count of distinct values as a number.\u003c/p\u003e\n"],["\u003cp\u003eUseful for understanding the variety of values within a dataset's property.\u003c/p\u003e\n"]]],["The `aggregate_count_distinct` method calculates the number of unique values for a specified property within a FeatureCollection. It takes a FeatureCollection as input and a property name (string) to evaluate. The method returns a numerical value representing the count of distinct values. For example, in a FeatureCollection of power plants, using `aggregate_count_distinct('fuel1')` returns the number of distinct fuel sources. In the provided example in Belgium it returned 7.\n"],null,[]]