{"action":"created","issue":{"url":"https://api.github.com/repos/influxdb/influxdb/issues/1224","labels_url":"https://api.github.com/repos/influxdb/influxdb/issues/1224/labels{/name}","comments_url":"https://api.github.com/repos/influxdb/influxdb/issues/1224/comments","events_url":"https://api.github.com/repos/influxdb/influxdb/issues/1224/events","html_url":"https://github.com/influxdb/influxdb/issues/1224","id":51882798,"number":1224,"title":"Detect data anomally ","user":{"login":"kureikain","id":49754,"avatar_url":"https://avatars.githubusercontent.com/u/49754?v=3","gravatar_id":"","url":"https://api.github.com/users/kureikain","html_url":"https://github.com/kureikain","followers_url":"https://api.github.com/users/kureikain/followers","following_url":"https://api.github.com/users/kureikain/following{/other_user}","gists_url":"https://api.github.com/users/kureikain/gists{/gist_id}","starred_url":"https://api.github.com/users/kureikain/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kureikain/subscriptions","organizations_url":"https://api.github.com/users/kureikain/orgs","repos_url":"https://api.github.com/users/kureikain/repos","events_url":"https://api.github.com/users/kureikain/events{/privacy}","received_events_url":"https://api.github.com/users/kureikain/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2014-12-13T09:46:16Z","updated_at":"2015-01-04T18:52:29Z","closed_at":"2015-01-04T18:52:29Z","body":"Hi,\r\n\r\nDo we have any built-in method to detect anomal data in a time series? I'm thinking of using median, then a threshold to detect anomally? Such as [median] +/- [threshold value]? Or probably using Percentile?\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/influxdb/influxdb/issues/comments/68643924","html_url":"https://github.com/influxdb/influxdb/issues/1224#issuecomment-68643924","issue_url":"https://api.github.com/repos/influxdb/influxdb/issues/1224","id":68643924,"user":{"login":"pauldix","id":4331,"avatar_url":"https://avatars.githubusercontent.com/u/4331?v=3","gravatar_id":"","url":"https://api.github.com/users/pauldix","html_url":"https://github.com/pauldix","followers_url":"https://api.github.com/users/pauldix/followers","following_url":"https://api.github.com/users/pauldix/following{/other_user}","gists_url":"https://api.github.com/users/pauldix/gists{/gist_id}","starred_url":"https://api.github.com/users/pauldix/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pauldix/subscriptions","organizations_url":"https://api.github.com/users/pauldix/orgs","repos_url":"https://api.github.com/users/pauldix/repos","events_url":"https://api.github.com/users/pauldix/events{/privacy}","received_events_url":"https://api.github.com/users/pauldix/received_events","type":"User","site_admin":false},"created_at":"2015-01-04T18:52:29Z","updated_at":"2015-01-04T18:52:29Z","body":"There isn't anything built in and we don't plan on building anomaly detection into the database. Rather, our plan is to build the tools so that you'll be able to do it yourself. "}}