{"action":"opened","issue":{"url":"https://api.github.com/repos/PMSI-AlignAlytics/dimple/issues/236","repository_url":"https://api.github.com/repos/PMSI-AlignAlytics/dimple","labels_url":"https://api.github.com/repos/PMSI-AlignAlytics/dimple/issues/236/labels{/name}","comments_url":"https://api.github.com/repos/PMSI-AlignAlytics/dimple/issues/236/comments","events_url":"https://api.github.com/repos/PMSI-AlignAlytics/dimple/issues/236/events","html_url":"https://github.com/PMSI-AlignAlytics/dimple/issues/236","id":166269808,"number":236,"title":"access original data rows from aggregated series data","user":{"login":"jabadia","id":557197,"avatar_url":"https://avatars.githubusercontent.com/u/557197?v=3","gravatar_id":"","url":"https://api.github.com/users/jabadia","html_url":"https://github.com/jabadia","followers_url":"https://api.github.com/users/jabadia/followers","following_url":"https://api.github.com/users/jabadia/following{/other_user}","gists_url":"https://api.github.com/users/jabadia/gists{/gist_id}","starred_url":"https://api.github.com/users/jabadia/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jabadia/subscriptions","organizations_url":"https://api.github.com/users/jabadia/orgs","repos_url":"https://api.github.com/users/jabadia/repos","events_url":"https://api.github.com/users/jabadia/events{/privacy}","received_events_url":"https://api.github.com/users/jabadia/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-07-19T07:57:36Z","updated_at":"2016-07-19T07:57:36Z","closed_at":null,"body":"In order to extend dimple for some useful use cases, I would like to have an array of the original data rows accessible from the series data rows:\r\n\r\n1. That would allow to create more meaningful tooltips using row fields that are not used in any axis\r\n\r\n2. I want to do a 'candlestick' chart. I could write a plot.candle function and access min, avg, and max fields for each data point to draw the candle accordingly."}}
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