{"action":"closed","issue":{"url":"https://api.github.com/repos/ellisonbg/altair/issues/159","repository_url":"https://api.github.com/repos/ellisonbg/altair","labels_url":"https://api.github.com/repos/ellisonbg/altair/issues/159/labels{/name}","comments_url":"https://api.github.com/repos/ellisonbg/altair/issues/159/comments","events_url":"https://api.github.com/repos/ellisonbg/altair/issues/159/events","html_url":"https://github.com/ellisonbg/altair/issues/159","id":165438236,"number":159,"title":"Altair documentation","user":{"login":"ERDataDoc","id":7772676,"avatar_url":"https://avatars.githubusercontent.com/u/7772676?v=3","gravatar_id":"","url":"https://api.github.com/users/ERDataDoc","html_url":"https://github.com/ERDataDoc","followers_url":"https://api.github.com/users/ERDataDoc/followers","following_url":"https://api.github.com/users/ERDataDoc/following{/other_user}","gists_url":"https://api.github.com/users/ERDataDoc/gists{/gist_id}","starred_url":"https://api.github.com/users/ERDataDoc/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ERDataDoc/subscriptions","organizations_url":"https://api.github.com/users/ERDataDoc/orgs","repos_url":"https://api.github.com/users/ERDataDoc/repos","events_url":"https://api.github.com/users/ERDataDoc/events{/privacy}","received_events_url":"https://api.github.com/users/ERDataDoc/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2016-07-13T22:42:34Z","updated_at":"2016-07-15T03:23:40Z","closed_at":"2016-07-15T03:23:40Z","body":"I am wondering if there is documentation of all of the features of Altair.  I am looking specifically now for the options that exist for the \"mark_<  >\" method of the Chart object.  The Aggregate Operations have a listing (I am assuming it is a complete listing) of all the choices.  I don't see that for the mark_ method.  Since this is a statistical visualization API, I am wondering about boxplots, since these are sometimes useful during exploratory data analysis.  \r\n\r\nThank you."}}
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