{"type":"data","nodes":[null,{"type":"data","data":[{"tweet":1},{"edit_info":2,"retweeted":9,"source":10,"entities":11,"display_text_range":37,"favorite_count":39,"in_reply_to_status_id_str":40,"id_str":5,"in_reply_to_user_id":21,"truncated":9,"retweet_count":19,"id":5,"in_reply_to_status_id":40,"created_at":41,"favorited":9,"full_text":42,"lang":43,"in_reply_to_screen_name":17,"in_reply_to_user_id_str":21},{"initial":3},{"editTweetIds":4,"editableUntil":6,"editsRemaining":7,"isEditEligible":8},[5],"1220791754661777409","2020-01-24T20:03:30.182Z","5",true,false,"\u003Ca href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App\u003C/a>",{"hashtags":12,"symbols":13,"user_mentions":14,"urls":36},[],[],[15,22,29],{"name":16,"screen_name":17,"indices":18,"id_str":21,"id":21},"Elijah Meeks","Elijah_Meeks",[19,20],"0","13","1387915232",{"name":23,"screen_name":24,"indices":25,"id_str":28,"id":28},"Voilà: Francis Gagnon","chezVoila",[26,27],"14","24","1385704826",{"name":30,"screen_name":31,"indices":32,"id_str":35,"id":35},"Data Visualization Society","DataVizSociety",[33,34],"25","40","1086037534176473088",[],[19,38],"258","1","1220787061369655297","Fri Jan 24 19:33:30 +0000 2020","@Elijah_Meeks @chezVoila @DataVizSociety I'd say it depends on the nature of the underlying data. Like, if showing discrete data (ranks, count etc) I'd always prefer step \"curves\". For continuous data it depends on how the measured value behave in \"reality\".","en"],"uses":{"params":["tweetid"]}}]}