{"type":"data","nodes":[null,{"type":"data","data":[{"tweet":1},{"edit_info":2,"retweeted":9,"source":10,"entities":11,"display_text_range":28,"favorite_count":30,"id_str":5,"truncated":9,"retweet_count":31,"id":5,"possibly_sensitive":9,"created_at":32,"favorited":9,"full_text":33,"lang":34},{"initial":3},{"editTweetIds":4,"editableUntil":6,"editsRemaining":7,"isEditEligible":8},[5],"1101583785672564736","2019-03-01T21:13:35.598Z","5",true,false,"\u003Ca href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client\u003C/a>",{"hashtags":12,"symbols":18,"user_mentions":19,"urls":20},[13],{"text":14,"indices":15},"ggplot2",[16,17],"77","85",[],[],[21],{"url":22,"expanded_url":23,"display_url":24,"indices":25},"https://t.co/s6sqcUxTbc","https://twitter.com/driven_by_data/status/1101582585673760768","twitter.com/driven_by_data…",[26,27],"269","292",[29,27],"0","171","27","Fri Mar 01 20:43:35 +0000 2019","I don't even know why I'm still stunned how easy it is to create charts with #ggplot2. where the D3 version takes loads of data wrangling and joining and wrestling with some Loess implementation before even getting to the rendering part, the R version fits in a tweet. https://t.co/s6sqcUxTbc","en"],"uses":{"params":["tweetid"]}}]}