json - What does 'records are values not objects' mean in tidyjson -

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the json in following string correct json according http://jsonlint.com/ tidyjson objects:

library(dplyr) library(tidyjson)  json <- '     [{"country":"us","city":"portland","topics":[{"urlkey":"videogame","name":"video games","id":4471},{"urlkey":"board-games","name":"board games","id":19585},{"urlkey":"computer-programming","name":"computer programming","id":48471},{"urlkey":"opensource","name":"open source","id":563}],"joined":1416349237000,"link":"http://www.meetup.com/members/156440062","bio":"analytics engineer.  work in hadoop space.","lon":-122.65,"other_services":{},"name":"aaron wirick","visited":1443078098000,"self":{"common":{}},"id":156440062,"state":"or","lat":45.56,"status":"active"}]     '     json %>% as.tbl_json %>% gather_keys

i get:

error in gather_keys(.) : 1 records values not objects

as mentioned in 1 of comments, gather_keys looking objects, have array. should using here gather_array.

further, other answer uses more brute-force approach parsing json attribute tidyjson package creates. tidyjson provides methods dealing in bit cleaner pipeline if desired:

library(dplyr) library(tidyjson)  json <- ' [{"country":"us","city":"portland" ,"topics":[  {"urlkey":"videogame","name":"video games","id":4471}  ,{"urlkey":"board-games","name":"board games","id":19585}  ,{"urlkey":"computer-programming","name":"computer programming","id":48471}  ,{"urlkey":"opensource","name":"open source","id":563} ] ,"joined":1416349237000 ,"link":"http://www.meetup.com/members/156440062" ,"bio":"analytics engineer.  work in hadoop space." ,"lon":-122.65,"other_services":{} ,"name":"aaron wirick","visited":1443078098000 ,"self":{"common":{}} ,"id":156440062,"state":"or","lat":45.56,"status":"active" }] '  mydf <- json %>% as.tbl_json %>% gather_array %>%  spread_values(  country=jstring('country')  , city=jstring('city')  , joined=jnumber('joined')  , bio=jstring('bio') ) %>%  enter_object('topics') %>%  gather_array %>% spread_values(urlkey=jstring('urlkey'))

this pipeline shines if there multiple such objects in array. hope helpful, if long after fact!


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