我很想使用tidyjson软件包，因为它对如何使用有非常明确的说明。
但是，我有一些问题。您能帮忙检查一下，让我知道是否是用户问题或其他问题。
我正在使用从http://jsonstudio.com/resources/下载的world_bank.json数据
worldbank <-fromJSON（file =“ world_bank.json”）
我确实在Rstudio中看到了50个列表。但是，当我尝试使用read_json时，出现以下错误。
> read_json(worldbank, format = "json")
Error in file.info(path) : invalid filename argument
> worldbank[[1]] %>% prettify
Error: parse error: trailing garbage
52b213b38594d8a2be17c780
(right here) ------^
使用jsonlite::stream_in如萃建议用流解压：
> download.file("http://jsonstudio.com/wp-content/uploads/2014/02/world_bank.zip", "world_bank.zip")
> world_bank <- jsonlite::stream_in(unz("world_bank.zip", "world_bank.json"))
> names(world_bank)
[1] "_id" "approvalfy" "board_approval_month"
[4] "boardapprovaldate" "borrower" "closingdate"
[7] "country_namecode" "countrycode" "countryname"
[10] "countryshortname" "docty" "envassesmentcategorycode"
[13] "grantamt" "ibrdcommamt" "id"
[16] "idacommamt" "impagency" "lendinginstr"
[19] "lendinginstrtype" "lendprojectcost" "majorsector_percent"
[22] "mjsector_namecode" "mjtheme" "mjtheme_namecode"
[25] "mjthemecode" "prodline" "prodlinetext"
[28] "productlinetype" "project_abstract" "project_name"
[31] "projectdocs" "projectfinancialtype" "projectstatusdisplay"
[34] "regionname" "sector" "sector1"
[37] "sector2" "sector3" "sector4"
[40] "sector_namecode" "sectorcode" "source"
[43] "status" "supplementprojectflg" "theme1"
[46] "theme_namecode" "themecode" "totalamt"
[49] "totalcommamt" "url"
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