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library("dplyr") library("tibble") library("jsonlite") 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")) world_bank2 <- as_data_frame(world_bank) world_bank2 %>% glimpse()
results in
Observations: 500 Variables: 50 Error in `[.data.frame`(X[[i]], ...): undefined columns selected Traceback: 1. world_bank2 %>% glimpse() 2. withVisible(eval(quote(`_fseq`(`_lhs`)), env, env)) 3. eval(quote(`_fseq`(`_lhs`)), env, env) 4. eval(expr, envir, enclos) 5. `_fseq`(`_lhs`) 6. freduce(value, `_function_list`) 7. withVisible(function_list[[k]](value)) 8. function_list[[k]](value) 9. glimpse(.) 10. glimpse.tbl(.) 11. as.data.frame(head(x, rows)) 12. head(x, rows) 13. head.data.frame(x, rows) 14. x[seq_len(n), , drop = FALSE] 15. `[.tbl_df`(x, seq_len(n), , drop = FALSE) 16. lapply(x, `[`, i) 17. FUN(X[[i]], ...) 18. `[.data.frame`(X[[i]], ...) 19. stop("undefined columns selected")
[This is with tibble master from today]
Interestingly, the original data.frame works with glimpse():
> world_bank %>% glimpse() Observations: 500 Variables: 50 $ _id (data.frame) c("52b213b38594d8a2be17c780", "52b2... $ approvalfy (chr) "1999", "2015", "2014", "2014", "2014", "2... $ board_approval_month (chr) "November", "November", "November", "Octob... $ boardapprovaldate (chr) "2013-11-12T00:00:00Z", "2013-11-04T00:00:... $ borrower (chr) "FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA",... $ closingdate (chr) "2018-07-07T00:00:00Z", NA, NA, NA, "2019-... $ country_namecode (chr) "Federal Democratic Republic of Ethiopia!$... $ countrycode (chr) "ET", "TN", "TV", "RY", "LS", "KE", "IN", ... $ countryname (chr) "Federal Democratic Republic of Ethiopia",... $ countryshortname (chr) "Ethiopia", "Tunisia", "Tuvalu", "Yemen, R... $ docty (chr) "Project Information Document,Indigenous P... $ envassesmentcategorycode (chr) "C", "C", "B", "C", "B", "C", "A", "C", "B... $ grantamt (int) 0, 4700000, 0, 1500000, 0, 0, 0, 27280000,... $ ibrdcommamt (int) 0, 0, 0, 0, 0, 0, 500000000, 0, 0, 2000000... $ id (chr) "P129828", "P144674", "P145310", "P144665"... $ idacommamt (int) 130000000, 0, 6060000, 0, 13100000, 100000... $ impagency (chr) "MINISTRY OF EDUCATION", "MINISTRY OF FINA... $ lendinginstr (chr) "Investment Project Financing", "Specific ... $ lendinginstrtype (chr) "IN", "IN", "IN", "IN", "IN", "IN", "IN", ... $ lendprojectcost (dbl) 550000000, 5700000, 6060000, 1500000, 1500... $ majorsector_percent (list) Education, Education, Public Administrati... $ mjsector_namecode (list) Education, Education, Public Administrati... $ mjtheme (list) Human development, Economic management, S... $ mjtheme_namecode (list) Human development, , 8, 11, Economic mana... $ mjthemecode (chr) "8,11", "1,6", "5,2,11,6", "7,7", "5,4", "... $ prodline (chr) "PE", "RE", "PE", "RE", "PE", "PE", "PE", ... $ prodlinetext (chr) "IBRD/IDA", "Recipient Executed Activities... $ productlinetype (chr) "L", "L", "L", "L", "L", "L", "L", "L", "L... $ project_abstract (data.frame) c("The development objective of the... $ project_name (chr) "Ethiopia General Education Quality Improv... $ projectdocs (list) Project Information Document (PID), Vol.... $ projectfinancialtype (chr) "IDA", "OTHER", "IDA", "OTHER", "IDA", "ID... $ projectstatusdisplay (chr) "Active", "Active", "Active", "Active", "A... $ regionname (chr) "Africa", "Middle East and North Africa", ... $ sector (list) Primary education, Secondary education, P... $ sector1 (data.frame) c("Primary education", "Public admi... $ sector2 (data.frame) c("Secondary education", "General p... $ sector3 (data.frame) c("Public administration- Other soc... $ sector4 (data.frame) c("Tertiary education", "NA", "NA",... $ sector_namecode (list) Primary education, Secondary education, P... $ sectorcode (chr) "ET,BS,ES,EP", "BZ,BS", "TI", "JB", "FH,YW... $ source (chr) "IBRD", "IBRD", "IBRD", "IBRD", "IBRD", "I... $ status (chr) "Active", "Active", "Active", "Active", "A... $ supplementprojectflg (chr) "N", "N", "Y", "N", "N", "Y", "N", "N", "N... $ theme1 (data.frame) c("Education for all", "Other econo... $ theme_namecode (list) Education for all, 65, Other economic man... $ themecode (chr) "65", "54,24", "52,81,25,47", "59,57", "41... $ totalamt (int) 130000000, 0, 6060000, 0, 13100000, 100000... $ totalcommamt (int) 130000000, 4700000, 6060000, 1500000, 1310... $ url (chr) "http://www.worldbank.org/projects/P129828...
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Sorry, opend against the wrong package: moved to tidyverse/tibble#103
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results in
[This is with tibble master from today]
Interestingly, the original data.frame works with glimpse():
The text was updated successfully, but these errors were encountered: