Convert a nested list of dataframes with different length to one dataframe in R

Question

I want to convert a nested list of dataframes to a single dataframe.

The list has some char columns as well as dataframes. Some of the nested dataframes have empty cells. I tried all the solutions on similar topic but none of them are working on this case. My current solution was trying to use tidyr::unnest and qdapTools::t(mtabulate(data)) .

My current failed working:

page2_1 <- unnest(page2, cols = c(results.extensions, results.releases))
page2_2 <- unnest(page2_1, cols = c(tag))
page2_3 <- page2_2 %>% unnest_wider(., tender.milestones)

Error: Names must be unique.
x These names are duplicated:
  * "id" at locations 10 and 30.
  * "title" at locations 31 and 62.
  * "description" at locations 32 and 63.

Answer 1

With unnest , we can use names_repair . The default option checks for duplicated column names with "check_unique" . According to ?unnest , the "unique" value would help here

"unique": make sure names are unique and not empty,

library(dplyr)
library(tidyr)
page2_2 %>% 
    unnest_wider(., tender.milestones, names_repair = 'unique')