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Hello,
Standard time-series dataset raise the following error :
library(dplyr)
explore_dataset(nasa)
[1] "Data has 41472 rows and 4 columns"
Error in dt1[, lapply(.SD, uniqueN)] : incorrect number of dimensions
turning the data-frame into data.table drops another error
library(data.table)
explore_dataset(nasa %>% as.data.table)
[1] "Data has 41472 rows and 11 columns"
Error in rep.int(y, times = nrow/(x[i] * n[i])) :
incorrect value 'times'
thank you for your efforts !
Best regards
C.R.
The text was updated successfully, but these errors were encountered:
Ah, much better. Thanks for reporting. Not sure when I can get to this though. explore_dataset () is still "experimental" at this time, but I have plans to improve it in the future.
Hello,
Standard time-series dataset raise the following error :
turning the data-frame into data.table drops another error
thank you for your efforts !
Best regards
C.R.
The text was updated successfully, but these errors were encountered: