Closed soursunrise closed 2 years ago
How exactly are you loading the file in R?
Someone else on on the docnow slack had an issue with R but it was resolved when using tidyverse
as opposed to read.csv()
I've been using read_csv
, yes, but it's part of tidyverse
, as far as I understand? What would you suggest?
I'm curious does each row in the DataFrame have an id?
Turns out that it was a divider problem in the write.csv2()
which was then incorrectly uploaded.
Now the number makes sense - still a bit smaller than given by Hydrator, but I guess that was already looked at in another thread and is not differing much in any case
Hi,
I have recently hydrated 8,742,424 tweet IDs, the output shows 5,550,148 tweets extracted (deletion rate was high). However, when I load the resulting CSV in R, it shows 10,495,674 rows/tweets. How can this be?
Thanks for your answer!
V