Closed bonyadn closed 2 years ago
The following works for me
library(googleVis)
plot(gvisTable(data.frame(x=1:2000, y=sample(2000))))
The following works for me
library(googleVis) plot(gvisTable(data.frame(x=1:2000, y=sample(2000))))
I'm sorry, I should have specified it a bit more. I have a large df looking like this:
ID | headline | num | domain | url | date |
---|---|---|---|---|---|
1 | some random text | 4 | google.com | https://www.google.com/.... | 2016-09-19 |
3 | sandommm text 2 | 4 | nt.com | https://www.nt.com/... | 2020-10-20 |
2 | sandom text | 6 | facebook.com | https://www.facebook.com/... | 2020-12-31 |
Can you please provide a minimal reproducible example?
Can you please provide a minimal reproducible example?
I'll try to. Do you know a fast method to remove sinsitive data?
I suggest you create artificial data like I did. However, most likely your data is causing the problem. Try to identify with your data from which row onwards the error starts to occur. See if it works when you exclude that row.
I suggest you create artificial data like I did. However, most likely your data is causing the problem. Try to identify with your data from which row onwards the error starts to occur. See if it works when you exclude that row.
I built it with Artificial Data and it worked fine, seems like there is a problem with my DF, thank you for your time and help
I have a large DF that is plotted properly if I use a small sample but not if make it too big.
plot(gvisTable(sample_n(dateframe,50)))
-> showing table in browserplot(gvisTable(sample_n(dateframe,2000)))
-> not showing table in browserIs this something I can fix or is it just not possible with
gvisTable()
?The table looks like this:
with over 1k entries