Hey Igor,
I have been dealing with *CSV*/*XLSX* files from time to time and depending
on the size of those files you are mentioning, 180 seconds isn't really
that much.
>From my experience, *vroom *is the fastest I've encountered but it deals
with *CSV* files (I can support its usage for up to
Yes, we will make sure that this is fixed ASAP. There is no need to worry.
Hadley
On Wed, Oct 5, 2022 at 7:32 AM John Harrold wrote:
>
> Howdy Folks,
>
> I got a message from CRAN today telling me that I have a strong reverse
> dependency on the isoband package. But I'm not alone! It look like
According to my internet research, it looks like readxl is the fastest
package.
The profvis package indicated that the bottleneck is indeed in importing
the files.
My processor has six cores, but when I use four of them the computer
crashes completely. When I use three processors, it's still
Am 05.10.22 um 14:32 schrieb John Harrold:
Howdy Folks,
I got a message from CRAN today telling me that I have a strong reverse
dependency on the isoband package. But I'm not alone! It look like more
than 4700 other packages also have a strong dependency on this. Is there
some organized effort
Hi John,
I think the short answer is yes, see the discussion on their GitHub:
https://github.com/wilkelab/isoband/issues/31
See also: https://github.com/tidyverse/ggplot2/issues/5006
Best,
Henrik
Am Mi., 5. Okt. 2022 um 13:32 Uhr schrieb John Harrold
:
>
> Howdy Folks,
>
> I got a message from
Howdy Folks,
I got a message from CRAN today telling me that I have a strong reverse
dependency on the isoband package. But I'm not alone! It look like more
than 4700 other packages also have a strong dependency on this. Is there
some organized effort to deal with this?
Thanks
John
