load_nba_schedule() returns a broken data.table object about hoopr

[saiemgilani]

I cannot say honestly whether this ought to be considered a defect or a documentation error. I am unsure of what exactly is causing conflict but I think you have pinpointed it. I appreciate the note, as a user, I would expect that the tail() should work, so I will need to make some changes to fix.

[grayskripko]

the easiest solition is not using data.table or remove it as I did in the topic. Where is come from? Do you use some hybrid of data.table and tidyverse?

[saiemgilani]

The reason many of the functions are so fast is due to the usage of data.table. It isn't an accident that we are using it. I'm not sure if I should do as you've done above or simply update the documentation to indicate it is a data.table object. clarifying*

[grayskripko]

indicating that this is a data.table object doesn't solve the issue -- the final output object is broken. As a workaround: all user functions may return pure tibble objects but operate as it's faster.
By the way: is it really faster to use data.table? In my experience the difference is negligible for medium size datasets.