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The data sets are quite large, especially when uncompressed. For learning purposes, smaller datasets should be used, since the same principles can be taught on a variety of computing devices. This can be accomplished by cropping the current data sets.
The text was updated successfully, but these errors were encountered:
In addition to reducing dataset size, it would also help to provide other guidance on recommended system requirements and ways to economize memory and processing like:
Provide minimum and recommended system requirements in the setup page
Encourage those with lower-power computers to use cloud-based (RStudio Cloud, etc) or container-based (Docker image in setup page) options instead of local options
Add explicit recommendations for those with lower power computers to close other windows/tasks, clear datasets from memory when no longer in use, etc.
The data sets are quite large, especially when uncompressed. For learning purposes, smaller datasets should be used, since the same principles can be taught on a variety of computing devices. This can be accomplished by cropping the current data sets.
The text was updated successfully, but these errors were encountered: