Let's imagine an application that loads the iris dataset and returns the mean and median of numeric variables based upon the species selected. With the elements seen so far, the output generation process would consist of the following:
Load the
irisdatasetSubset the dataset with the species selected
Calculate the mean for each variable
Calculate the median for each variable
Output the mean and median
As it has been explained before, every reactive element (like outputs) are re-executed whenever an input changes. So, in this case, these five processes would be in constant re-execution.
However, there is an evident issue in this situation: the dataset is always the same one, so the exact same operation is done every time an input changes. The underlying problem is that the load of the iris dataset does not actually depend on the input passed. In other words, it is independent from the application's reactive process.
Shiny provides, basically,...