Is your feature request related to a problem? Please describe.
When loading data from the USGS services additional columns are included that are not
used in the TADA workflow. These should be removed from the import data before
it is loaded into the tadat$raw dataset.
Describe the solution you'd like
TADA or TADAShiny needs to maintain a list of 'useful' columns that are recognized and used in the workflow.
Columns not in this list should be graciously removed.
library(TADAShiny)
cols_to_remove <- c("colB", "colD")
new_df <- original_df[, !(names(original_df) %in% cols_to_remove)]
Describe alternatives you've considered
Leave the columns in the dataset. Their only issue is that the exported excel file is getting really wide.
Additional context
Add any other context or screenshots about the feature request here.