imf_data issues

I'm trying to run this code:
```
goods_export_Q = imf_data(database_id = 'BOP', indicator = 'BXG_BP6_USD',
country = 'all', start = '2000-Q1', freq = 'Q')
```

And it results to a warning message:
```
Warning message:
In sub_data[, indicator] %>% as.numeric : NAs introduced by coercion
```

The code runs but when I view the data, it has a lot of NAs in it even though it shouldn't be NA. Any solutions to this?

Start by running the reported imf_data call for the BOP database and BXG_BP6_USD indicator, then inspect the returned values at the point where the indicator column is coerced to numeric. Compare the IMF response values with the resulting NAs and identify why valid observations trigger the warning; done means the reported data no longer loses valid values during conversion.

Written by the indexing model from the issue text.