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Checking for differences

When joining two data sources together, it's important to look for differences in the keys. Without this, you can get far more rows in your joins than you were expecting. You saw some results that seemed a little off with our joins earlier in this chapter. In this exercise, you'll explore some reasons for those issues.

world_bank_data and imf_data have been loaded for you.

This exercise is part of the course

Programming with dplyr

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Find distinct ISO and country names in the two datasets
imf_countries <- imf_data %>% 
	___
world_bank_countries <- world_bank_data %>% 
	___
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