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A common key to look up values, like iso in the imf_data and world_bank_data tibbles, is important in joining datasets. But wouldn't country also work? You'll examine this in this lesson.

Throughout this chapter, the dplyr package has been loaded for you.

world_bank_data has been trimmed to only focus on Asian countries and a few columns in the asia_wb tibble. A few columns were also selected from imf_data in the imf_subset tibble. asia_wb and imf_subset have been loaded for you.

Perform the appropriate joins to obtain the following results. Let dplyr identify the keys to join here.

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.

# Return all rows of asia_wb and matching rows from imf_subset
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