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I have two dataframes I need to merge together. The first one is called "rain_year" and the second is called "refugee." rain_year (df1) has a column called "sum_precip". Refugee (df2) has a column called "refugees".

Both dataframes have columns "Year" and "origin" in common and this is what I need to match on. df1 is more than twice the size of df2.

Here is an example of df1:

Year origin sum_precip

1951 Afghanistan 315

1952 Afghanistan 300

1953 Afghanistan 280

and so on and so forth for all countries going back to 1951.

Here is an example of df2:

Year origin refugees

1951 Afghanistan 500

1952 Afghanistan 400

1953 Afghanistan 350

and so on for all countries going back to 1951.

The two dataframes differ in size because not all countries in df2 produced refugees in all years from 1951-present. As such, I expect there to be a considerable amount of 'NA' when merging either df1 to df2 or vice versa.

When I run this code:

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