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政府統計の総合窓口のデータや、OECDやUCIやのデータを使って、Rの練習をしています。ときどき、読書記録も載せています。

OECD Doctors' consultations data analysis 2 - use inner_join() to merge two data frames

 

f:id:cross_hyou:20210605163555j:plain

Photo by Sergey Shmidt on Unsplash

 

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 This post is following of above post.
In the previous post, I read OECD Doctors' consultation data in R. But we don't know what LOCATION is what country. So I will add those information.

First, I load ISO country data from 

https://raw.githubusercontent.com/lukes/ISO-3166-Countries-with-Regional-Codes/master/all/all.csv

f:id:cross_hyou:20210605164032p:plain

f:id:cross_hyou:20210605164050p:plain

We only need name(which is contry name), alpha-3(which is equivalnet to LOCATION of df), region and sub-region. So, I use select() function to selct only them.

f:id:cross_hyou:20210605164254p:plain

I change alpha-3 to LOCATION and sub-region to sub_region.

f:id:cross_hyou:20210605164430p:plain

Using inner_join(), I merge df and name_code

f:id:cross_hyou:20210605164617p:plain

And I changed region and sub_region to factor from character.

f:id:cross_hyou:20210605164730p:plain

All right, now I have good data frame:df to analyze.

That's it. Thank you!

 

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