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主にクロス表(分割表)分析をしようかなと思いはじめましたが、あまりクロス表の分析はできず。R言語の練習ブログになっています。

OECD International Student Mobility Data Analysis 4 - Which country has the largest net change for International Student Mobility?

f:id:cross_hyou:20210722141432j:plain

Photo by Kumiko SHIMIZU on Unsplash  

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 This post is following of above post.

Let's make data frame which contains 2005 data only.

f:id:cross_hyou:20210722141636p:plain

Then, let's make data frame which contains 2018 data only.

f:id:cross_hyou:20210722141753p:plain

Then, join these two data frames with inner_join() function.

f:id:cross_hyou:20210722141909p:plain

All right, then, let's calculate net change from 2005 to 2018.

f:id:cross_hyou:20210722142251p:plain

So, it's time to see which country has the largest net change?

f:id:cross_hyou:20210722142402p:plain

AUS has the largest net change from 2005 to 2018.
And we see all countries have positive net change.
International Student Mobility as a whole has improved since 2005.

Let's plot 2005 value and net change.

f:id:cross_hyou:20210722142635p:plain

f:id:cross_hyou:20210722142645p:plain

We see AUS has the highest value for 2005 and the largest net change.

That's it. Thx!
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