crosshyou

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 Net ODA data analysis 3 - Visualizing data with ggplot() + geom_boxplot() and geom_line(). U.S.A. has the largest ODAFLOWS & MLN_USD.

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Photo by Chris Lejarazu on Unsplash

 

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 This blog is following of above blog.
This time, let's visualize ODAFLOWS & MLN_USD data.

Fisrtly, let's see time x value

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Let'c caluculate average value by time and plot a line chart.

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We see a trough before 2000 and 2020 is the highest value.

Now, let's see by location.

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USA has the highest average value. DEU has the 2nd, FRA has 3rd and JPN has 4th.

USA is U.S.A., DEU is Germany, FRA is France and JPN is Japan.

I add scale_y_log10() to convert y-axis to logarithm.

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We can see more detail for  smaller value locations.

That's it. Thank you!

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