Photo by Casey Horner on Unsplash
This post is following of above post.
In this post, let's draw scatter plots using R ggplot2::geom_point.
First of all, let's see correlations about 4 KG_CAPs.
bekg: BEEF KG_CAP and pokg: POULTRY KG_CAP are the most strongly correlated pair.
pikg: PIG KG_CAP and shkg: SHEEP KG_CAP are the least weakly correlated pair.
Then, let's draw scatter plots.
First, bekg: BEEF KG_CAP and pikg: PIG KG_CAP
We see some countries seems have negative correlation.
Let's see bekg and pokg: POULTRY KG_CAP
How about bekg and shkg: SHEEP KG_CAP?
Many countries have relatively low value for shkg compared to bekg.
pikg and pokg
pikg and shkg
Lastly, pokg and shkg
Now, we have 6 scatter plot objects, p1 ~ p6.
Let's show it at once. we use gridExtra::grid.arrange() function.
That's it. Thank you!
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