This post is following of the above post.
In the previous post, I imported CSV file data into R. Then, let's visialize those data.
First, let's see each 4 kinds of crops field area.
Let's start with MAIZE.
I use filter() function to filter MAIZE and THND_HA obserbations only.
Then, I use mutate() and reorder() function to reorder LOCATION by Value,
then, I use ggplot() + geom_boxplot() + coord_flip() function to make boxplots.
Oops! The df data frame inclused WLD, BRICS and OECD, which are not a countey but a aggregation of countries. So, I remove them.
Again, let's see MAIZE crop field area.
CHIN(China), USA, BRA(Brasil), IND(India) are top 4 countries which have the largest crop field area of MAIZE.
Next, let' see RICE.
IND(India), CHN(China), IDN(Indonesia) and THA(Thailand) are the top 4 countries which has the largest crop field area of RICE.
Next, let's see SOYBEAN.
USA, BRA(Brasil), ARG(Argentina) and IND(India) are the top 4 countries which has the largest crop field area of SOYBEAN.
Last, let' see WHEAT.
IND(India), RUS(Russia), CHN(China) and USA are top 4 countries which has the largest crop field area of WHEAT.
IND(India) is one of top 4 countries for every 4 kinds of crops.
That's it. Thank you!
Next post is
To read from the 1st post,
