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In this post, I will playaround with OECD Nuclear power plants data with R.
OECD Nuclear power plants data is defined as the number of nuclear units in operation as of 1 January 2019. It is measured as a number.
I download data from OECD web site,
https://data.oecd.org/energy/nuclear-power-plants.htm
I got below CSV file.
It is aprety small data set.
Anyway, I load this data into R.
Firstly, I load tidyverse package, it is very useful package for data analysis.
Then, let's load data into R with read_csv() function.
We see this dataframe has 21 roes and 7 columns.
Using glimpse() function, we can see those data strutcture.
We need LOCATION and Value only because other columns have same value.
Thus, I only select LOCATION and Value and change column name.
Let's visualize data with ggplot() + geom_col().
I know OECD means OECD Total and OECDE means OECD Europe, they are not country.
So, I deleted them using filer function.
Again, let's visualize data.
All right. I see USA has the most many nuclear power plants, France has the 2nd most and Japan has the 3rd most.
That's it today. Thank you!
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