OECD Gross pension replacement rates data analysis 4 - Visualization Histogram and Boxplot using R. There is not much difference between 2014 and 2020.

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This post is following of the above post. In this post I will analysis difference between 2014 and 2020.

First, I make a data frame to calculate difference between 2014 and 2020.

filter() function makes observations for 2014 and 2020 only.

pivot_wider() function transform a data frame from long format to wide formant.

rename() function makes a new variable name.

Then, mutate() function makes a new variable, "diff", which is the replacement rates between 2014 and 2020.

I see some locations have negative value, somes have positive value.

Let's see summary statistics with summary() function.

Oh, there are some NAs. I will delete NA rows with na.omit() function.

I see mean diff is -1.012. Let's see a histogram of "diff".

Almost observations are at around 0.

Boxplot shows median value is near 0.

Let's see there is gender difference.

I don't see there is much difference.

Let's use boxplot too.

In the above boxplot, I don't see much difference neither.

So, from the point of visualization view, I don't see the difference between 2014 and 2020, by gender, by overall.

That's it. Thank you!

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To read from the first post,