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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!
Next post is,
To read from the first post,
