[OC] Demographic transition at a logarithmic scale Posted by thedylanackerman Tags:DataData Is BeautifulDataIsBeautiful 10 comments Data : World Bank data from 1960 to 2023 including crude birth and death rates as well as population (bubble size) Tools : R, specifically ggplot and gganimate Yep, this data is beautiful I want to know about that Middle Eastern/North African blob that gets <1% Death rate circa 2009. What’s going on there, and where is that? A fascinating data visualization. Thanks! I don’t think the log scale works well for this. Countries reaching the low numbers are flying around quickly. Then again, if I saw it in linear I might think “This would work better in a log scale”. In such cases I think log(x + c) can be a good compromise. Very interesting but moves kindof fast, and then repeats without a break. What are the rates expressed in? It seems to say % but that can’t be since nowhere has a 10% death rate or 50% birth rate per year. Keep watching until 2019/2020, and then see every bubble take a jump to the right. Wonder what happened there? :3 I’m getting a “This video cannot be played.” error. India just slowly crawling down and crossing median is satisfying This is mesmerizing, thanks for sharing OP! Comments are closed.
Data : World Bank data from 1960 to 2023 including crude birth and death rates as well as population (bubble size) Tools : R, specifically ggplot and gganimate
I want to know about that Middle Eastern/North African blob that gets <1% Death rate circa 2009. What’s going on there, and where is that?
I don’t think the log scale works well for this. Countries reaching the low numbers are flying around quickly. Then again, if I saw it in linear I might think “This would work better in a log scale”. In such cases I think log(x + c) can be a good compromise.
Very interesting but moves kindof fast, and then repeats without a break. What are the rates expressed in? It seems to say % but that can’t be since nowhere has a 10% death rate or 50% birth rate per year.
Keep watching until 2019/2020, and then see every bubble take a jump to the right. Wonder what happened there? :3
![[OC] Demographic transition at a logarithmic scale](https://www.europesays.com/wp-content/uploads/2025/01/v2ay5st7ylfe1-1920x1024.gif)
10 comments
Data : World Bank data from 1960 to 2023 including crude birth and death rates as well as population (bubble size)
Tools : R, specifically ggplot and gganimate
Yep, this data is beautiful
I want to know about that Middle Eastern/North African blob that gets <1% Death rate circa 2009. What’s going on there, and where is that?
A fascinating data visualization. Thanks!
I don’t think the log scale works well for this. Countries reaching the low numbers are flying around quickly.
Then again, if I saw it in linear I might think “This would work better in a log scale”.
In such cases I think log(x + c) can be a good compromise.
Very interesting but moves kindof fast, and then repeats without a break.
What are the rates expressed in? It seems to say % but that can’t be since nowhere has a 10% death rate or 50% birth rate per year.
Keep watching until 2019/2020, and then see every bubble take a jump to the right. Wonder what happened there? :3
I’m getting a “This video cannot be played.” error.
India just slowly crawling down and crossing median is satisfying
This is mesmerizing, thanks for sharing OP!
Comments are closed.