ismaelsow

ismaelsow OP t1_j8hf6i5 wrote

Yes the bubble size represents per capita income. I made that choice because I felt it strengthened the visual value of the correlation. But I can understand the argument for using pop size instead.

Indeed, having miles driven would be interesting, or maybe total length of the road network which might easier to find.

0

ismaelsow OP t1_j88ejs0 wrote

On which days do nations have their public holidays? I was wondering if nations tended to cluster along certain dates and time periods when it comes to public holidays. I made a calendar heatmap of the public holidays of the UN member states in 2022.
The 3 most celebrated public holidays, based on the gregorian calendar, are:
- New Year's Day (Jan 1st): public holiday in 156 countries.
- Christmas (Dec 25th): public holiday in 121 countries.
- Labor Day (May 1st): public holiday in 121 countries.

Sources:
- United Nations Member States (www.un.org/en/about-us/member-states)
- Holiday API (holidayapi.com)

Tools:
- Python for data collection
- Google BigQuery, SQL for data preparation and analysis.
- R, and RStudio for creating the chart.
- Pixelmator for the last visual touches.

P.S: new comment as first one didn't show up.

4

ismaelsow t1_j7cc22d wrote

At first glance, I thought it was a pattern that includes most "New Year's Resolutions" type of searches. But it looks like my intuition was wrong. By the way, I found some data saying that "stop smoking" is one the least popular resolutions.

​

>For 2023, the Forbes Health/OnePoll survey found some resolutions to be more common than others, with the most popular goals including:
Improved mental health (45%)
Improved fitness (39%)
Lose weight (37%)
Improved diet (33%)
Improved finances (30%)
>
>
Less popular resolutions include stop smoking (14%), learn a new skill (12%) and make time for hobbies (11%). Notably, Gen Z is more likely to prioritize improved mental health as a 2023 resolution than any other generation (50%).

https://www.forbes.com/health/mind/new-years-resolutions-statistics/

5

ismaelsow t1_j6hw64e wrote

Looks like each big drop is tied with each major conflict Russia was involved in at its borders (Georgia in 2008, Ukraine/Crimea in 2014, and Ukraine/Donbas in 2021). Pretty steep. Interesting to note that recovery to previous levels only happened after the 2008 slump, never after.

1