What games "only play correctly on obscenely expensive hardware"? According to the top google result, the most demanding game is cyberpunk 2077. It doesn't require a 40xx, 30xx, or 20xx, or even a 10xx series card - it requires a gtx 780, and recommends a 1060. Even the recommended card series was released the better part of a decade ago.

And there are other comments here that they can run pretty much everything fine on a pre-10xx series card: https://www.reddit.com/r/technology/comments/115a172/ultraenthusiast_hardware_is_strangling_pc_gaming/j94xshs/?utm_source=share&utm_medium=ios_app&utm_name=iossmf&context=3

https://youtu.be/sceYFb7yJa4

But how would that be more important than housing prices as a multiple of income? Whether other countries went up more or less, if housing was a lower multiple of income in Singapore, would relative increases or decreases be more important to you? I've added a source in my parent comment as well.

Per the study above, Singapore housing costs were 4.5 times income, whereas another city had housing that was >40 times income.

If housing started out costing 1% of your income, then increased to 6.5% of your income, that would show as 6.5 in the OP chart. Whereas if another theoretical city had housing costs go from 45% of your income to 60% of your income, that would show up as only a 0.33 increase on the OP chart, or ~1/20 as much of an increase, even though the final cost was ~10x higher in the second location, and even though the absolute change was 3x as much. But you can't tell any of those things when you're only shown relative increases of 6.5x and 0.33x.

why do you say that? What this chart shows is price change relative to an arbitrary starting point. It does not show how affordable is relative to income, which is the important thing.

Edit:

>In the study, housing in Singapore is the most affordable, with a price-to-income ratio of 4.5 for HDB units. As mentioned earlier in the report, more than 80 percent of Singaporeans live in HDB units (figure 8). Although the price-to-income ratio for private homes is high at 13.3, private homes represent less than 20 percent of all housing stock and cater to wealthy Singaporeans and foreigners. ...

> [Singapore's] high homeownership rate of nearly 90 percent and the low cost of government housing units (known as HDB units) directly stem from the government’s consistent commitment and policies to provide affordable and good-quality housing to its citizens.

Source: Urban Land Institute Asia Pacific Home Attainability Index published 2022-08-25 (PDF page 16). "This report analyses housing attainability in 28 cities in five countries: Australia, China, Japan, Singapore, and South Korea."

Thank you for clarifying - the headline implies something incredibly different.

Regarding the price, another commenter said the drone and parts shown add over $500: https://www.reddit.com/r/gadgets/comments/yn87zd/researchers_create_a_drone_that_can_see_through/iv7uq2p/?utm_source=share&utm_medium=ios_app&utm_name=iossmf&context=3

Interestingly, Thailand's most popular convenience stores are almost the same as Japan - https://images.app.goo.gl/jJK1iijCruhS8P5GA

Interesting chart, although it’s very difficult to see the number at the end for advanced economies. Perhaps a short horizontal line with the name next to it on the right as a legend could be a solution.

I'm not an expert in this chart type, but perhaps using hue, saturation, or lightness changes over time could help? Or arrows? Or changing circle or line size? (Edit: to be clear, I am not op.)

If your goal is just better content, rather than requiring cross-posts, likely more helpful could be instructions to viewers and creators on topics like:

• Please upvote data presented beautifully, and downvote anything not that (duh)
• Are there ways to make this data easier to quickly understand
• Principles of data visualization

Yes, or if the inflation-adjusted cost per calorie has gone down over time (such as due to increased yields) it could actually be closer to deflation than inflation? I suppose presenting it in terms of calorie output instead of constant dollar output would be better in that way. But also showing inflation-adjusted cost per calorie over time would be interesting as well.

Even if it’s only around a month but not exactly one month, this format would still be best, as this format would show such data in a spiral shape? or what format do you think would work better/best?

Your explanation of why this format could make sense is excellent - before hearing it I had thought it might not.

After seeing the results, do you feel like this format is useful in that it partially disproves your original idea, as it seems like your high/low points seem to differ a lot from each month to the next - middle third, first third, last third?