That is definitely not it, all the lower half (aka except mountains) of the northeast should be bright purple, like only purple, I'd say it is very hard to find two stops that are half an hour distance on foot to each other

Actually I think railway system is there, but in a lot of zones it is basically only that, regional and urban public transport is missing (except for the very colored zones), at the very least all of the north would look like the very colored zones.

P.s. Like... There is not a single village that is not connected with public transport in the north, except at most the very small ones in the middle of the mountains

Data are not good for Italy, all of the north should look like Piedmont, can't say specifically for the south but it definitely would look much better than depicted here

You clearly have very poor data sources for Italy

Who's actually old tho, the respondent sending or receiving a telegram, or the person who created the survey not knowing the existence of the app "telegram"?

I think Ukrainians might not agree on this point

I don't agree with the positioning of "zone of worry" and "depreciating focus" in specific, as they are too close to 0% in Y axis. For example San Marino seems to be in the middle between appreciating and depreciating, while in actuality it was already one of the top spenders and it even raised (even if not much) their spending, I'd say the label should be placed further down

Yeah it's difficult to notice that

Switzerland has no minimum wage, the one you are talking about is the minimum wage of one of the richest cantons.

Ratio between the two, descending order

"how to go from here to here" ah yes, how to go from a better paid and more skilled profession to a worse paid and less skilled one

Ah true, my bad then, would have still removed the dots as they create confusion, just keep the name without them

Damn, I noticed also you are advertising your platform to make graphs and such, fucking up everything... This would have been bad if done by an amateur, unreal if this is actually your work

You fucked up number of subscriber line, the x-axis is different for the two informations you are plotting, the subs number is from 2013 to 2023. Instead of plotting data from mid 2018 to 2023 for that you plotted what would have been the line for 2013 to 2023 over the other graph.

Didn't it look like an obvious mistake that the graph showed netflix 8x their subs in less than 5 year?

P.s. Now that I look at it better actually also the dots are fucked up, places around 20M higher than they should be (i guess prolly a % error), anyway means you fucked up Y axis too

"ushers and ticket readers", let me present to you "ticket reader columns" and "full height turnstiles"

Really bad division between regions, different scale in graphs makes much harder comparison between different regions.

Also the title seems to imply causation and let's be honest, the amount of pharmacists has a pretty low impact on life expectancy, the just handle out simple medicines or what the doctor prescribed, having doctors per capita would definitely be a much better comparison

Natural forest remaining would differ from net loss in tree cover as that only counts for trees present before 2001, not new trees planted?

Polarization is measured on a scale, it's not black or white, obviously not polarized means with no particular/ with low polarization, the same way one would say something is not expensive or someone is not smart, it doesn't mean they are free or 0 IQ

I fail to grasp how countries with a single party can be not polarized, I suppose the poll was not done to people in jail. Also i guess Russia is so much in the bottom left they are outside the graph.

I feel you for Gephi not saving correctly ahahah, have used it just for a project but every time I reopened a project I used filters on I had errors and had to restart all over again 🙃

Pretty interesting for those being put in the mainly American component

If the project isn't over yet I think also having size (or color) equal to ranking: betweenness would be really helpful, as it measures how much that airport is needed to connect different locations in the world through connecting flights

P.s. Also you just need to push a button to calculate it, so pretty ez

P.p.s. Also modularity as color and then check how good of a representation of continents the components are

Better visualization of centrality, both high and low, and communities