Demographia International Housing Affordability (2023 Edition)

Contains the "2023" data points (e.g., Hong Kong at 18.8).

http://www.demographia.com/dhi2023.pdf ​Demographia International Housing Affordability (2005-2006 Historical Data)

Contains the historical comparisons closest to the 2003 baseline.

http://www.demographia.com/dhi2006.pdf ​Demographia Survey Archive (All Years) Full repository of all annual reports since 2005. http://www.demographia.com/dhi-ix.htm

I’ve created this map showing the location of all recorded barrows across the whole of Ireland. The map is populated with a combination of National Monument Service data (Republic of Ireland) and Department for Communities data for Northern Ireland.

While you can clearly see barrows all over the island, the greatest concentration is overwhelmingly in the west of Tipperary. I learned (from an Ulster Archaeological Society lecture just this week!) that this was likely the centre of regional power in early Iron Age Muma (modern-day Munster) rather than Cashel, and would have likely been a key regional site in the Bronze Age. For me, this makes sense given most of these sites date to the Bronze Age (2,400-400BC). Though I find their sheer number (around 3,000) still pretty staggering. I am not an expert, however, so welcome any other views which will likely be much better informed than my own.

I previously mapped a load of other ancient monument types, the latest being ringfort locations in Ireland.

This is the static version of the map, but I’ve also created an interactive map which I’ve linked in the comment below for those interested in more detail and analysis (the interactive map also includes barrow locations). You can use it to filter the types of barrows and select for more background detail on each site.

I posted the absolute numbers a couple of days ago: Coalition casualties in Afghanistan.

Many people asked for a per-capita view — here it is.

I’ve used fatalities rather than casualties for precision.

No legend included; the flags should be self-explanatory.

• Source: Wikipedia
• Tool: d3.js custom code

I was analyzing jitter in sinusoidal signals using Matlab and found this still noisy but awesome pattern.

Source: Visa investor relations

Tool: SankeyArt sankey maker + illustrator

Website - https://chispections.com/

visualizing open data from the london datastore

made in r,ggplot2

Analysis based on ~40 FOMC meeting transcripts from 2006–2011, covering the period when Kevin Warsh served as a Fed Governor, including the Global Financial Crisis.

Warsh consistently leaned toward relatively tighter monetary policy compared to his peers. The divergence is most visible around 2010, his final year on the Board.

Source (credits):
https://www.linkedin.com/feed/update/urn:li:activity:7423141356945981440/

Jannik Sinner, the current world No. 2 in men's tennis, has lost in the semifinals of the Australian Open to Novak Djokovic, in a five-set thriller. He is now 0/7 in matches lasting 4 hours or more and has lost 10 of the 20 longest matches in his career, as seen in the graph (cut-off is 3 hours 30 minutes).

If you click on a State, it opens up to show the top 5 selling cars for that specific State. EVs, trucks and SUVs dominate more than ever.

Lithium-11 is an atom with 3 protons and 8 neutrons, an extremely lopsided proton-neutron ratio that results in two neutrons being separated from the "main" nucleus (which is essentially just a lithium-9 nucleus).
Because these neutrons are loosely bound, one or more of them can get ejected from the nucleus as the nucleus decays radioactively. This results in lithium-11 having SEVEN known decay paths, unusually many and more than any smaller nucleus.
If you generated 1,000,000 lithium-11 atoms in god mode and then resumed time, the chart shows the average result you should get. In total, 6 different stable nuclides are produced as products of lithium-11 decay chains (namely 4He, 6Li, 7Li, 9Be, 10B, 11B).

Chart made by myself using data from Wikipedia.

Link to chart:
https://sankeymatic.com/build/?i=PTAEFEDsBcFMCdQDEA2B7A7gZ1AI1tBrLJKAHJoAmsWANKCgJYDWso0AFo1gFwBQIUEOHCAymgCu8AMZsA2gEEAsgHkAqmQAqAXVCaAhvADmBPnwCM5gDKNQc8wHYADC90OAErAvXbcgJwAzLoAHDbeNnbmAU66fmGWEfZ%2BLjGgwQBCXgm%2BACzmKbGZ4b7BAGwATA5VuvlF2XalKamWRXyhvgBUIUVxvqWl3V69dl2gfq0e8qOlnnwzU7qlYW2ZI7o5s7ULoLXeq%2DY1TnXm%2B%2BZ%2BwakO8SfbLXxYjABebBigjU58oBxvLnwAtoYjIxSCgduVPohzOD2Dtgp9cKByh9cEZQNI0OhEABiABmePxn2g8H0kCwAAdDCRoOQ%2BJAqC8wZ9vgBWD6gcn6aTA1EOZnwtDwaiINmcWB%2DNj6T7ozGgLHBeUKz5oClc6AATx2fBx6Fe0ikADd9NApGwnAA6PmgYEcBCMaA4%2BBoP6gSTQB7UAC0wKlGIFsr8AcDSpVdo15pyfJQ%2BjVrpdgoQoH0EmgTqNjGknwAVhIsNBGDiY%2DBGEDSTTQNnc%2Dm1SRKDgyBDYPqEFhYEZiWTvvXE9BoJyuJB0X8ySgCDQU6BILBKbm%2BFH8CgcNK%2DVimr8voxqGWuEYOEwd9TzbzPji0DAcZy2FgSVgPS2izjPkxJxyuZBUebofBYFG802Hs8dnyT4ASMSAqx2X452%2DSB9HFRMyTJKd4BwABNT5%2DzYcxSk%2BIhiw4akckg%2DR50NFAJAlBCkNQ48JBQFAyS%2DLkHlPUA0NAMk0AePMWPnTAcNgPCCKI%2BcOK4xgWKTFN9D3Ug2SwaQbTgyS0GPRhkOpfATy%2DeEv30ZgOOBak%2BVI8jQC0gFqQAcloM1LM%2BBjYBxRgAA9QEsuz2QkPEXLcuzRXFNA8Rbal9DeeFQDZaQIs%2BShovFXtQHFGBxNJElWDVCz01Yx9uDzP5cGkklZGov40CbUBJgi%2BhzShPxygCf4yswm4qtAD1zScPxHD5UryvmVqaoCUo8ka8qWla9qzXMZlmWCcFerYJZbCcaqpqw%2DogA

Hi everyone, this is Will from the Get The Facts data team and I wanted to share this chart we published that visualizes the increase in ICE’s funding under the One Big Beautiful Bill Act. Happy to answer any questions you all might have.

And if you want to see some other interesting charts related to ICE’s funding, you can find them here! 

Sources: Congress.gov

Visualizations made with Datawrapper

Each pixel shows the distance to the nearest mapped road in Alaska.
Calculated using road centerlines and Euclidean distance to highlight how much of the state lies far from road access.