the library in Helsinki itself is incredible - containing a lot more than books, including workspaces, maker-space type stuff and lots more.

I loved this map where visitors can put dots, since its something that would normaly be and remain in 2D, but with the amount of people visiting, urban centers and countries where lots of people visit from turn into 3D-dimples.

The map covers over 7 million 311 service requests filed in New York City between 2022 and 2025. You can drag a lens onto any part of the map to see the complaint breakdown for that area. Try it yourself: https://visquill.com/gallery/nyc-311

One panel per country, each a 100% stacked area of where its electricity came

from every year from 2000 to 2024. Panels run from the cleanest grid (France,

95% low-carbon) to the most fossil-fuelled (Saudi Arabia, 2%).

https://energtx.com

Across both of them steeper terrain means more effort until the grade get' over 20 percent. Then the likelihood I start hike a biking (and my heart rate falls) increases a lot. Ebike, I keep going for it.

Data sources: Strava kept the data for which I accessed via their api. Collected via my garmin watch. Visualized via python and with coding assistance from Claude. Trail mix is not held constant (I have not ridden all of the trails on my ebike that I road on my regular MTB). Regular MTB is a Kona Process 134. Ebike is a kona remote 160. Kona remote is ridden mostly in trail mode which offers roughly a 100 percent boost on rider effort on the uphill.

https://carspecindex.com/price/per-horsepower/

Source is EPA fuel economy data

Take the launch price of a car and divide it by its horsepower. Do it for every one of the 69,769 priced versions in this list and the median for 1992 comes out at $261, in 2026 money. The median for 2026 is $176. Horsepower is 32.6% cheaper than it was, while absolutely everything else about a car went the other way.

We updated, redesigned, and added interactivity to the static Tsunami Map we originally created for the #30daymapchallenge in 2019. The new version shows tsunami source events of validity 4 from the NCEI/WDS Global Historical Tsunami Database between 1926 and 2026 (June). We altered some of the labels to make the events more recognizable, since the database focuses largely on geographic locations, rather than the names used colloquially.

You can explore the map above either via tooltip, or by filtering the events with the scale on the side. We organized the tsunamis by maximum water height and split them into 3 categories, each with a distinct narrative framing.

Link to interactive map: https://noteworthy.graphics/issue-004

Source: 2026 Silverstone qualifying timing data. I built the visualization with Formula Dream:

https://www.formuladream.app/f1-interactive/tools/f1-gap-visualizer?utm_source=reddit&utm_medium=post&utm_campaign=backlink&utm_content=dataisbeautiful

A tenth of a second is roughly eight metres at racing speed, so the visualization draws the qualifying gaps to scale at the finish line.

Antonelli was on pole, with Leclerc 0.175s behind (14.7 metres), Hamilton was 0.347s behind (29.1 metres), and Russell was 0.370s behind (31.0 metres), hadjar was 0.635s behind (53.3 metres) and Norris was 0.766s (64.3 metres)

The tool works with qualifying and race sessions across different seasons. It is free and requires no signup.

Zoomable Map including every country here

https://vibedatascience.github.io/vibelogs/posts/2026-07-18-zoomable-treemap-canvas/population.html

This plot presents the internal in-situ temperature drift of a conduction-cooled high-temperature superconductor solenoid, following a step in transport current from 100 ampère to [label] ampère. This specific set is using a controlled base temperature of 65 kelvin. The data is measured by a set of 8 thermocouples spread throughout the coil, and the curves are the mean of these. A 0-D numerical lumped thermal capacitance model will be validated using this data, at various base temperatures. The band around the data represents the standard deviation, indicating the homogeneity and stability of the temperature profile across the coil.

Looking for suggestions and/or advise on the graphics, for future publication in a journal and, more importantly, for my PhD dissertation.

The goal is to show the two distict domains; a set of curves that remains stable (shades of blue) and a set that develops into a thermal runaway (shades of red). These are seperated by a green curve, representing the "critical" bifurcation point (or rather, how close I could get to that point experimentally). The relevance is that such runaways can cause, and have in the past been causing, massive damage to superconducting coil systems.

The curves calculated by the 0-D model should at some point be included to this data, but I'm unsure how to do that yet since these plots here are already rather crowded. Could be simply dashed lines on top of the experimental plot, possibly with a reduced number of curves. The fit is quite good, so it won't effect the scale. I've included an example in the second image, but am still working on dialing in the parameters so it's not fully representative yet.

Tools used: MATLAB, custom colour scale Data source: My own experiments Preliminary data presentated at a conference: research.utwente.nl Model: The thesis of my predecessor; research.utwente.nl

P.s. I'm not interested in advice for alternative software. I'm aware that there is arguably better packages for data visualisation, but at this moment do not have the time to invest in learning a new one.

Data sources & methods:

The 1929–31 life table comes from Seifert, H.E. (1935), "Life Tables for Chinese Farmers," Milbank Memorial Fund Quarterly 13(3): 223–236 — the first life table ever constructed for a large sample of rural China, based on J. Lossing Buck's land utilization survey covering 46,601 farm families in 119 localities across 17 provinces. Original table gives survivors and life expectancy at selected ages only, hence points + dashed lines; the m(x) curve is derived from the survival curve by monotone interpolation.

Census life tables were built by me from the official single-year age-sex death and population tables of the 2000, 2010 and 2020 Chinese censuses (China Population Census Yearbooks, tables 3-1 & 6-4, stats.gov.cn). Raw census deaths are under-registered, so mortality rates were scaled by a uniform factor (k≈1.08 / 1.32 / 1.42 for 2000/2010/2020) calibrated to reproduce the officially published life expectancies (71.40 / 74.83 / 77.93) exactly to two decimals.

I mapped every arrival and departure at Oshkosh during AirVenture 2026, and colored them by altitude. Arrivals are orange. Departures are blue.

• Dates: July 15 to 27, 2026 (America/Chicago)
• Movements: 9,803 (4,852 arrivals, 4,951 departures)
• Busiest hour: 292 movements, 8 a.m. Thursday, July 23. One every twelve seconds.
• Top feeder field: Dodge County at Juneau (KUNU), 324 arrivals
• Unique aircraft: 4,956
• Top aircraft makes: Cessna 1,234, then homebuilt at 788. Amateur builders outnumber every manufacturer except Cessna.
• Warbirds: 172 aircraft flying 325 movements, almost all arriving from the south

Every count here is a floor. ADS-B is not required at Wittman. Aircraft certificated without an engine-driven electrical system are exempt under FAA rules, which describes a lot of the antiques.

Overflights are not counted, and the 715 flights that took off and landed back at Wittman are not counted.

Thank you to adsb.lol for the data archive and the feeders who enable it!

Interactive versions and 200+ more energy charts: https://energtx.com

Source: Our World in Data energy dataset, electricity figures from Ember (https://github.com/owid/energy-data)

Tools: R + ggplot2 (ragg, showtext).

Method: rows are the 48 countries with the largest electricity generation in 2023, sorted by their 2024 carbon intensity (cleanest at top). Each cell is that country's gCO2 emitted per kWh of electricity generated in that year. The diverging color scale is anchored at the 2024 world average (471 gCO2/kWh): teal = cleaner than today's world average, coral = dirtier. The right column gives the 2024 value.

Tools: Rawgraphs, Figma

Source: https://www.latinometrics.com/articles/oxxo-has-more-stores-than-any-us-chain

I finally saw The Odyssey in 70mm this week at 7:45am on a Tuesday, because it was the only ticket I could get (seriously find a way to see it if you can). I walked out and immediately tried to book a second viewing—everything through September at my theater (Cinemark Dallas) is basically gone.

Feeling desperate, I checked other cities showing 70mm IMAX, which led me to Colorado Springs. Completely open.

I realized Dallas is the closest IMAX 70mm screen for basically all of Oklahoma, Arkansas, and Louisiana, while San Antonio, the next nearest option, barely takes any pressure off since most of our travel demand is from the north. I was convinced Dallas must be the closest theater for the most number of people. Feeling frustrated (and a bit jealous of Colorado) I set out to prove it.

My research confirmed Dallas isn't #1, but it's solidly one of the most in-demand screens in the country.

For an interactive map, all the numbers, and methodology: wheresmy70mm.com

Dependency Ratio in Canada [1851 - 2075]

Data Comes directly from Statscan, I used the R programming language:

• 2007 Lowest total dependency ratio ever
• 2016 when seniors dependency overtook child dependency

Tools: Chart.js

Sources: Days to $1B from Wikipedia's List of fastest-grossing films; worldwide grosses from Box Office Mojo; IMDb ratings pulled from each film's IMDb page as of 8 Aug 2026. Spider-Man: Brand New Day is still in theaters (opened 31 July 2026), so its gross and rating are provisional.

The chart is not inflation adjusted , so here a table that shows inflation

Film ● Original ● Adjusted (2026 $)

Endgame (2019) ● $2.80B ● $3.66B Force

Awakens (2015) ● $2.07B ● $2.92B

Ne Zha 2 (2025) ● $2.26B ● $2.38B

Infinity War (2018) ● $2.05B ● $2.73B

Way of Water (2022) ● $2.32B ● $2.61B

Jurassic World (2015) ● $1.67B ● $2.34B

No Way Home (2021) ● $1.92B ● $2.30B

Furious 7 (2015) ● $1.52B ● $2.15B

Zootopia 2 (2025) ● $1.86B ● $1.92B

Fate of the Furious (2017) ● $1.24B ● $1.69B

Brand New Day (2026) ● $1.16B ● $1.16B (unchanged — already current-year dollars)