r/visualization

An animation of six fundamental types of integrals used in mathematics, physics, and engineering

For code click https://github.com/zombimann/Mathematical-video-animations-and-visualization/blob/main/Visual_Guide_to_Calculus_Integrals.ipynb

made a simple site that turns your music listening data into graphics

I’ve been building a site that uses Last.fm data to turn your listening history into things like charts and other visual summaries.

Mostly just wanted to make something fun for my last.fm stats lol. I’d really appreciate it if anyone will try it out and give me feedback or ideas, the site is chartwave.dev. Also, if you do enjoy the charts and graphics and stuff, please share it with friends and stuff if you’d like! Thanks!

I made the book collector/reader app called Biblio, it’s 3D shelf to keep all my ebooks and real books in it.

But I also add a feature to show how each books related in 3D constellation graph.

You can try at https://biblio.ink

Feedback and support welcome, we are making native iOS and Mac app too.

I've been building a cost of living comparison site (livewhere.co.uk) and used the data to map disposable income across every local authority.

The calculation: take the local median salary, run it through the 2026/27 tax calculator, then subtract one-bed median rent, council tax, energy, water, groceries and transport.

The result surprised me in some places. Several London boroughs actually go negative, meaning the median salary there isn't enough to cover a one-bed flat and basic bills. Meanwhile areas in rural Scotland and northern England leave you with over £1,000/month.

Obviously if you're in a couple sharing costs, or earning above the median, the picture changes.

There is also a cost of living calc if you want to add spouse and more specifics etc - https://livewhere.co.uk/tools/cost-of-living-calculator

As ever, any feedback is encouraged.

Hey everyone. I've been working on a web-based Gaussian Splatting viewer for the last few months and wanted to share some findings.

Make a viewer that works on any device, including budget phones, without plugins or native apps.

- SparkJS 2.0 for rendering
- Progressive streaming via chunked RAD files
- HTTP Range requests from Cloudflare R2
- Adaptive quality system that detects GPU capabilities in real-time

Real-world results (tested on actual devices):

Scene	Desktop (RTX 3070)	Xiaomi 15 Ultra	Redmi Note 11 (€200)
Tufia (8.5M splats)	60 fps	55 fps	40 fps
XGrids Demo (12M)	60 fps	45 fps	30 fps
50M splats	60 fps	25 fps	15 fps
100M splats	55 fps	15 fps	8 fps

What I got wrong:

1. Optimized too early. Spent weeks on custom compression before realizing `build-lod --rad-chunked --max-sh=3` already hit the sweet spot. The tooling is better than I expected.

2. Ignored the data problem. Users were uploading raw 500MB PLY files and wondering why nothing loaded. Had to build the conversion step into the workflow.

3. Assumed all phones are equal. They're wildly different. The adaptive quality system exists because of this mistake.

What I learned:

- Streaming > monolithic files. Progressive loading changes the UX entirely.
- `--max-sh=3` is the sweet spot for mobile. Higher SH bands have diminishing returns on small screens.
- The web is underrated as a platform for this. More people can click a link than download an app.

Happy to answer questions about the technical details. Live demo:
https://mirador3d.com/v/penthouse-demo

Hey people. My team we made this visualisation dashboard for CO2 Emissions from 1960 to 2024. We need to improve the dashboard and wanted feedback from you guys. I know we cannot make you to actually test the dashboard by yourself, but any feedback from watching the video would be helpful. Will you please fill out the Google form and also give suggestions in the comments to improve? I will really appreciate your help.
Thanks in advance!..

Feedback google form

The world has officially crossed a demographic point of no return - what the late Swedish statistician Hans Rosling famously called "peak child." According to the latest 2024 UN projections, global reproduction has slammed on the brakes: the number of children under five peaked back in 2017, the under-15 cohort topped out in 2021, and the under-25 group maxed out in 2024.

From an anthropological standpoint, this signals the end of the "great aggression" era. Historically, a massive surplus of restless youth has always been the raw fuel for wars, revolutions, and street violence. Right before our eyes, the planet is turning into a massive, slow-moving, conservative nursing home where safety is valued far above change.

This shift is just a precursor to global "peak population." While UN bureaucrats are still coasting on inertia, projecting growth up to 10.29 billion by the 2080s, alternative estimates look much more realistic. They expect a historical high of 9.4 to 9.6 billion by the mid-2050s, followed by a sharp drop-off.

The Higgs Mechanism, electroweak symmetry breaking, and key particle physics concepts inspired by Feynman Diagrams.

Concepts visualized are:

The Higgs Field
Spontaneous Symmetry Breaking
Gluon Fusion
Higgs Decay to Photons (H → ̳̳)
The Golden Channel (H → ZZ → 4ℓ)
Electroweak Symmetry Breaking

For more animations click www.instagram.com/craftsandengineering

For code and more click https://github.com/zombimann/Mathematical-video-animations-and-visualization/blob/main/Quantum_Physics_Higgs_Mechanism_Feynman_Diagrams.ipynb

Music attribution: Quantum - PHNKR PHONK & Donovan on TikTok music library

Check it out: https://artearnbadge.com/vibe-os/image-to-3d/ Would love to hear your feedback on the performance!

Hey everyone! I built this tool that transforms any avatar or image into a reactive 3D spectrum. It’s powered by WebGL/Three.js and supports file uploads, microphone input, and screen sharing for total reactivity. You can manipulate the camera with your mouse and tweak pixel density, backgrounds, and generators.

A physics simulation of an inverted pendulum on a cart that evaluates three distinct control architectures—PID, LQR and MPC — on their ability to maintain equilibrium and recover from significant external disturbances.

For more videos click instagram.com/craftsandengineering, or tiktok.com/@zoomzoombee

For code click https://github.com/zombimann/Mathematical-video-animations-and-visualization/blob/main/The_Great_Pendulum_Balance_Off_PID_vs_LQR_vs_MPC.ipynb

I made an infographic comparing recent Spotify Premium price hikes across several major markets, using Premium Individual monthly pricing where available.

A few things stood out:

• India had the biggest percentage increase in this sample: ₹119 → ₹139 / +16.8%
• Australia followed with A$13.99 → A$15.99 / +14.3%
• Canada just moved from C$12.69 → C$13.99 / +10.2%
• Japan also landed around +10.2%
• France, Brazil, the U.S., and the U.K. were all below 10% in this comparison

What I found interesting is how differently “expensive” looks depending on the lens. In local currency, some increases feel small. In percentage terms, the ranking changes. And after rough USD conversion, markets like India and Brazil still look relatively lower-priced compared with North America or Western Europe.

VPN users often notice how digital services, pricing, features, and availability vary across regions. Streaming subscriptions are a clear example of how the internet can feel global, while pricing is still very local.

Curious what people think: is Spotify still worth the monthly price in your country, or are you switching to Apple Music, YouTube Music, Amazon Music, local files, or something else?

Finally made a visualization website for some data I've had since 2020. Thought you guys might enjoy :), you can checkout the project here.

https://andreaslindeman.com/projects/colour-polygraph

See how different classification and clustering approaches behave on the same two-dimensional data. I used a handful of dynamically-generated toy datasets. The goal was not to make production-ready classifier, but to make model behavior visible, and allow you to play with the parameters.

https://www.danielpradilla.info/classification-visualization/compare.html

All datasets are generated synthetically in the browser. The generator creates familiar teaching shapes such as separated blobs, overlapping blobs, imbalanced classes, interlocking moons, nested rings, twin spirals, cluster islands, bridge/noisy-connector clusters, elongated clusters, outlier-heavy clusters, variable-size clusters, variable-density clusters, etc. There are controls for sample count and noise.

Charts are generated with D3

Created a modern office building visualization focused on cinematic lighting, clean architecture, and realistic atmosphere.

Workflow included 3D visualization, material detailing, post-processing, and AI-assisted enhancements for extra realism.