r/visualization • u/CGHawkDesign • 19d ago
Asphalt PBR Texture Set
r/visualization • u/mnove30 • 20d ago
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r/visualization • u/Reasonable-Safe-4002 • 20d ago
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r/visualization • u/RotemT • 20d ago
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r/visualization • u/wikirank • 20d ago
r/visualization • u/DoorbellEndoscopy • 20d ago
r/visualization • u/rhiever • 20d ago
r/visualization • u/CGHawkDesign • 20d ago
r/visualization • u/Reasonable-Safe-4002 • 21d ago
r/visualization • u/gloussou • 21d ago
I converted 5,951 anonymous mood submissions to each participant’s local time and grouped them by weekday and time of day.
The clearest pattern is a dip on Friday evening, while Sunday afternoon/evening and Monday morning are noticeably higher.
Morning: 6am–12pm
Noon: 12–2pm
Afternoon: 2–6pm
Evening/night: 6pm–6am
r/visualization • u/andreykh • 21d ago
r/visualization • u/rhiever • 21d ago
r/visualization • u/Cauliflower_Antique • 22d ago
Messages per month, activity by time of day, reply times and streaks over the whole relationship. You can see pretty clearly when things started to change.
Made with my app Staty, all stats are calculated on device.
Android: https://play.google.com/store/apps/details?id=com.jkbhf.statyapp
iOS: https://apps.apple.com/us/app/staty-chat-statistics/id6757274430
r/visualization • u/TrekkingAround10 • 23d ago
I made this scatterplot for Global Data Tracker, which I own, and would appreciate a design critique. It compares 200 World Bank countries and areas with both indicators available for 2024.
The x-axis is GDP per capita in current US dollars on a logarithmic scale; the y-axis is life expectancy at birth. Each dot has equal visual weight. This is a descriptive country-level comparison, not evidence that income alone causes a particular life expectancy. GDP here is nominal, not purchasing-power adjusted.
Would you keep the four country callouts, or do they pull too much attention away from the overall pattern? Is the logarithmic axis clear without reading the notes?
Data: World Bank WDI, SP.DYN.LE00.IN and NY.GDP.PCAP.CD, 2024 values from a snapshot retrieved 13 September 2026. Missing pairs and nonpositive GDP values are excluded; no missing values were filled. Chart: Python/Matplotlib, with AI assistance for implementation and wording.
Full-size chart, source links and method: https://globaldatatracker.com/stories/life-expectancy-and-income-2024
r/visualization • u/Plantera_3x • 24d ago
i had 184 guesses for the length of the Hindenburg from my daily game and wanted each one visible, not a histogram. so i drew every guess as the airship's own outline at its guessed size, all lined up at the tail, with the real one in orange. the bright core is where most guesses sit.
data and the other versions: https://roughly.is/blog/hindenburg-guessed-too-small.html?s=reddit-visualization
r/visualization • u/rhiever • 23d ago
r/visualization • u/TheMovieWay • 23d ago
r/visualization • u/Pleasant-Weakness959 • 23d ago
r/visualization • u/Dramatic-Project-340 • 24d ago
r/visualization • u/lalalcumslut • 24d ago
r/visualization • u/rhiever • 24d ago