The FIA publishes a 4 Hz location stream for every car via OpenF1's free mirror (about 500,000 raw samples per Grand Prix). The feed is noisy: duplicate timestamps from primary and backup transponders, sentinel coordinates when GPS fix drops, brief teleports after a pit stop or retirement. A Python pipeline cleans the stream (sentinel removal, [...]
Original source article: https://aqalgroup.com/2024-worldwide-ghg-emissions/ The variwide diagram shows how polarized the world is in regard to GHG emissions. Data source: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database. Reference: Crippa, M., Guizzardi, D., Pagani, F., Banja, M., Muntean, M. et al., GHG emissions of all world countries – 2025 Report,…
Tool: Python + matplotlib. Data: the Surveillance Tools Open Database we maintain at predaxia.com/surveillance-tools. Each of the 35 tools is scored 1 to 5 on how well its existence and use is documented: court filings, OFAC sanctions, Citizen Lab and Amnesty forensics, multi-source reporting. A handful of vendors operate across two countries (Intellexa is North [...]
https://www.pnas.org/doi/10.1073/pnas.2602380123 This is panels d–g from a new PNAS paper on the cultural evolution of beauty standards (Boucherie et al., 2026). It compares US-based female fashion models against US women aged 17–30 from the NHANES health survey, using Relative Fat Mass (RFM), an estimate of body-fat percentage derived from height, waist circumference, and sex. What [...]
I’ve been keeping a daily journal for 1272 consecutive days. About halfway through that period, I started adding a simple “day rating” (1–10) to quantify my overall experience. That gives me 581 days of rated data. Some stats from the rated portion: * Entries with ratings: 581 * Average rating: 7.42 * Median rating: 7 [...]
Visualized 2008–2024 CIHI data showing median wait times for Ontario's 3 most common elective surgeries: 🔵 Cataract Surgery – 2019: 63 days → 2020: 152 days → 2024: 71 days ✅ 🟡 Hip Replacement – 2019: 77 days → 2020: 141 days → 2024: 88 days ⚠️ 🔵 Knee Replacement – 2019: 85 days → [...]
I’ve labeled winners of major championships as well as the players with the top ranked distances from this year. by jeffrowl
Tools Used: Canva App Sources: https://agenciadenoticias.ibge.gov.br/en/agencia-news/2184-news-agency/news/43602-2022-census-catholics-remain-in-decline-protestants-and-persons-with-no-religion-increase-in-the-country https://sidra.ibge.gov.br/pesquisa/censo-demografico/demografico-2022/amostra-religioes https://www.ibge.gov.br/en/statistics/social/labor/22836-2022-census-3.html Methodology: All…
Was wolltet ihr eigentlich als Kinder werden? Ich kann mich da nur noch sehr vage dran erinnern, aber eine der ersten Ideen war: Chef werden. Kindliche Naivität, aber wenn man im Fernsehen nur sieht, wie die ihre Zeit gestalten und eigentlich den ganzen Tag mit Leichtigkeit Entscheidungen treffen, dafür maximal viel Geld bekommen und sonst …
Text below is from original post in r/himym here where the 2nd and 3rd charts are. Thanks to u/EnvironmentalToe8944 for the suggestion for the 1st chart. Full dataset as a csv in this comment here. ~~~~~ Source: Me watching each episode on Hulu a few months ago. Some of my favorite findings: The first character other [...]
First graph: takes all 25-34 year olds of that country with a 4-year college degree or higher, and looks at the female:male split. Second graph: per-gender educational attainment percentages for 25-34. Notes Initial thought was, maybe all these countries just have a lot of females aged 25-34? But the World Bank (2023) says all these [...]
R package ggplot2 code is here Data from Hadley center is here by cavedave
I compared under-5 mortality rate (per 1,000 live births) between the United States and China using World Bank data (2010–2024). China shows a strong decline from 15.7 to 5.7, while the United States decreases more gradually from 7.3 to 6.5 over the same period. Despite different starting points, both countries continue a downward trend, with [...]
I compared life expectancy at birth between the United States and China using World Bank data (starting from 2010). In 2010, the US had a clear lead of about 3 years over China. Over time, China steadily improved while the US grew more slowly and saw a temporary decline during the COVID-19 period, where life [...]
Survey results: 80% said "follow your passion" is better career advice than "prioritize money." Respondents who endorsed "follow your passion" also reported significantly higher career satisfaction themselves. This relationship was stronger among women. Report and raw data file at: https://openpublicpolls.com/career_advice_satisfaction/ by Either_Issue_6510
Who’s dying for your freedoms? [OC] by tik_
https://www.pnas.org/doi/10.1073/pnas.2602380123 by ExcellentBalance6865
[OC] As a Brit living in the US, I’ve always been curious about how Americans give their children the same names as some British counties (lots of Kents and Devons) but not others (no baby Middlesex or Leicestershire). So I mapped all 145 years of the Social Security Administration’s baby name data! by Stargrazer82301
I asked GPT-4.1 to pick a random number between 1 and 100. 10k times. This post is an "AI remix" of a very popular Reddit post here on r/dataisbeautiful where people were asked the same question: https://www.reddit.com/r/dataisbeautiful/comments/iiafkd/oc_i_asked_100_people_to_pick_a_number_between/ People also tend to not be very good random number generators. I wanted to see if an AI [...]
Long-time MAS*H fan, and I had a theory that the "special" episodes… the Dear… letters, the experimental format ones like The Interview and Point of View, and the big milestones like Abyssinia Henry, were disproportionately better rated than regular episodes. So I pulled the data to find out. Built in Python using the official IMDb [...]
Simple data analysis using Python and the IMF (International Monetary Fund) database. I used 3 different datasets: CPI._T for inflation (y-axis) WEO.GGXWDG_NGDP for debt (x-axis) WEO.PPPSH for relative economy size (circle radius) The relative sizes of the country economies are also used as weights for the trend line fit. by aaeberharter
Tools Python · geopandas · pandas · matplotlib · PIL/Pillow. No proprietary software, no paid data. Colors Custom 11-step sequential palette running warm-to-cool across the construction era range — dark brick red for pre-1900, amber for the Craftsman peak, yellow-green for postwar, teal through blue for late 20th century and contemporary. Output Rendered at 300 DPI, 20×25 inches. [...]
I created this infographic in Figma and spent 4.5 hours on it. Data source: https://www.globalpetrolprices.com/electricity_prices/ by yatuta_infographics
Over the past ten years, the climate “Alarmed” (the group most worried about global warming and the most likely to support and engage in pro-climate action) have grown more than any other audience, according to Yale researchers by ILikeNeurons
The recent piss poor ending of The Boys and Stranger Things made me think "Is this every TV show's fate? Start strong and then crash spectacularly?" So I fired up Python and I scrapped IMDB for TV shows from 2019-2026. Blue and red graphs: It's based on whether the second half of the final season [...]
We had twins in 2021. The 1st year was rough – we had no family support and it was hard to get through. Also the babies were born small (less than 5 percentile for weight, both of them) and we were VERY meticulous about keeping feed records. This continued for 9 months at which point [...]
Created with the Superstore dataset using Tableau. Hi! I’m mostly seeking advice on whether to include both date related filters, or to only include either months or years. I’m also seeking on how to make those filters, as I think they look clunky, as well as the rest of the visualization more aesthetically pleasing. by [...]
This map shows the distribution of international tourist stays in France for 2025, excluding the Paris region (Île-de-France). International stays by region (%) – Provence-Alpes-Côte d'Azur: 19.2% – Auvergne-Rhône-Alpes: 14.6% – Occitanie: 14.0% – Nouvelle-Aquitaine: 13.6% – Grand Est: 9.4% – Bretagne: 5.6% – Normandie: 5.1% – Hauts-de-France: 4.5% – Bourgogne-Franche-Comté: 4.4% – Pays de [...]
I built an interactive website that displays every billionaire's wealth as colored rectangles where each pixel represents $1,000. To put into perspective how much money that actually is, I compared it to some familiar things and added examples of what global problems could be solved with that amount. by just4fun-94
by SashSail