Paris 2026 municipal election, arrondissement by arrondissement. Each circle is one arrondissement, and the winning side sits on the outside ring: left where the left leads, right where the right leads. #30DayChartChallenge #dataviz #Paris #elections

Paris 2026 municipal election, arrondissement by arrondissement. Each circle is one arrondissement, and the winning side sits on the outside ring: left where the left leads, right where the right leads. #30DayChartChallenge #dataviz #Paris #elections

Day 5 of #30DayChartChallenge — data art.
Each spiral is a country. Its length = years in school. From barely 1 to 14. Some barely get started. Others unwind freely.
That gap is what this is about.
Same data as Day 3 — UNESCO via Our World in Data.
#DataViz #RStats #Education

A series of three horizontal boxplots (facets) comparing CO2 emissions of car brands sold in France in 2015, categorized by engine type: Unleaded petrol, Diesel, and Hybrid.

Day5 #30DayChartChallenge, today data on CO2 emissions of cars saled in France in 2015. The "experimental" part for me is that I used Python this time.

code here : github.com/MathieuGenu/...

#rstats #dataviz

Data visualization showing that 75% out of 1,150 workers polled (and 956 using AI) who said their AI-generated output was at least 80% value added

I teach a graduate #dataviz class; every term, we do a #MakeoverMonday challenge. This week’s theme is #AI “workslop”. I recalculated the data to emphasize value-add and account better for the 17% of respondents who don’t use AI. You can learn more at makeovermonday.co.uk

#30DayChartChallenge Day 3 : Mosaics

All the #Minecraft blocks but vertically-sorted by presence of Red, Green, and Blue (RGB coding, from 0 to 255)

All 3 contain the exact same blocks

Top = color is high/full
Bottom = color is low/absent

(as for left-right, it's random)

#Rstats #dataviz

Mosaic chart showing population age structure (0–14, 15–64, 65+) for the top 10 economies in 2024. India and China have the largest populations and relatively younger age profiles, with over two-thirds in the working-age group. The United States shows a more balanced distribution, while Japan and Germany have the oldest populations, with a high share aged 65 and above. Each bar represents 100% of a country’s population, with total population in millions labeled alongside.

#Day3 of the #30DayChartChallenge: Mosaic
Fixing the mosaic chart, as the earlier version was effectively a stacked bar chart.
👥 Population Age Structure — Top 10 Economies
Built with #ggplot
#DataViz #population

Slope chart showing annual sales in USD billions for Ozempic and Mounjaro between 2021 and 2025. Ozempic, shown in blue, grew from $5.1 billion in 2021 to $18.5 billion in 2025. Mounjaro, shown in red, launched in 2023 and reached $23.0 billion in 2025, overtaking Ozempic. Source: Novo Nordisk and Eli Lilly financial reports.

#Day4 of the #30DayChartChallenge: Slope
Ozempic vs Mounjaro sales ( 2021 - 2025 )
#DataViz #ozempic #mounjaro

The ggauto Project, Transformers in Action, MIT Deep Learning Course | Issue 82 A weekly curated update on data science and engineering topics and resources.

My weekly newsletter is out! 👇🏼

This week's agenda:
🔹 Open Source of the Week - the ggauto project
🔹 New learning resources
🔹 Book of the week - Transformers in Action

ramikrispin.substack.com/p/the-ggauto...

#ai #deeplearning #rstats #datascience #dataviz

library(tidyplots) energy |> tidyplot(y = energy, color = energy_source) |> add_donut()

This is how you can generate donut charts in #tidyplots 🍩

#rstats #dataviz #phd

📊 #30DayChartChallenge | Day 5: Experimental

Wasn't sure what to visualize today, so I went back to the bread and butter of genomics: Sequencing Depth vs. Statistical Power. 🧬💻

#Bioinformatics #Genomics #DataViz #Biomath #Science #rstats

Dumbbell chart titled "Mind the Gap: Who Smokes More?" showing the gender gap in smoking for 8 countries. Each row has two dots connected by a line — orange for male, pink for female. Indonesia has the widest gap at 58.2 percentage points with 59.3% male and 1.1% female. China follows at 42.7 pp. Germany has the smallest gap at 2.1 pp. France shows 3.2 pp with both genders smoking around 30%. Countries are sorted by gap size. Data from WHO, 2025.

Day 05 #30DayChartChallenge — Experimental

Mind the gap.

Indonesia: 58 pp gap between male and female smoking. France: just 3 pp. very different cultures.

Data: WHO via World Population Review
Built with R + ggplot2

#DataViz #RStats

That feeling when you’re battling against the headwind and others breeze past you without even pedalling.

#30DayChartChallenge | Day 5 - Experimental #dataviz 📊

Horizontal stacked bar chart showing population age structure (0–14, 15–64, 65+) for the top 10 economies in 2024. India and China have the largest populations and relatively younger age profiles, with over two-thirds in the working-age group. The United States shows a more balanced distribution, while Japan and Germany have the oldest populations, with a high share aged 65 and above. Each bar represents 100% of a country’s population, with total population in millions labeled alongside.

#Day3 of the #30DayChartChallenge: Mosaic
Catching up over the weekend!
👥 Population Age Structure — Top 10 Economies
Built with #ggplot
#DataViz #population

Chart: Title: Democratic non-participants Subtitle: A increasing amount of people in Denmark don't participate in the elections. The graph shows a increase in people who don't vote at elections for the parliament. There's a clear increase in people who can't vote from about 1% in the 70's to +12% in 2026, while the people who can but don't fluctuates a bit. Source is Danmarks Statistik.

More than 25% of people living in Denmark didn't or couldn't vote at the 2026 election. A new record, again. #dataViz #30DayChartChallenge

A map with locations from the One-Star LTC Map dataset. Please visit the link for full details.

One-Star LTC Map
Source: https://data.nj.gov/d/han8-kybn
#nj #data #dataviz

Eulerr diagrams set up in a matrix arrangement showing diet overlap of predatory fishes in Florida. The size of the circle shows the size of the diet (scaled to the max diet size so the circle size is the same across plot for the same species). The overlap shows the proportion of prey shared. Very little overlap among species but that is a data shortage issue.

#30DayChartChallenge #Day5 – Experimental
Diet overlap of some predatory fishes in Florida.
I've wanted to make something like this for a while. Admittedly, the data is not the best, but what I could pull together for the challenge. The concept is what I want to present.
1/3

#DataViz #Rstats

An experimental chart titled "Cold months fill the buses" with the subtitle "Bus ridership vs. temperature in Uppsala." Twelve center-aligned bars, one per month, are stacked vertically and arranged so the year wraps from June at the top through January in the middle to July at the bottom. Because the bars extend symmetrically from a central axis rather than from a baseline, the chart forms a leaf-like silhouette. Bar length encodes monthly bus ridership and bar color encodes average temperature: orange for warm months and indigo-blue for cold ones. Winter months such as January are longer, showing that Uppsala residents ride the bus more when it is cold. Source: UL and SMHI, 2024–2025 averages

#day5 of #30DayChartChallenge, Experimental

code: github.com/gkaramanis/3...

#RStats #dataviz

Barcode strip plot showing the carbon intensity of electricity (gCO₂ per kWh, 2020–2023 average) for countries grouped by World Bank income classification. Each vertical tick represents one country. A taupe band marks the middle 50% (IQR) and a white-filled dot marks the group median. Groups are sorted from lowest to highest median: High income (250 g), Low income (256 g), Upper middle income (454 g), and Lower middle income (481 g). A dashed vertical line marks the global median. Notable outliers include Norway and Poland (High income), Ethiopia and Syria (Low income), Albania and Turkmenistan (Upper middle income), and Nepal and Uzbekistan (Lower middle income). Within-group variation is wide across all four groups, often rivaling differences between groups.

📊 #30DayChartChallenge 2026 – day 05
.
Comparisons | Experimental
.
🔗 : stevenponce.netlify.app/data_visuali...
.
#rstats | #r4ds | #dataviz | #ggplot2

Gráfico polar de mancuernas (Dumbbell chart circular) titulado '¿La Expansión Energética?'. Muestra el cambio en el consumo de energía per cápita del G20 entre 2000 y 2022 dispuestos en círculo. Destaca la larga expansión hacia el exterior de países como China e India (aumento masivo de consumo), frente a la contracción hacia el centro de países europeos como Reino Unido o Alemania.

Día 5 del #30DayChartChallenge: Experimental 🌀. Consumo de energía per cápita en el G20. Un Dumbbell chart en coordenadas polares para ver quién se expande (ej. China) y quién se contrae (ej. Reino Unido) desde el 2000. #dataviz #rstats

Cartogram of the change in Plasmodium falciparum malaria incidence across African countries between 2023 and 2024, where each country's shape is scaled to the absolute magnitude of change and colored pink for increases or purple for decreases. Most countries experienced modest shifts while Eritrea, Madagascar, Mauritania, and Zimbabwe stand out as having the largest changes in either direction.

#30DayChartChallenge #Day5, Comparisons - Experimental

Following up on yesterday's chart on incidence rates across African countries between 2023 and 2024, here's a cartogram showing the change.

Code: github.com/rajodm/30Day...

#dataviz #rstats #ggplot2

#Day5: Experimental
How your sambar tastes.. depends where you are.
Comparing how often different ingredients appear in sambar recipes of South Indian states.

Inspired by one of my all-time favourite charts by @davidawaldron.bsky.social: bsky.app/profile/juwe...

#30DayChartChallenge #dataviz

A map with locations from the PPP Loans Map dataset. Please visit the link for full details.

PPP Loans Map
Source: https://data.nj.gov/d/dp7b-ist4
#nj #data #dataviz

A map with locations from the Radiation Producing Equipment dataset. Please visit the link for full details.

Radiation Producing Equipment
Source: https://data.cityofnewyork.us/d/i595-2byq
#nyc #data #dataviz

Venn diagram illustration of set relations for two sets: intersection, union, symmetric difference, relative and absolute complement

Cheeky plaque celebrating John Venn in Cambridge. Two overlapping circles, one labeled "Mathematician, Philosopher & Anglican priest", the other labeled "Really strong beard game", with "John Venn" in the intersection.

Venn diagram showing the components of a good visualization: Information, story, goal, visual form and their intersections. From: Information is Beautiful

B/W photo of John Venn with a long scraggly beard

#TodayinHistory #dataviz #Onthisday #OTD 📊
💀 Apr 04, 1923 John Venn died in Cambridge, England 🇬🇧

1880: Developed the eponymous Venn diagrams to represent logical relationships

A colleage of 3 data visualizations: a scatterplot of an adult goose, a baby goose, and a bar graph explaining how many pixels of each color are used for each part. The baby goose does not haeve a tail, and has less than half the number of pixels.

Drawing geese with Goose: an easter-inspired #dataviz sketch! if you want to compare the distribution of colors between two doodles with similar sections, a grouped bar graph is but an hconcat away! Made with @opensource.block.xyz 's Goose, connected to a local MCP Server .

Image of Napier's bones: It is a manually operated calculating device created by John Napier for the calculation of products and quotients of numbers

Table of logarithms of angles from 0 to 89 published by Napier

Portrait of John Napier

#TodayinHistory #dataviz #Onthisday #OTD 📊
💀 Apr 04, 1617 John Napier died in Edinburgh, Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿

1614: Invention of logarithms, and the first published tables of logarithms.

A line graph, titiled Plate XIV. Showing relation of height (Y axis) to weight (X axis) in English boys. Two curves are drawn, one labeled 'Laboring classes' the other 'Non laboring classes'

Cover of Bowditch's book, The Growth of Children

Photo of Henry Pickering Bowditch

#TodayinHistory #dataviz #Onthisday #OTD 📊
🎂Apr 04, 1840 Henry Pickering Bowditch born in Boston, USA 🇺🇸
1877: Extensive statistical study of 24,500 children to improve school practice; early ideas of correlation and regression

¿JRPGs que te atrapan al instante? 🎮
De historias vibrantes a aperturas épicas, estos títulos mantuvieron viva la llama de sus franquicias en la sexta generación. Ranking basado en tiempo de juego y Metacritic Score. 📉🔥
#Gaming #Dataviz #PS2 #JRPG

JRPGs that hook you instantly? 🎮From vibrant stories to epic openings, these titles kept their franchises’ streaks alive during the 6th gen. Ranked by playtime and Metacritic scores. 📉🔥 #Gaming #Dataviz #PS2 #JRPG