¡Orgullo regional! 🇵🇪 Perú se corona como la 3ra mejor cocina del mundo en 2026 según TasteAtlas. México cae al puesto 11, saliendo del Top 10 global. La gastronomía sigue siendo uno de los activos más fuerte de la identidad de LATAM. 🍽️📊
#DataViz #Peru #Gastronomia #LATAM
Regional pride! 🇵🇪 Peru ranks as the 3rd best cuisine globally in 2026, TasteAtlas. Mexico drops to 11th, falling out of the global Top 10. Gastronomy remains Latin America's most powerful identity driver. 🍽️📊
#DataViz #Peru #Gastronomy #TasteAtlas
A map with locations from the State Parole Board: Agency Locations Map dataset. Please visit the link for full details.
State Parole Board: Agency Locations Map
Source: https://data.nj.gov/d/f88c-7viw
#nj #data #dataviz
Three stacked bar charts showing the distribution of probability estimates for "Highly Likely" (green) and "Highly Unlikely" (orange) across three groups of English speakers. The x-axis runs from 0 to 100%. For native English speakers (top panel), estimates for "Highly Likely" cluster around 80–95% and for "Highly Unlikely" around 1–10%, with considerable spread across the range. The fluent non-native panel (middle) shows a similar pattern. The non-fluent panel (bottom) is more concentrated at the extremes, with no responses in the middle range. Color intensity represents the proportion of responses within each group.
This week's #TidyTuesday looks at how people interpret "highly likely" and "highly unlikely", based on the CAPphrase survey by @adamkucharczyk.bsky.social. Non-fluent speakers tend to take the words at face value (though much smaller sample)
Code: github.com/gkaramanis/t...
#RStats #dataviz
library(tidyplots) study |> tidyplot(x = treatment, y = score, color = treatment) |> add_violin() |> add_data_points_beeswarm(white_border = TRUE) |> reorder_x_axis_levels("C", "D", "A", "B")
This is how you can reorder axis levels in #tidyplots 🚀
#rstats #dataviz #phd
A map with locations from the Map-NJ Office of Broadband Connectivity dataset. Please visit the link for full details.
Map-NJ Office of Broadband Connectivity
Source: https://data.nj.gov/d/kqie-icyx
#nj #data #dataviz
Relief visualization in perspective style showing elevation data from Maripasoula at coordinates 2.2500, -54.0045 with elevation range from 202m to 390m.
//\ Relief #272
Location: Maripasoula, Guyane, France
Coordinates: 2.2500, -54.0045
Elevation Range: 202m to 390m
Terrain type: hilly
#ReliefOfTheDay #DataViz #Geography
99 bills have been introduced, 0 bills passed the House, 0 bills passed the Senate, 0 bills passed both chambers, 0 resolutions have been agreed to, 1 bills are being considered, and 0 bills have been enacted.
Analyzing the last 100 bills in the US #government. #dataviz #civictech
💪 The mighty R library, ggmap, helps you visualize data geospatially.
👇 We teach you how to make great looking data with Stadia Maps.
docs.stadiamaps.com/tutorials/ge...
#RStats #DataViz #Geospatial #Tidyverse
1/3 Sur un #R de #piday, journée internationale des #mathématiques sur le thème mathématiques et espoir, ma création mosaïque mathématique autour de π en utilisant ses décimales (N=20000, n=1).
#rstats #mathart #dataviz
A map with locations from the No Idling Pledge Map dataset. Please visit the link for full details.
No Idling Pledge Map
Source: https://data.nj.gov/d/45a5-ngdt
#nj #data #dataviz
Here are the graphics illustrating the level of customization users can have. The most noticeable being the colormaps, users can use colormaps that exist in matplotlib or create their own custom colormap (OSCC is the default custom color map). #python #data #dataviz
#TidyTuesday week 10 - How likely is 'likely'?
Code: github.com/deepdk/TidyT...
#Rstats #Dataviz
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 📊
💀Mar 13, 1911 Henry Pickering Bowditch died in Boston, USA 🇺🇸
1877: Extensive statistical study of 24,500 children to improve school practice; early ideas of correlation and regression
Priestley's 1765 Chart of Biography covers a vast timespan, from 1200 BC to 1800 AD, and includes two thousand names. Priestley organized his list into six categories: Statesman and Warriors; Divines and Metaphysicians; Mathematicians and Physicians ... It's goal was to allow students of history to "see" relationships across time and domain.
Priestley's 1769 A New Chart of History, dedicated to Benjamin Franklin. It lists events in 106 separate locations in horizontal bands labeled by country from Great BGritain at the bottom the America at the top. Empires, like the Roman Empire are shaded, spanning the time and geography they dominated. it illustrates Priestley's belief that the entire world's history was significant,
Color portrait of Joseph Priestley
#TodayinHistory #dataviz #Onthisday #OTD 📊
🎂Mar 13, 1733 Joseph Priestley born in Leeds, England 🇬🇧
Most famous for discovering oxygen, but also ---
1765: Historical timeline (life spans of 2,000 famous people, 1200 B.C. to 1750 A.D.)
Bon, je n'ai pas reçu de réponse de la Paduteam, donc j'ai publié le code du Saint Graphique ici: https://github.com/JnthnBS/saint-graphique
Pour rappel, c'est un graphique qui permet de faire de la sociologie électorale en situant les groupes socio-professionnels sur deux axes: capital […]
This weekend Darwin's wet season rain will likely reach 2000 mm. Wow. As much of northern Australia is flooded, or in flood watch, more rains to come... #dataviz #hydrology
Map of Geopotential Height Anomaly for most of CONUS and Canada. Low is blue, high is red.
Map of Geopotential Height Anomaly for most of CONUS and Canada. Low is green, high is yellow to red to magenta.
Original map with an anomaly palette that uses colors that are lighter at both the high and low extremes than the next bin down.
Here’s my re-coloring of the Geopotential Height Anomaly map I snarked about yesterday with Color Brewer RdBl, along with the same data colored with magma (but I didn’t mess as much with the formatting) and the original.
#color #dataviz
cc @jwolondon.bsky.social @jdonland.bsky.social
We're developing some interactive, in-browser @marimo.io #DataViz notebooks in the PUDL Data Viewer. Definitely not ready for prime-time, but if you're up for some alpha testing, we'd love feedback. The first one lets you explore plant-level EIA data. #EnergySky
data.catalyst.coop/secret-examp...
Claude Now Automatically Generates Charts and Diagrams
Claude can now generate charts and diagrams 📊 Visuals appear automatically when helpful or on user request. #Claude #AI #DataViz
Thank you for citing #tidyplots 🙏
Lalichat Ariyakulkiat et al. Smoke water promotes root meristem activity and cell elongation but inhibits root hair growth under phosphorus deficiency in rice. South African Journal of Botany (2026).
doi.org/10.1016/j.sa...
#rstats #dataviz #phd
ATTN all #genomics, #datascience, and #dataviz enthusiasts
Checkout the latest #openaccess repository of publicly available genomic datasets for plants and animals built on #FAIR data sharing principles.
Paper in #G3journal: 🔗 buff.ly/YmdeKnL
An NFL draft report card for the Baltimore Ravens, featuring a sleek set of visuals and analytics breaking performance down by year, position, team, etc
unbelievably clean NFL draft #dataviz by @robmoore.tech
you can play with it here! perthirtysix.com/nfl/draft/re...
Hundreds of studies exist in many areas of health research, but the patterns and gaps aren’t always obvious.
Professor Michelle Krahe uses Kumu to create visual evidence maps that reveal research clusters and gaps across digital health topics.
buff.ly/bPwDI6h
#literaturereview #dataviz
See our interactive graphics on today’s new job openings and labor turnover numbers www.bls.gov/charts/job-o... #JOLTS #BLSdata #DataViz
A map with locations from the Emission Repair and Private Inspection Facilities dataset. Please visit the link for full details.
Emission Repair and Private Inspection Facilities
Source: https://data.nj.gov/d/rggz-cv9v
#nj #data #dataviz
Relief visualization in perspective style showing elevation data from Yukon at coordinates 65.4614, -132.5927 with elevation range from 871m to 1647m.
//\ Relief #271
Location: Yukon, Yukon, Canada
Coordinates: 65.4614, -132.5927
Elevation Range: 871m to 1647m
Terrain type: high-hilly
#ReliefOfTheDay #DataViz #Geography
99 bills have been introduced, 0 bills passed the House, 0 bills passed the Senate, 0 bills passed both chambers, 0 resolutions have been agreed to, 1 bills are being considered, and 0 bills have been enacted.
Breaking down the last 100 bills in the US #government. #dataviz #civictech
Focus Range in Power BI Report
✅ Highlighting selected period to put full focus on what matters
#powerbi #analytics #dataviz #dashboard #report
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