#DataViz

Anne-Sophie Pereira De Sá

@curiousdata.bsky.social

7 minutes ago

Before/after of a line chart showing the ratings of Game of Thrones across all episodes and seasons. Season chart is more legible, with a gradient.

Highlight of the header of the viz with a new box that allows to search for a specific TV show title to check if it's in the top 250.

Update on the #IMDb Top 250 TV explorer (Svelte + D3 collab with @leandrocollares.bsky.social)

We got great feedback and
→ improved chart legibility
→ simplified the #UX
→ made key info easier to access
Good reminder that the real work starts after launch!
imdb-show-explorer.vercel.app #dataviz 📊

Josi Bernardo

@josefina-bernardo.bsky.social

11 minutes ago

For this week's #TidyTuesday we looked at data from repair shops provided by the Repair Monitor 🛠️

💻 Code is on GitHub: github.com/josefinabern...

#RStats #RLadies #DataViz

Ralitza Soultanova

@ralitzas.bsky.social

16 minutes ago

#30DayChartChallenge Petal chart

Day 8 · Circular

Same dataset, different view.
The gap is now small almost everywhere — and sometimes reversed.

Still work to do in Asia and Africa.
More to explore at country level.

#DataViz #Education #30DayChartChallenge

Manasseh

@manasseh6.bsky.social

1 hour ago

Repair Cafes Worldwide for #TidyTuesday, wk 14.

Philip Iron Box brand is definitely a lifetime asset.

#Rstats #Dataviz #ggplot2

Jan Broder Engler

@jbengler.de

2 hours ago

library(tidyplots) pca |> tidyplot(x = pc1, y = pc2, color = group) |> add_data_points() |> add_ellipse()

This is how you can add normal data ellipses in #tidyplots 🐣

#rstats #dataviz #phd

juweek

@juweek.bsky.social

3 hours ago

Although the data is kind of murky, these numbers help put into perspective how different internet tasks use different amounts of energy. It's helped me contextualize the conversations surrounding AI and its environmental costs #dataviz

Georgios Karamanis

@karaman.is

4 hours ago

A radial bar chart titled "Uppsala's bus clock" with the subtitle "Departures per hour, weekday vs weekend." Hours of the day (0:00 to 23:00) are arranged clockwise around a circle. For each hour, two bars extend outward: orange for weekday and blue for weekend departures. Weekday bars are substantially longer, peaking at 7:00 with 3,145 average departures, with a second peak at 15:00 (3,120). The overnight trough bottoms out at 2:00 with 56 departures. Weekend bars are much shorter and more evenly distributed, peaking mid-morning around 10:00–11:00 with around 680 departures and dropping to 56 at 4:00. Source: UL GTFS data, 4–30 April 2026.

#day8 of #30DayChartChallenge, Circular

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

#RStats #dataviz

stevecarufel_

@stevecarufel.bsky.social

4 hours ago

#30DayChartChallenge Day 5 : Experimental

Important insights from the Emoji Mashup Bot @emojimashupbot.bsky.social

It posts a mashup every 2 hours

What are the best emojis for mashups, in terms of likes and reposts?

Out of 6000 posts, we have a clear winner 🥇

#Rstats #dataviz

Derek Law

@gisbandit.bsky.social

4 hours ago

In 1 week, #esri webinar: Getting Started with #ArcGIS #Urban: #3D #Planning Simplified tinyurl.com/4bmnufux

#city #municipal #govtech #GIS #dataviz #mapping #GISchat #geospatial #TheScienceOfWhere #geosky

Junk Charts

@junkcharts.bsky.social

5 hours ago

The paradox of circles #dataviz #junkcharts: www.junkcharts.com/the-paradox-...

Yasar Sharfudeen

@newbie2k25.bsky.social

5 hours ago

Radial bar chart titled "When Does India Get Its Rain?" on a dark background. Twelve months arranged clockwise. Four colour-coded grouped bars per month show average rainfall for Assam & Meghalaya (purple), Kerala (green), Tamil Nadu (orange), Rajasthan (pink). Kerala's June bar is tallest at 630mm, followed by Assam & Meghalaya July at 516mm. Tamil Nadu peaks in November (179mm) during the northeast monsoon, contrasting with other regions peaking Jun–Aug. Rajasthan's bars are barely visible, peaking at 165mm in July. Green and red background wedges mark SW monsoon (Jun–Sep) and NE monsoon (Oct–Dec). Dashed reference rings at 100–600mm. Data: IMD 1971–2017 averages via data.gov.in.

Day 08 #30DayChartChallenge — Circular

Kerala gets 630mm in June alone. Rajasthan gets 478mm the entire year.

Radial bar chart: 4 IMD subdivisions, monthly rainfall, SW vs NE monsoon contrast.

Data: IMD via data.gov.in (1971–2017 avg)
Built with R + ggplot2

#DataViz #RStats

Ansgar Wolsing

@ansgarw.bsky.social

5 hours ago

A dot plot on a polar coordinate system showing the average monthly air temperatures in Germany between 1881 and 2026 with months of the year on the x axis and the temperature in degrees Celsius. The monthly values are represented as dots. The values from 2016 to 2026 are highlighted in lilac. A reference line indicates that most of the monthly average temperatures after 2016 have been higher than the long-term average.

The majority of monthly average air temperatures (2m) in Germany since 2016 have been higher than the long-term average (1961-1990). Each dot in this chart represents the monthly average for a year.

#30DayChartChallenge | Day 08 - Circular #dataviz 📊 #ClimateChange

Deepali Kank

@deepalikank.in

6 hours ago

Circular sentiment visualization of Sherlock Holmes stories, with rings as stories and colored slices showing emotional shifts from negative (blue) to positive (brown), centered around a Holmes portrait.

Day 8 of the #30DayChartChallenge : Circular 🌀
I explored the complete Sherlock Holmes collection through a interactive sentiment lens, visualized as a radial “sentiment wheel.”
Code: observablehq.com/d/be3412faec...
#DataViz

Data of New York 🗽

@nycdatabot.stefanbohacek.online.ap.brid.gy

6 hours ago

A map with locations from the DOHMH School Cafeteria Inspections (Historical) dataset. Please visit the link for full details.

DOHMH School Cafeteria Inspections (Historical)
Source: https://data.cityofnewyork.us/d/9hxz-c2kj
#nyc #data #dataviz

Louis M Penrod

@louismpenrod.bsky.social

7 hours ago

Three circular diagrams reimagining the PADI repetitive dive planning tables, using a consistent color scheme tied to pressure group letters throughout all three. Instructions at the top explain how to use them. The first diagram determines a diver's pressure group after an initial dive based on depth and bottom time, with pressure group letters labeled on the output. The second diagram tracks nitrogen off-gassing during surface intervals, showing how a diver moves between labeled pressure groups over time. The third diagram determines the Residual Nitrogen Time (RNT) for a repetitive dive based on the diver's pressure group and planned depth, with both starting pressure groups and RNT values labeled. All three diagrams use the same color palette mapped to pressure group letters, allowing visual continuity across the planning workflow.

#30DayChartChallenge #Day8 – Circular: Always thought the three PADI dive planning tables would look interesting graphically given the data and models behind them. Can't say I'm 100% happy with it, but it is a starting point.

1/2

#DataViz #Rstats

Joseph Ricafort

@jricafort.bsky.social

7 hours ago

built this for everyone who's ever had something important to say with data but couldn't get the tools to cooperate

upload your file · ask a question · get a chart + story
ready to share minutes not hours

launching May 1st
chartales.com/join-waitlist

#30DayChartChallenge #dataviz #buildinpublic

Cormac Monaghan

@c-monaghan.bsky.social

7 hours ago

A horizontal dot plot showing repair success rates across 14 categories of items brought to repair cafés. Each category is listed on the y-axis, and the x-axis shows the percentage of successful repairs from 50% to 100%. Each category has a dot connected by a thin line. The size of each dot represents the number of repair attempts, with larger dots indicating more attempts. A vertical dashed line marks the average success rate (around 75%). Categories like Textile, Tools (non-electric), and Bicycles have high success rates (above 85%), while categories such as Display and sound equipment and Computer equipment and phones have lower success rates (around 55–60%) despite having large numbers of repair attempts. The chart highlights that while most items can be repaired successfully, some high-volume categories have comparatively lower repair success rates.

This week's #TidyTuesday looks at repair cafés.

Some are fixed almost every time (like textiles 🧵), while others are brought in a lot but succeed less often (such as electronics).

🔗 Code: github.com/C-Monaghan/t...

#rstats #ggplot2 #dataviz

Surbhi Bhatia

@surbhaai.bsky.social

8 hours ago

A circular heatmap showing daily air quality patterns across major Indian cities over a decade. Each ring represents a year, and each segment represents a day. Colors range from blue (cleaner air) to red (more polluted air). Made for #30DayChartChallenge Day 8 prompt: Circular

#Day8: Circular
A decade of bad air. Air quality in India’s major cities has stayed consistently poor, often reaching hazardous levels, with no signs of improvement year after year.
#30DayChartChallenge #dataviz #airpollution #cleanair

Rajo

@rajodm.bsky.social

9 hours ago

Small multiples polar area charts of Plasmodium falciparum death rates per 100,000 population across the 9 hardest-hit African countries (Sierra Leone, Niger, Central African Republic, Burundi, Burkina Faso, Nigeria, Benin, Cameroon, Liberia) from 2014 to 2024. Each slice represents one year and its shade encodes the mortality rate from white, to yellow, to deep red, showing persistently high and often worsening burden in Sierra Leone and Niger compared to more stable rates elsewhere.

#Day8 of the #30DayChartChallenge
Distribution - Circular

How did P. falciparum death rates change across a decade in the 9 African countries with the highest malaria mortality in 2024 (malariaatlas.org) ?

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

#dataviz #rstats #ggplot2

Steven Ponce

@sponce1.bsky.social

10 hours ago

Circular chart showing the weekly distribution of U.S. flu activity across the 52-week year. A gray band represents the typical seasonal range from 2015–16 to 2019–20, with activity concentrated near January and February at the top of the clock face and near zero during summer months at the bottom. A small cyan ring near the center shows the 2020–21 season, when flu nearly disappeared due to COVID-19 pandemic measures.

📊 #30DayChartChallenge 2026 – day 08
.
Distributions | Circular
.
🔗 : stevenponce.netlify.app/data_visuali...
.
#rstats | #r4ds | #dataviz | #ggplot2

Miki

@mikipe.bsky.social

10 hours ago

Gráfico circular estilo donut titulado 'El Calendario de Quirófano'. Muestra la distribución de partos en España 2024 por meses. El anillo interior destaca las cesáreas, resaltando en magenta el mes de octubre con un 27%.

¿Los médicos programan los partos por conveniencia? Analizando nacimientos en España 2024: la tasa de cesáreas no es plana, fluctúa con el calendario y festivos. El bisturí también tiene estacionalidad. 📊
#30DayChartChallenge #Day08 #DataViz #RStats

#geoObserver

@geoobserver.bsky.social

10 hours ago

GIS-Wissen: Mercator, immer wieder!? / GIS Knowledge: Mercator, again and again!? geoobserver.de/2026/04/08/g... #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #mapping #DataViz #gis #geo #geoObserver pls RT

Anne-Sophie Pereira De Sá

@curiousdata.bsky.social

11 hours ago

Draw it yourself: Checking Trump’s tariff claims a year later Trump claimed tariffs would benefit the American economy in a big way. Can you draw what really happened?

[Interactivity] I've seen a couple of times those "guess the rest of the line" charts but this is the first time I experience a "guess the bar chart". Cool! #Dataviz
Mayank Munjal, Kripa Jayaram, Vineet Sachdev and Anurag Rao
www.reuters.com/graphics/USA...

WEDODATA

@wedodata.bsky.social

11 hours ago

🦥 La dataviz au secours de la biodiversité en danger 🌲 2nd avril 2026

Tous les détails dans l'édition #24 👉 wedodata.beehiiv.com/p/la-dataviz-au-secours-de-la-biodiversit-en-danger

#bioacoustique #son #oiseaux #dataviz #ornithologie #visualisation #nature

Data of New Jersey

@njdatabot.stefanbohacek.online.ap.brid.gy

13 hours ago

A map with locations from the Acute-Care Facility Locations dataset. Please visit the link for full details.

Acute-Care Facility Locations
Source: https://data.nj.gov/d/ars4-hngc
#nj #data #dataviz

Kristin Baumann

@kristin-baumann.bsky.social

13 hours ago

Tiny change requests pile up fast. What if clients could make small updates on a coded data viz themselves?

In my new post on "Beyond the Chart", I cover what to make configurable, how it adds value, and real-world examples.

Read more: www.kristin-baumann.com/blog/empower...

#dataviz #charts

Mitchell Whitelaw

@mtchl.post.lurk.org.ap.brid.gy

14 hours ago

New work out! Mosaic uses images, sound, video and data to build a portrait of a western NSW wetland.

It's an experiment in environmental data-storytelling and using #conservationtech for public engagement. With waterbirds galore, feral critters and livestock, it's also an attempt to show the […]

Alexandra Mayette

@alexemayette.bsky.social

17 hours ago

#30DayChartChallenge Day 6: Reporters Without Borders (data) 🎥 & Day 7: Multiscale ⚖️
(ideally, it needs more fine-tune adjustments, but I was trying to show both ends of the scale) #DataViz

John Golden

@johngolden.bsky.social

18 hours ago

Post by @mapsontheweb · 1 image 💬 93  🔁 13308  ❤️ 19346 · Every state split in half by population – the densest half and least dense half

States in US by population halves. Which state has the greatest ratio of areas? #dataviz www.tumblr.com/mapsontheweb...

Data of New York 🗽

@nycdatabot.stefanbohacek.online.ap.brid.gy

18 hours ago

A map with locations from the 421-a(16) Affordable New York Housing Program Completion Extension - Letters of Intent dataset. Please visit the link for full details.

421-a(16) Affordable New York Housing Program Completion Extension - Letters of Intent
Source: https://data.cityofnewyork.us/d/pq4c-wbq4
#nyc #data #dataviz