#AI is a #bubble - just look at the data:

Money invested in private companies in 2024

- United States: ~$94 billion
- China: ~$8 billion
- Europe: ~17 billion

Difference in China and US is >10x! Ridiculous!

Annual private investment in artificial intelligence - by Our World In Data (April 2025):

https://ourworldindata.org/grapher/private-investment-in-artificial-intelligence

LooksMapping

https://looksmapping.com/

@OverviewEffekt has been creating beautifully animated videos about real stars, like https://www.youtube.com/watch?v=elPKc0R-gq0 with the added context of the sci-fi stories (like Dune) set in those systems. (2/3)
http://overvieweffekt.com
#overvieweffect #datavisualization #astronomy

Using dplyr and ggplot2 in R can significantly streamline your data analysis process, making it easier to work with complex data sets.

I have created a video tutorial in collaboration with Albert Rapp, where I demonstrate how to do this in practice: https://www.youtube.com/watch?v=EKISB0gnue4

Life Expectancy in Europe Compared to the US

https://old.reddit.com/r/dataisbeautiful/comments/1lih4a0/oc_life_expectancy_in_europe_compared_to_the_us/

Want to bring your plots to life? gganimate is a powerful extension for ggplot2 in R that transforms static visualizations into dynamic animations. It makes it easier to highlight changes and trends over time in a clear and engaging way.

The attached animated visualization, which I created with gganimate, shows inflation trends for six countries since 1980.

Take a look here for more details: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

#python #datavisualization
#plotly #technology #industry

Thinking Outside the Box: Top 20 Plotly/Python Code Examples of Amazing Data Visualization That Will Blow Up Your Mind!

Uncovering Hidden Treasures of Plotly’s Interactive Graphics & Apps for Data-Driven Decision-Making (DDDM) across Industries

Example: live global earthquake visualization around Sat, Sep 9, 2023, 12:11 AM (Morocco earthquake) using Plotly EDA.
#exploremore

https://medium.com/@alexzap922/thinking-outside-the-box-top-20-plotly-python-code-examples-of-amazing-data-visualization-that-482fbf3c332b?sk=d500912851ca7b88fa15535eede1a400

Data Visualization
At NextGen2AI, we turn complex data into clear, actionable insights through advanced data visualization. Using AI and modern tools, we create dynamic dashboards and visual stories that help businesses make smarter, faster decisions with confidence.
Visit: http://nextgen2ai.com/about.html
#DataVisualization #NextGen2AI #BusinessIntelligence #DataAnalytics #SmartDecisions

Comparing groups is often one of the main goals in data visualizations. The ggplot2 package in R, along with its powerful extensions, makes it easy to create visualizations that highlight differences, trends, and relationships between groups.

Click this link for detailed information: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

Tired of Excel’s limitations? Learn how Python can help you automate reports, build dashboards, and create clear visuals—no prior coding experience needed. If you know spreadsheets, you're ready to go.

Pre-order now and get 30% off with code BEYONDEXCEL for the pre-order sale! (6/23–6/29)

https://nostarch.com/python-excel

The bad boy of bar charts: William Playfair

https://blog.engora.com/2023/05/the-bad-boy-of-bar-charts-william.html

A nice visual exploration of 1,656 conversations: 7+ million words, 850 hours.

"By the end of these conversations, several participants seemed to realize that they may never see their conversation partner again, and had to say their bittersweet goodbyes."

https://pudding.cool/2025/06/hello-stranger/

Data: https://www.science.org/doi/10.1126/sciadv.adf3197

Nuke Map

https://nuclearsecrecy.com/nukemap/

Data Visualization - Next Gen2AI
At NextGen2AI, we turn complex data into clear, actionable insights through advanced data visualization. Using AI and modern tools, we create dynamic dashboards and visual stories that help businesses make smarter, faster decisions with confidence.
Visit: http://nextgen2ai.com/about.html
#DataVisualization #NextGen2AI #BusinessIntelligence #DataAnalytics #SmartDecisions

Are you a clinician doing research with real-world data?

Let #SUNDDataLab at UCPH #HeaDS support your analysis needs!

From #StatisticalModeling to #DataVisualization and #Python/#R workflows—we’ve got you covered

No time or coding experience? No problem.
On-demand, expert data help tailored for busy clinical researchers.

https://www.heads.ku.dk/datalab/
datalab@sund.ku.dk

I gave in! After students asked for one for years, I have now made a simple figure design checklist.

To help all scientists w/o graphic design training create clearer, more accessible, and truthful charts!

--> Out in @nature Cell Biology: https://rdcu.be/erwl4
--> link to blog: https://helenajamborwrites.netlify.app/posts/25-6_ncb/
(with link to download checklist as pdf)

#DataVisualization #PhD #SciComm

Thx my reviewers Beth Cimini & 2 anon, and early comments from Tracey, @steveroyle, James Saenz, and Alenka Gucek

#TidyTuesday Libros en español del Proyecto Gutenberg. @gutenberg_org

Script: https://vhgauto.github.io/tidytuesday/2025/semana_22.html

I recently discovered the tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots.

The example visualizations shown here were created by the package author, Jan Broder Engler, and are featured on the tidyplots website: https://jbengler.github.io/tidyplots/

Click this link for detailed information: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r