🌍 The “Visual Analytics for Sustainability and Climate Change“ project I'm coordinating was recognized by the United Nations, as one of the top 100 international initiatives supporting trustworthy information about climate.

The project goal, funded by Swiss National Science Foundation, is to create a visualization tool that helps cultural institutions, scientists, and volunteers improve Wikipedia articles on sustainability and climate change.

#COP30 #VisualAnalytics

https://www.supsi.ch/en/un-progetto-supsi-alla-30a-conferenza-delle-nazioni-unite-sul-clima

📊 Compare your busiest photo weeks side-by-side with year heatmap.

Perfect for spotting patterns across seasons or events.

#VisualAnalytics #iCloud #AppStore

Alexander Rolwes hat am 16. Juni 2025 seine Dissertation mit dem Titel "Geovisuelle Ansätze zur Analyse von Raum-Zeit-Zusammenhängen in urbanen Anwendungsfällen" erfolgreich verteidigt. Dazu gratulieren wir ihm sehr herzlich!

https://i3mainz.hs-mainz.de/news/2025/06/20/erfolgreich-promoviert-herzlichen-gluckwunsch-alex.html

#mobilität #VisualAnalytics #HochschuleMainz #HochschuleRheinMain #Geoanalyse
#Erreichbarkeitsanalyse #Öffnungszeitenanalyse #Attraktivitätsanalyse

The "Grammar of Graphics" is a powerful concept that ggplot2 in R is built on. It breaks down the process of data visualization into layers, making it easier to customize and understand how to build effective charts.

Want to dive deeper into creating beautiful and informative visuals with ggplot2? Check out my online course on "Data Visualization in R Using ggplot2 & Friends!" Take a look here for more details: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

#rprogramminglanguage #visualanalytics #datascience

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

#statisticsclass #datavisualization #advancedanalytics #rprogramminglanguage #visualanalytics #package #tidyverse

Adding statistical metrics to your plots can transform your visualizations from basic to highly informative. With ggplot2 in R and its versatile extensions, incorporating features like p-values, confidence intervals, and regression lines becomes both straightforward and visually appealing.

With these tools, integrating statistical insights into your ggplot2 visualizations becomes both effective and effortless.

More details: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

#rprogramminglanguage #visualanalytics

Looking forward to two #sfbtrr161 talks this week: Ali Sarvghad from UMass Amherst discusses responsible #VisualAnalytics in the #AI era and Narges Mayhar presents #visualization tools that help people engage with complex sociotechnical problems.

More info: https://www.sfbtrr161.de/events_sfbtrr161/

Make your plots more stylish and visually appealing! The ggthemes package offers a variety of pre-built themes that help you customize the look of your ggplot2 visualizations, drawing inspiration from popular design standards.

The visualization shown here is from the package website: https://yutannihilation.github.io/allYourFigureAreBelongToUs/ggthemes/

More: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

#datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package