#visualanalytics — Public Fediverse posts

„Dendrography and Art History“ zeigt, wie Algorithmen formale Beziehungen zwischen Bildern sichtbar machen. Dendrogramme ordnen Stilentwicklung – Bedeutung entsteht erst durch kunsthistorische Interpretation.
#DigitalArtHistory #Cezanne #VisualAnalytics
https://dhq.digitalhumanities.org/vol/13/3/000423/000423.html

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

CfP: VIS4DH 2025
The VIS4DH workshop will be held in conjunction with IEEE VIS in Vienna, Austria. It invites submissions at the intersection of visualization and (digital) humanities.
This year’s theme: Visualizing Peace and Conflict
More details: https://vis4dh.dbvis.de
#VIS4DH #IEEEVIS #DigitalHumanities #InformationVisualization #VisualAnalytics #CfP #PeaceResearch #ConflictStudies #HumanitiesData #DataHumanities #DH2025 #CriticalVisualization

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

Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.

The attached visual, which I created using ggpubr, demonstrates its versatility.

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

#bigdata #visualanalytics #tidyverse #programming #statisticalanalysis #datavisualization #package #data #ggplot2

Working with text in ggplot2 plots can be a mess, especially when dealing with overlapping labels, busy backgrounds, or the need for custom formatting. Thankfully, several powerful ggplot2 extensions make text manipulation and annotation much easier and more effective.

With these tools, text in ggplot2 becomes much more manageable and visually appealing.

#ggplot2 #statisticalanalysis #package #visualanalytics #rstudio #tidyverse #datavisualization #datascience

In missing data imputation, it is crucial to compare the distributions of imputed values against the observed data to better understand the structure of the imputed values.

The visualization below can be generated using the following R code:

library(mice)
my_imp <- mice(boys)
densityplot(my_imp)

Take a look here for more details: https://statisticsglobe.com/online-workshop-missing-data-imputation-r

#datastructure #statisticalanalysis #dataanalytics #visualanalytics #pythoncoding #package #datavisualization #datascience

When it comes to learning data science, statistics, and programming, having the right resources is essential.

You can find all links and further descriptions here: https://statisticsglobe.com/statistics-data-science-programming-resources

If you are looking for a structured course that helps you get started with these topics, you may check out my introduction to R programming course. Further details: https://statisticsglobe.com/online-course-r-introduction

#dataviz #dataanalytic #pythondeveloperjobs #visualanalytics #bigdata #rprogramming

Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.

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

#dataanalytics #rstats #dataanalytic #datavisualization #package #datasciencetraining #visualanalytics #datastructure #tidyverse #ggplot2

The R programming language is, in my opinion, the best tool for statistical analysis and data visualization.

By enrolling in the course, you’ll receive lifetime access to:

- 20 video lessons on statistical methods & their application in R.
- Exclusive group chat for questions, support, and networking.
- Quizzes, projects, scripts, and additional resources to enhance your skills.

Link: https://statisticsglobe.com/online-course-statistical-methods-r

#dataanalytic #visualanalytics #datavisualization

When building regression models, watch out for significant predictors! 🚨 Sometimes, variables that seem important might lose their significance when the model gets better.

See this link for additional information: https://statisticsglobe.com/webinar-data-analysis-visualization-r

#businessanalyst #dataanalytic #visualanalytics #dataviz #data #bigdata

Woa, just in time 😅

@movingpandas v0.18.0 just landed on pypi and conda-forge

For an overview of all new features and improvements, see
https://github.com/movingpandas/movingpandas/releases/tag/v0.18

Example notebooks will be updated later. Now it's time for #esc2024

#MobilityDataScience #MovementDataAnalytics #Mobility #GeoPandas #DataScience #GIScience #GISChat #OSGeo #MovementData #VisualAnalytics

A webinar: Unlocking Historical Narratives: A Visual Analytics Approach in Digital Humanities
to be given by a PhD student at #hkust
https://lbcube.hkust.edu.hk/ce/index.php/event/9743/
#digitalhumanities #history #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

If all goes as planned, the next version of @movingpandas will ship with improved #Trajectory plotting capabilities, including, finally: #arrow markers that show the direction of the movement

https://github.com/movingpandas/movingpandas/commit/fb1174b51f0ef31ce95ffc1403b78c7eff3642b7

#MovementDataAnalytics #MovementData #MobilityAnalytics #VisualAnalytics #Bokeh #GeoViews #Holoviews #GISChat

finally our #VIS 2022 TREX workshop paper on "Trustworthy #VisualAnalytics in Clinical #Gait Analysis: A Case Study for Patients with Cerebral Palsy" landed in the IEEE library: https://doi.org/10.1109/TREX57753.2022.00006

Updated postprint available at https://arxiv.org/abs/2208.05232