Is there a way to graph trending hashtags on mastodon/the Fediverse?
What I'm interested in is to graph say my local city of #Adelaide and use that as a bit of an indicator of if #Mastodon usage and engagemement is growing locally in my town
And yes im interested in data across the fediverse or at least across a few selected servers, as I want data beyond just a single instance.
I can see this on my desktop web interface right now.. so Im guessing there *should* be a way.
On peut tout faire dire aux chiffres... Ou comment utiliser les statistiques de la délinquance... Et surtout éditorialiser les dataviz RT @lemonde
Pourquoi il faut considérer les classements des villes les plus dangereuses avec précaution
https://www.lemonde.fr/les-decodeurs/article/2025/03/28/pourquoi-il-faut-considerer-les-classements-des-villes-les-plus-dangereuses-avec-precaution_6587251_4355770.html
#statistiques #opendata #donnéespubliques #securité #biais #editoralisation #dataviz #datavisualisation #veille
These are also a fuzzy mess, and I need to get these on to a set of scalable map tiles or similar. But it has taken three months to get the shortest path code to work in anything approximately equal to a reasonable time, so this is all I've currently got.
#DataVisualisation #Census2021 #Census2011 #EnglandWales
3/n
[#veille] Portraits d'archivistes - #AAFRennes2025 : datavisualisations à partir de la liste des inscrit.e.s
https://patrimoine-et-numerique.fr/data-visualisations/89-portaits-darchivistes-aafrennes2025
#archives #archivistes #datalove #dataviz #datavisualisation #OpenRefine #Flourish #map
@archivistodon #archivistodons
Enhance your R data visualisation by using the {reactable} and {sparkline} packages. Learn how to include sparklines inside HTML tables in our latest blog post by our Data Scientist Osheen MacOscar.
#DataScience #RStats #DataVisualisation #Sparklines #Reactable
https://www.jumpingrivers.com/blog/sparkline-reactable/
For those interested in such things, I have been looking at the 2011 Census Middle Super Output Area (MSOA) travel to flow work data for England and Wales, and the break down between total flows, and then active travel (walking/cycling), public transport (metro/bus/train) and private transport (taxi/car/car passenger/motorbike). Where I end up with something like this.
#DataVisualisation #TravelToWork #DataScience #PassengerFlow
1/n
We're recruiting a (Senior) Research Software Engineer! Join the KDL team and collaborate with partners to develop digital tools to explore academic research in new ways.
https://www.kcl.ac.uk/jobs/109427-senior-research-software-engineer
Using knowledge graphs for network correspondence analyses, a Finnish case study using their national Sampo-infrastructure as triple-store and SPARQL endpoint.
I'm saddened by the lack of reference to Prince's Purple Rain, but I do think Word Rains have potential when analysing corpora. Would be cool to have an interactive version integrated into a full-text search service!
Check out our most recent blog on the {sparkline} package in R from our Data Scientist Osheen Macoscar!
Discover how to create compact, informative inline charts like line graphs, bar charts, and box plots to enhance your data visualisations.
#RStats #DataVisualisation #DataScience #Shiny #RProgramming
Un guide de la dataviz très complet !
Le webinaire sur la datavisualisation, organisé par le GTSO #Données de Couperin, est désormais disponible en replay !
Tenu le 17 décembre 2024, ce webinaire explore l’art de transformer des données complexes en récits visuels clairs, fonctionnels et esthétiques. Mais attention : une belle image ne suffit pas, elle doit aussi rendre les informations compréhensibles et pertinentes.
Ce webinaire propose :
Des concepts et outils issus de différents univers disciplinaires.
Des exemples concrets de projets et solutions pratiques.
Une réflexion sur la place de l’image comme vecteur d’information.
Intervenants :
Jean-Daniel Fekete (Inria Paris-Saclay)
Étienne Côme (Université Gustave Eiffel)
Découvrez le replay et les supports sur notre nouvelle chaîne CanalU :https://www.canal-u.tv/chaines/couperin/derriere-la-beaute-des-images-des-donnees
@OpenSciTwente @matplotlib @bret I can think of two options for #datavisualisation #dataviz
https://labplot.org/ is a desktop #FLOSS with a nice GUI to generate #dataviz that can also generate code and they are on the #fediverse @LabPlot .
#plotly has an online visual editor that is also quite interesting: https://chart-studio.plotly.com/create/#/
Our courses for the first half of 2025 have now been released. We have everything from the very basics of R and Python for data science, to advanced statistical modelling and machine learning.
#Programming #Python #Shiny #Quarto #DataVisualisation #Upskill #Training
Everyone knows ggplot2 in R or matplotlib in Python. But what are the differences between theese 2 programming languages and what are the most important R & Python libraries for visualization? 
For those interested in such things here is a map showing the change between ORR FY2018/19 and FY2023/24 aggregated passenger in orange overlaid on a the FY2023/24 numbers in white at the same scale, with the increase on the left and decrease on the right.
