Hey Mastodon! 👋 Here is our #introduction post: We are the Data Visualization Lab at Khoury College of Computer Sciences at Northeastern University. You can find more about our work here: https://vis.khoury.northeastern.edu/
From the late 1670's comes a great "strip" map by John Ogilby. Here, to get from Presteigne to Carmathen, in Wales it's a practical method to keep one on the correct route to a destination, reference landmarks & stay on the route.
It's interesting that when automobiles became popular, early roads atlases used this same route method to get drivers to their next destination, by identifying landmarks and keeping them on a solitary path.
I spent last night to build this fun Shinylive app - Forecasting Sandbox 😎
The app provides a simple sandbox for three simple forecasting models - Linear regression, ARIMA, and Holt-Winters, and it entirely runs on the browser!
I am planning to deploy it to Github Actions and create a tutorial (WIP) 👇🏼
🎉 New blog post! For a few months now I've been toying with an idea for a new #Svelte framework for #datavisualization -- heavily inspired by the great Observable Plot. Very curious to hear what you think about this.
It is my great pleasure to announce that my latest data artwork "Circadian Rhythms" made with Franck Aubry is on display at EPFL Pavilions until the end of July 2023.
🛹 𝒍𝒐𝒏𝒃𝒐𝒂𝒓𝒅 is a game-changer for geospatial data visualization in Jupyter. Say goodbye to slow rendering times!
🔗 bit.ly/lonboard
🧵 #DataVisualization#Geospatial
I am beyond honored and humbled to receive an NSF CAREER award! Thank you to the #DataVisualization community for your boundless support and mentorship.
Hi all! I'm a 3rd-year PhD Student in Computer Science at Northeastern, with a focus in exploratory analysis tools for #datavisualization of high-dimensional data. I'm particularly interested in #XAI and #genomics . I'm also a practicing emergent media artist, and currently teaching myself #Blender#B3d . Here''s my website for more background: http://universalities.com/
What a yarn! Journalists are turning to #crochet to tell data stories
“I’m really interested in these beautiful, touchable representations of data that use texture to encode information in a way that our screens cannot reproduce.”
Day One of our cozy @ieeevis writing retreat has kicked off at the Northeastern Roux Institute campus in Portland Maine! Excited to see what folks submit this year 😍
Currently taking a #DataVisualization course for #Blind folks, and all I can say is that #VSCode is a prime example of why engineers should never be trusted to build good usable apps. No usability nor good design considerations at all, just a mish-mash of awful choices that aren't using common nor accepted #Accessible design patterns over on MacOS. Desktop apps aren't and shouldn't be websites and should take full advantage of what AppKit or what the native OS offers you in terms of controls.
For those interested in such things, here are four different cuts of the Office of Road and Rail 2021/22 passenger travel data projected onto a shortest-path network using the centre-line track-model.
These represent the passenger journey numbers either in a colour scale white-to-orange, scaled line width, or both.
The travel data was kindly provided by Alasdair Rae with the centre-line track-model by Peter Hicks through #OpenRailData.
Thanks to Enrico Bertini for sharing this awesome read by Connor Rothschild about a 'framework-first' aproach to #datavisualization. I've never seen #Svelte and #D3 compared for visualization so clearly before. Really well done.
I have ~13 000 individual timestamped JSON files, I would like to be able to plot all the numerical values and scrub through them to figure out what they represent (semi-documented solar inverter)
What's the best system for this? Most timeseries databases don't seem to handle the import of "old"/non-live data well