lace, to random

Passionate about and considering a Ph.D. in CS or PSY? Dive into this list of exciting open positions – including one with me! Check it out and spread the word! 📊🎓 https://vis-phd-positions.netlify.app

bbelderbos, to python
@bbelderbos@fosstodon.org avatar

Every wondered how to make plots in the terminal? 💡 😎

Plotext (PyPI) makes this a breeze. Here is a quick demo where I use it to plot PyBites Platform growth over the years 📈

https://youtu.be/CA6voSE5Ki0?si=avLrIQIbQhUWOFaN

pixel, to money
@pixel@social.pixels.pizza avatar
pixel, to design
@pixel@social.pixels.pizza avatar

How to design a useful (and fun!) color key for your data visualization - Datawrapper Blog


https://blog.datawrapper.de/color-keys-for-data-visualizations/

stevensanderson, to random
@stevensanderson@mstdn.social avatar

📢 Exciting news! Learn to visualize categorical data in R with these engaging charts:

1️⃣ Barplots with ggplot2's geom_bar()

2️⃣ Grouped boxplots with base R and ggplot2

3️⃣ Mosaic plots

🔍 Check out the guide here: https://www.spsanderson.com/steveondata/posts/2023-08-29/
🔬 Experiment with your own data and uncover valuable insights!

#R

image/png

wnd, to random
@wnd@fosstodon.org avatar
wnd,
@wnd@fosstodon.org avatar

The Voronoi simplification is by segmenting buffer lines into equal sections, identifying segment end-points, calculating the Voronoi polygons, and identify the centre-line

Road-loop with its buffer line in blue, segmented into equal segments, the corresponding Voronoi polygons in green

wnd, to Futurology
@wnd@fosstodon.org avatar

As a follow up from yesterday's post about network simplification, here is an approach based on Voronoi polygon to create the simplified network

kubikpixel, (edited ) to opensource German
@kubikpixel@chaos.social avatar

Don't us Excel, work professional with @LabPlot do vizualise data.

💻 https://labplot.kde.org

--

ramikrispin, to llm
@ramikrispin@mstdn.social avatar

Automatic Generation of Visualizations and Infographics with LLMs 🚀🚀🚀

Microsoft released this cool application for creating data visualization with a language model - LIDA. The tool enables the creation of data visualization with the use of prompts. Demo available here 👇

https://vimeo.com/820968433

➡ Installation:
pip install lida

Resources 📚
Documenation: https://microsoft.github.io/lida/
Code: https://github.com/microsoft/lida

janriemer, to ArtificialIntelligence

This is beautiful!

Watching Neural Networks Learn - by Emergent Garden

https://farside.link/https://www.youtube.com/watch?v=TkwXa7Cvfr8
(or YT: https://www.youtube.com/watch?v=TkwXa7Cvfr8)

An explanation on how neural networks and function approximation work, supported by beautiful visuals. ✨ 🎨

elias, to python
@elias@seocommunity.social avatar

Analyzing SERPs on a large scale with and

The recording is now available

🔵 Creating a large set of queries in an industry
🔵 Creating query variants
🔵 Running the requests in bulk
🔵 Running the requests across various dimensions (country, language, etc)
🔵 Visualizing the results with a heatmap

https://bit.ly/3E321Fi

HxxxKxxx, to ML
@HxxxKxxx@det.social avatar

„There Is a Digital Art History“

Great new publication by @zentralwerkstatt et al. delves into the transformative potential of large-scale vision models, epistemic implications and methodological shifts.
📄 https://doi.org/10.48550/arXiv.2308.07464

stevensanderson, to random
@stevensanderson@mstdn.social avatar

The curve() Function in R! 🌟

Why should you give it a go?

✅ Gain a deeper understanding of mathematical functions.
✅ Visualize complex concepts with ease.
✅ Explore the versatility of R programming.
✅ Enhance your data analysis and visualization skills.

Remember, practice makes perfect!

#r

Post: https://www.spsanderson.com/steveondata/posts/2023-08-16/

image/png

janeadams, to Astronomy
@janeadams@vis.social avatar

I'm delighted to be presenting two papers and two artworks at in Melbourne Australia this October! 🐨

for Scholarly Publication of 3D Visualizations in ” (Short Papers). Jane Adams, Laura South, Arzu Çöltekin, Alyssa Goodman, and Michelle Borkin

for : A Survey and Provocation for Teaching Deployment of ” (alt.VIS workshop) Jane Adams

“Latent Prism” (Jane Adams) and "Eco-Mending" (Racquel Fygenson & Jane Adams) @visap

Marconius, to vscode
@Marconius@mas.to avatar

Currently taking a course for folks, and all I can say is that 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 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.

stevensanderson, to opensource
@stevensanderson@mstdn.social avatar

Ever wondered how to tweak margins, jazz up colors, or adjust font sizes in your R plots? Look no further! With par(), you're in control. 🎉

🔥 Level up your data viz skills and stand out from the crowd. The par() function is your key to data storytelling like never before. Don't just read—dive in, code, and watch your visualizations come alive. 📊💡

#R

Post: https://www.spsanderson.com/steveondata/posts/2023-08-09/

lace, to random

I am beyond honored and humbled to receive an NSF CAREER award! Thank you to the community for your boundless support and mentorship.

https://www.khoury.northeastern.edu/clarity-or-uncertainty-in-her-visualizations-nsf-career-awardee-lace-padilla-balances-both/

I'm also now inviting driven students to apply for graduate positions and join me at Northeastern University 🚀📈.

https://vis.khoury.northeastern.edu/

wnd, to random
@wnd@fosstodon.org avatar
sirhc, to opensource
@sirhc@fosstodon.org avatar

using some experimental @napari features to load in AMR data on the fly:

https://youtu.be/ofoURuz-Cbw

a bit of lag, but the fact that this works at all is blowing my mind.

The dataset here is one of yt's test datasets, DeeplyNestedZoom, a cosmology simulation with 40 levels of grid refinement.

janeadams, to random
@janeadams@vis.social avatar

Has anyone gotten @visap decisions back?

janeadams, (edited ) to random
@janeadams@vis.social avatar

Wowow the alt.VIS submissions look so cool!! I can't wait to dive into these :datavizcamp:

If you want to read them and review, thereby helping to shape the form and function of this very alternative workshop, you can do so in PCS: https://new.precisionconference.com/reviews

"Volunteer to review" > "VGTC" > "alt.VIS Workshop"

You don't need to be attending , or have a PhD, just a passion for and the ability to write kind, constructive feedback 🥰

About alt.VIS: https://altvis.github.io/

pixel, to Dragonlance
@pixel@social.pixels.pizza avatar

This map juxtaposes nations and Indian states to provide a new perspective on the world's soon-to-be most populous country


https://www.visualcapitalist.com/population-of-india-compared-with-countries/

pixel, to random
@pixel@social.pixels.pizza avatar

Global oil production averaged 89.8 million barrels of oil per day in 2021. Here are the world's largest oil producers.


https://www.visualcapitalist.com/visualizing-the-worlds-largest-oil-producers/

janeadams, to random
@janeadams@vis.social avatar

Another year, another weird alt.VIS submission 🤪

Deadline 7/7 11:59pm AOE

CFP: https://altvis.github.io/

Sign up to review on PCS!

Don't miss the third annual alt.VIS workshop at this fall in Melbourne 🦘

smach, to rstats
@smach@masto.machlis.com avatar

If you use RStudio to write R code but aren’t using code snippets, you may want to check them out. They can be a big timesaver!
I did a tutorial article & video a few years ago: https://www.infoworld.com/article/3396616/how-to-use-rstudio-code-snippets.html

@rstats

frankhaenel,

@smach @rstats 📢 Exciting read! 💻 "Code snippets" are like productivity boosters for developers! They are indeed time-savers and make coding a breeze. 📊

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