Alexis Pister

[Alexis Pister @apister2]

Check out our work on interactive pattern explanation for network visualization at #ieeevis, kudos to Xinhuan for leading this!

[Xinhuan Shu @shuxinhuan]

💡 How can we help analysts learn unfamiliar visualizations?
📢I’ll present our new paper at #ieeevis on Friday! We propose an interactive technique to explain visual patterns in network visualizations and support vis learning. Don’t miss it!
paper: https://t.co/zMq4rUeXbo

[Southpaw Swade @SouthpawSwade]

A jazz record will do the greatest thing you’ve ever heard for like 12 seconds and never come back to that motif

[Alexis Pister @apister2]

@phl43 Your awareness of your insufferableness makes you in a way less insufferable

[Alexis Pister @apister2]

Join us at the second (hybrid) #edinburgh #dataviz #meetup on Thursday 30th May, we will discuss about exciting new tools for network visualization! https://t.co/81Ulfx2uTn
@shuxinhuan @uta_ente @benjbach @vishublab @UoE_EFI

[Alexis Pister @apister2]

The Edinburgh Data Visualisation Meetup is back on the 25/04 with a talk from Niamh Henry and Tomas Vancisin from PeaceRep, about how to visualise peace process trajectories. All the details are in the link, don't hesitate to come by! 🤓📊

https://t.co/WROfQgVfge

[frog @monofrogue]

Heard joke once: man goes to doctor. Says he's depressed. Says life seems harsh and cruel. Says he feels all alone in a threatening world where what lies ahead is vague and uncertain. Doctor says, "Treatment is simple. Great clown Pagliacci is in town tonight. Go and see him."

[Alexis Pister @apister2]

@TomDuscher @shuxinhuan Thanks!

[Alexis Pister @apister2]

Very happy to have been the student volunteer chair of #infoplus2023 with @shuxinhuan, it was a lot of fun, the talks, people, and the exhibition were all great, and huge thanks to all the SVs!!

[Alexis Pister @apister2]

Happy to share that I joined @vishublab and @UoE_EFI last week as a data visualization engineer! Looking forward to building cool vis stuff🤓

[Nathan Yau @flowingdata]

There were 4,708 household types in the U.S., based on the 2021 American Community Survey. Here's the 40 most common.

[Alexis Pister @apister2]

You can check all my contributions on this page: https://t.co/tlcYNn4MUe. The challenge was a lot of fun 🤓

[Alexis Pister @apister2]

Here are my 2 final contributions to #30DayChartChallenge to end with 20 charts: Hare/lynx population evolution (down/upwards) and personal cold showers calendar (tiles)

[Alexis Pister @apister2]

@plotset Sure, link: https://t.co/q0w3GkPUMX
code: https://t.co/VX70CY5OhQ

[Alexis Pister @apister2]

#30DayChartChallenge | Day 15: Positive/negative | Simpson's paradox with the Iris dataset (did not find a more exciting dataset today).

[Alexis Pister @apister2]

Link here: https://t.co/j4qs62D76L
Made with Bertin.js, thanks @neocartocnrs for the great library!

[Alexis Pister @apister2]

#30DayChartChallenge | Day 18: Eurostat | Imports and exports of goods and services of European countries in 2022.

[Alexis Pister @apister2]

Quick arc diagram for day 17 of #30DayChartChallenge | Networks. The neural network of C. elegans

[Alexis Pister @apister2]

@Niels_Bremen @30DayChartChall The books are great!
I did not find one for the genealogy, so I took the data manually from https://t.co/jc15R7z70t

[Alexis Pister @apister2]

#30DayChartChallenge | Day 16: Family | Dune novel's main characters' family tree.

[Alexis Pister @apister2]

Inspirations from https://t.co/XXeBt1nBxR and https://t.co/FUpLS3okPl

[Alexis Pister @apister2]

Also, probably not the best example since the correlation on the whole data is very low