Alexis Pister
@apister2
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Check out our work on interactive pattern explanation for network visualization at #ieeevis, kudos to Xinhuan for leading this!
💡 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
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A jazz record will do the greatest thing you’ve ever heard for like 12 seconds and never come back to that motif
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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
meetup.com
This talk presents two of our latest visualization tools to help you with network visualisation: **The Vistorian** ([https://vistorian.github.io/vistorian/](https://vistor
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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
meetup.com
Conflict seems ever-present at the moment. In too many places, wars and disputes flare up and rumble on, and peace-making efforts follow in their wake. But all too often, t
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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."
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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!!
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Happy to share that I joined @vishublab and @UoE_EFI last week as a data visualization engineer! Looking forward to building cool vis stuff🤓
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There were 4,708 household types in the U.S., based on the 2021 American Community Survey. Here's the 40 most common.
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You can check all my contributions on this page: https://t.co/tlcYNn4MUe. The challenge was a lot of fun 🤓
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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)
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Link here: https://t.co/j4qs62D76L Made with Bertin.js, thanks @neocartocnrs for the great library!
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#30DayChartChallenge | Day 18: Eurostat | Imports and exports of goods and services of European countries in 2022.
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Quick arc diagram for day 17 of #30DayChartChallenge | Networks. The neural network of C. elegans
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Also, probably not the best example since the correlation on the whole data is very low
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#30DayChartChallenge | Day 15: Positive/negative | Simpson's paradox with the Iris dataset (did not find a more exciting dataset today).
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#30DayChartChallenge | Day 13: Pop culture | Movies revenues and budgets. The Blair Witch Project and Paranormal Activity were pretty good investments 💰💵💸
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Evolution of annual hours worked in OECD countries using ggplot2 for the 1st time for day 14 (new tool) of #30DayChartChallenge and its BBC-themed version for day 12 (BBC theme day)
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