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#6 Dataviz – How to Visualize Uncertainty?

Oct 15, 2019 · Lisboa, Portugal

Welcome to our 6th meetup. We are back from summer break and this time with a different format: let's have a discussion!

But because we want everyone to get involved we need to limit the seats to 25. Save yours asap!


18:45 👋 Welcome
19:00 🎙 DataViz Critique session
19:15 💬 'How to visualize uncertainty' presentation and discussion by Feedzai Data Visualization team
19:45 📢 Open discussion (bring your own questions to the table!)
20:00 📊 End of Event

******* What to expect *******

The idea is to have an informal discussion around data visualization best practices, starting with a series of critiques and possible remakes of graphs and then focusing on a more specific topic: Uncertainty in Data Visualization.

When we see a data point drawn as solid point, it’s easy to consider it “the truth”. Sometimes that might be appropriate, but since nearly every data set we work with has some uncertainty, we must know how to represent it in case we want to tell the entire story. That should happen more often than not. Let's keep the discussion flowing 📈 🚀.

Here are some additional perspectives and resources related to this topic:




In the end, we will have an open discussion where we will be addressing questions on different topics. The aim is to learn with each other and ultimately create better visualizations.

Free to attend! Open to anyone interested in data visualization.


Big thanks to Feedzai for hosting us and sponsoring the event 💥

Event organizers
  • Data Visualization Lisboa

    These days data is everywhere! Knowing how to extract the information "hidden" in the data can make a difference, regardless of your occupation. The topics are often strongly interdisciplinary, as well the tools you can use. Take home ideas to level up your skills with tools like Excel, Tableau or Power BI. Or if you wish to get to the next level using R, Python or even D3.js, this will be the meetup for you as well. We want to bring together absolute beginners, professionals or people who are enthusiastic

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