What we're about

The goal of this group is to help to foster a data viz community here in Chicago. <3

The plan is to host talks, intro classes, discussion groups, hack sessions, etc. that revolve around advanced data visualization.

We want the encourage the data viz community of Chicago to be involved in this meetup in whatever way seems exciting for them. Have an idea for an event? Want to give a talk? Want to help organize? Perhaps you've been working on a really awesome data viz project that you wanna show off? Ping us!

Upcoming events (2)

The Magic Meter: How Viz Bridges the Gap from Data & Screen to Eye & Cognition

RSVPs WILL STOP BEING ACCEPTED AT 6PM THE DAY BEFORE THE EVENT. *****About the Talk***** Well crafted data visualizations are indistinguishable from magic: information miraculously transforms itself into visual shapes that leap from the computer screen across an open space of one meter into our eyes and brains for near instantaneous recognition of features and patterns. Really? How does that work? This talk with explore the foundations of visualization theory and how it applies to visualization practice. We will examine aspects of human vision, pre-attentive perception, visual encoding channels, color representation and more; all with an eye towards better understanding how the magic of data visualization works, and how we can use that understanding to craft ever more effective visualizations. *****About the Speaker***** Dr. Alan Keahey Vice President, Data Science Visualization Conversant Media Dr. Alan Keahey is Vice President for Data Science Visualization at Conversant Media, a global player in B2B digital marketing. His team is creating innovative visualization tools to reveal, explore and explain complex petabyte-scale digital economies spanning hundreds of millions of customers each defined by thousands of profile dimensions, across millions of content sites, generating trillions of daily interactions. These innovations are driving the design of next generation enterprise wide analytics and reporting at Conversant. Alan has played a leading role in the research and development of innovative data visualization systems for over 20 years. His experience spans a wide range of environments including National Labs Research Scientist, Research Director at a Lucent Bell Labs Venture Company, Founder and President of a visualization R&D company, Visualization Consultant to Fortune 500 companies and Senior Data Visualization Scientist at IBM Watson. He has published seminal papers in the field of information visualization, patented a wide number of visualization techniques, and architected several significant visualization systems across different domains and technology bases. A regular speaker at both research and commercial conferences, he thrives on finding common ground between the innovations created in research environments and the real-world needs of business customers. *****Other Notes***** Agenda: 6:00 - 6:30: mingling and settling in; food and drinks provided by ShopRunner 6:30 - 7:15: Alan's Talk 7:15 - 7:25: Q&A 7:25 - 8:00: more mingling and noms Thanks to ShopRunner for hosting and providing food and drinks! RSVPs WILL STOP BEING ACCEPTED AT 6PM THE DAY BEFORE THE EVENT. An ID will be required to enter. (Please reach out if this is an issue for you.) Gender-neutral bathrooms available at this location. And as always, if you are interested in giving a talk or being involved in the organization of the Chicago Data Viz Community meetup in some way, reach out! :)

Seeing What We (Should) Think Through Visualization Interaction

*****About the Talk***** Charts, graphs, and other information visualizations enhance cognition by allowing users to visually perceive trends and differences in data. While most visualization guidelines dictate how to choose visual encodings and metaphors that will maximize easy reading of the data, it is less obvious how to design visualizations that encourage good decisions and critical thinking about data. Jessica will address several challenges that have to be overcome for visualizations to truly help users reason about data. First, people's intuitions about how reliable data is often conflict with statistical measures of uncertainty. Jessica will describe how visualization techniques for conveying uncertainty by showing a set of sample outcomes can improve non-experts' ability to understand and make decisions from data. Second, people often bring prior beliefs and expectations about data-driven phenomena to their interactions with data (e.g., I suspect support for candidate A is higher than survey respondents reported) which influence their interpretations. Most visualization design and evaluation methods do not account for these influences. Jessica will describe why prior beliefs should matter in visualization interaction and how to create visualizations that encourage users to reflect on their expectations, including a publicly available line chart tool my lab has created to make this easier. *****About the Speaker***** Jessica Hullman is an Assistant Professor in Computer Science and Journalism at Northwestern. The goal of her research is to develop computational tools that improve how people reason with data. She is particularly inspired by how science and data are presented to non-expert audiences in data and science journalism, where the goal of conveying a clear story often conflicts with goals of transparency and faithful presentation of uncertainties. Her current research aims to develop uncertainty techniques and interactive visualizations that enable users to articulate prior beliefs and make more informed decisions. Jessica's research has been supported by the NSF (CRII, CAREER), Navy, Google, Tableau, and Adobe.Prior to joining Northwestern in 2018, she spent three years as an Assistant Professor at the University of Washington Information School. She completed her Ph.D. at the University of Michigan and spent a year as the inaugural Tableau Software Postdoctoral Scholar in Computer Science at the University of California Berkeley in 2014. *****Other Notes***** Agenda: 6:00 - 6:30: mingling and settling in; food and drinks provided by Braintree 6:30 - ~7:15: Jessica Hullman speaks ~7:15 - 8:00: more mingling and food Thanks to Braintree for hosting and providing drinks and noms! RSVPs will stop being accepted at noon on the day of the event. An ID will be required to enter. (Please reach out if this is an issue for you.) Gender-neutral bathrooms available at this location. And as always, if you are interested in giving a talk or being involved in the organization of the Chicago Data Viz Community meetup in some way, reach out! :)

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