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There are so many libraries of visualization components nowadays with their APIs often different from one another. Could these components be more similar, both in terms of the APIs and common functionalities? For someone who is developing a new visualization component, how should the API look like? This work drew inspiration from visualization grammar, decoupled the grammar from its rendering engine and adapted it into a configurable grammar for individual components called Encodable. Encodable helps component authors define grammar for their components, and parse encoding specifications from users into utility functions for the implementation.

Encodable: Configurable Grammar for Visualization Components

Krist Wongsuphasawat

This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of different applications of information/data visualization and details on how each project was started and developed. These slides were from my (remote) guest lecture in InfoVis class for UC Berkeley iSchool on Apr 8, 2020 during the COVID-19 shelter-in-place. Thank you Prof. Marti Hearst for the invitation.

6 things to expect when you are visualizing (2020 Edition)

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Increasing the Impact of Visualization Research

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This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of 3 different applications of information/data visualization and details on how each project was started and developed. These slides were from my guest lecture in InfoVis class at (1) InfoVis class at UC Berkeley iSchool on Feb 27, 2017. Thank you Prof. Marti Hearst for the invitation. (2) DataVis class at GATech on Apr 5, 2017. Thank you Prof. Rahul C. Basole for the invitation.

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ร้อยเรื่องราวจากข้อมูล / Storytelling with Data

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You may not be sure how Lord Varys collects information from his little birds, but in this talk you will hear how we can collect information from our little birds. @kristw shares a behind-the-scenes view of his latest data visualization project, which shows how each #GameOfThrones episode was discussed on Twitter. Using data visualization, we can extract and reveal the stories of every episode from fans’ Tweets. https://interactive.twitter.com/game-of-thrones These slides are from a talk given at Bay Area d3 User Group meetup on June 9, 2016. http://www.meetup.com/Bay-Area-d3-User-Group/events/231281298

Reveal the talking points of every episode of Game of Thrones from fans' conv...

Krist Wongsuphasawat

In this talk, I reflect on the tasks commonly involved in crafting visualizations and show examples of different applications of information/data visualization. Along this ride I will share my workflow, point out the common pitfalls and provide recommendations. These slides were from my guest lecture in InfoVis class at UC Berkeley iSchool on Apr 11, 2016. Thank you Prof. Marti Hearst for inviting.

What to expect when you are visualizing

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Adventure in Data: A tour of visualization projects at Twitter

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Logs & Visualizations at Twitter

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Data Visualization: A Quick Tour for Data Science Enthusiasts

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Slides from my talk at the IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 in Paris, France. ABSTRACT Logging user activities is essential to data analysis for internet products and services. Twitter has built a unified logging infrastructure that captures user activities across all clients it owns, making it one of the largest datasets in the organization. This paper describes challenges and opportunities in applying information visualization to log analysis at this massive scale, and shows how various visualization techniques can be adapted to help data scientists extract insights. In particular, we focus on two scenarios:\ (1) monitoring and exploring a large collection of log events, and (2) performing visual funnel analysis on log data with tens of thousands of event types. Two interactive visualizations were developed for these purposes: we discuss design choices and the implementation of these systems, along with case studies of how they are being used in day-to-day operations at Twitter.

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Data Visualization at Twitter

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I gave this presentation at Workshop on Interactive Language Learning, Visualization, and Interfaces / ACL 2014 in Baltimore, MD on June 27, 2014. http://nlp.stanford.edu/events/illvi2014/index.html ABSTRACT Everyday on Twitter, there are millions of thoughts that are captured and shared to the world in the form of 140-character messages, or Tweets. There are many things we could learn from these thoughts if we could figure out a way to digest this gigantic dataset. Visualization is one of the many ways to extract information from these Tweets. In this presentation, I will talk about several visualizations based on Tweets, as well as share experiences and challenges from working with Tweet data.

Making Sense of Millions of Thoughts: Finding Patterns in the Tweets

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From Data to Visualization, what happens in between?

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My talk at the Data Visualization Summit in San Francisco April 11, 2013 http://theinnovationenterprise.com/summits/data-visualization-sf ---------------- Abstract ---------------- Many aspects of our lives can be captured and described as series of events, or event sequences. These event sequences can be keys to understanding many things: medical services, logistics, sports, user behavior, etc. In this presentation, I will talk about techniques for visualizing event sequences, from simple to advance, and also show examples that demonstrate the power of visualizations in exploring and understanding event sequences.

Visualization for Event Sequences Exploration

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Krist Wongsuphasawat's Dissertation Proposal Slides: Interactive Exploration ...

Krist Wongsuphasawat

My presentation at IEEE VisWeek 2012 in Seattle, WA //// Abstract: Event sequence data is common in many domains, ranging from electronic medical records (EMRs) to sports events. Moreover, such sequences often result in measurable outcomes (e.g., life or death, win or loss). Collections of event sequences can be aggregated together to form event progression pathways. These pathways can then be connected with outcomes to model how alternative chains of events may lead to different results. This paper describes the Outflow visualization technique, designed to (1) aggregate multiple event sequences, (2) display the aggregate pathways through different event states with timing and cardinality, (3) summarize the pathways’ corresponding outcomes, and (4) allow users to explore external factors that correlate with specific pathway state transitions. Results from a user study with twelve participants show that users were able to learn how to use Outflow easily with limited training and perform a range of tasks both accurately and rapidly.

Outflow: Exploring Flow, Factors and Outcome of Temporal Event Sequences

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Information Visualization for Knowledge Discovery

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