Uber Visualization Night: A Journey Through Space and Time

The evening will start off covering different representations of time for effective visualizations, then jump into how to process and render millions of points for 3D visualizations of self-driving cars, and wrap up on Google’s quickdraw data findings.

Uber Visualization Nights is a meetup series about designing and building large-scale visualizations and their applications. This is the first of its kind in our Seattle office.

More details about the talks:

Matt Brehmer, Microsoft

Expressive Storytelling with Timelines

Timelines have been used for centuries to visually communicate stories about sequences of events, from historical and biographical data to project plans and medical records. Depending on how a timeline is drawn, different types of insights and temporal characteristics can be emphasized, such as those relating to event order, periodicity, or synchronicity. In this talk, I will present a design space for expressive storytelling with timelines, one grounded in a survey of hundreds of timelines published over the course of history.

Xiaoji Chen, Uber

Geospatial visualization of self-driving cars

Processing and rendering millions of points (http://eng.uber.com/data-viz-Intel/) in the browser can be challenging, but is an ever-growing need at a data-centric company like Uber where users gather insights from large datasets. Deck.gl (https://uber.github.io/deck.gl/#/), an open-source JavaScript framework harnessing WebGL, was built to solve this problem. Specifically, how its leveraged for our self-driving car.

Latest coverage:-

https://eng.uber.com/atg-dataviz/

https://techcrunch.com/2017/08/28/uber-shows-off-its-autonomous-driving-programs-snazzy-visualization-tools/amp/

https://www.androidheadlines.com/2017/08/uber-details-its-self-driving-visualization-software.html

Jim Vallandingham, Bocoup

Histograms to View Oodles of Doodles from Google

In this talk, Jim Vallandingham will take us through his recent exploration of a newly released drawing dataset from Google. We will look at some amazing prior work from other visualizers and then dive into the beauty and the power of the humble histogram.

Agenda:

5:30 pm - 6:00 pm: Doors open w/ food + drinks

6:00 pm - 6:10 pm: Welcome by Nicolas Belmonte, Head of Visualization @ Uber

6:10 pm - 6:30 pm: Talk #1 (Matthew Brehmer, Microsoft)

6:30 pm - 6:50 pm: Talk #2 (Xiaoji Chen, Uber)

6:50 pm - 7:10 pm: Talk #3 (Jim Vallandingham, Boucoup)

7:10 pm - 7:30 pm: Open Q&A

7:30 pm - 8:00 pm: Hangout and mingle

Please contact [masked] with any questions.