Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Visualizing the health of the internet with Measurement Lab

Irene Ros (Bocoup)
14:0514:45 Thursday, 25 May 2017
Visualization & user experience
Location: Capital Suite 15/16
Level: Beginner
Average rating: ***..
(3.00, 1 rating)

Who is this presentation for?

  • Data visualization experts and engineers working with large data

Prerequisite knowledge

  • Familiarity with the conceptual or technical challenges around working with large data
  • An understanding of or experience with creating data visualizations

What you'll learn

  • Explore M-Lab's project to develop a data processing pipeline, API, and visualizations to make its data more accessible
  • Learn how to plan an pipeline for the purposes of visualization and how to get to the right visualizations when working with so much data
  • Understand the challenges around working with large datasets and resources on addressing them


Measurement Lab (M-Lab)—the largest collection of open internet performance data on the planet—collects hundreds of thousands of consumer internet performance tests daily and provides that data in the public domain for research, analysis, and advocacy. Data has been piling up since 2009 (over five petabytes of information about the quality of experience on the internet), and more data is generated every day. Big data at this scale presents interesting challenges for everything from readability, visualization, and navigation to public access and affordability. The M-Lab data allows anyone to explore how their internet experience is mediated by all of the various actors that make up the internet.

Irene Ros shares recent work with the M-Lab team to develop a data processing pipeline, API, and visualizations to make the data more accessible to anyone interested in exploring open internet through consumer measurements, exploring both the technical and design aspects of the project.

Photo of Irene Ros

Irene Ros


Irene Ros is the director of data visualization at Bocoup and the program chair of OpenVis Conf, a two-day conference on data visualization on the open web. Irene is an information visualization researcher and developer, making engaging, informative, and interactive data-driven stories, experiences, and exploratory interfaces on the web. Previously, she was a research developer at IBM Research’s Visual Communication Lab. Irene holds a BS in computer science from the University of Massachusetts Amherst.