Showing Missing Data in Line Charts
The M-Lab team has been working with Bocoup’s Data Visualization team to overhaul our visualizations and give all of you better support in exploring all of the Measurement Lab data. Look for more about that soon – and reach out via firstname.lastname@example.org if you are interested in helping with testing and user feedback!
M-Lab has lots of data, but depending on how you slice the data, you might end up with too small of a sample size on a given day in a given location. As part of designing the Observatory visualization, we came up with the idea of using dotted lines to show that we didn’t have a large enough sample size to assert the data value, but that leaving out the data would be incorrect as well. The Bocoup Team took that further and developed a new d3 plugin, d3-line-chunked, which allows you to easily visualize gaps in your data and has good animation support.
New Opportunities for Test Deployment and Continued Analysis of Interconnection Performance
Internet Observatory Updates and Improvements
Last October, Measurement Lab released the Internet Observatory, a data-visualization tool that enables consumers, policymakers, and researchers to better understand the impact of ISP relationships on Internet access and performance. The Observatory provides easier access to M-Lab’s rich dataset on network performance to reproduce the analysis in our report on “ISP Interconnection and its Impact on Consumer Internet Performance.”
New Features for M-Lab Internet Observatory
We launched the M-Lab Internet Observatory last week to provide a window into ISP performance, letting people see how ISPs in the US are doing compared to each other, and to view the way in which the connections between ISPs impact performance. We will be releasing additional features and views as we go, so keep an eye on the Observatory and the blog for updates about the features as we roll them out. This week, by popular demand, we’ve added some features that enable better interaction with and sharing of interesting views of M-Lab data: