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Data visualization

Beyond Line Charts • Yao Yue • YOW! 2025

Beyond Line Charts • Yao Yue • YOW! 2025

Yao Yue challenges the dominance of line charts in telemetry visualization, arguing that their time-centric nature and misleading interpolations often obscure insights. She proposes a 'form follows function' approach, advocating for visualizations tailored to the data's shape, the metric's type (e.g., step charts for counters, heatmaps for histograms), and the specific, often 'timeless,' operational questions being asked. The key is to transform time-series data into more flexible formats like panel data to derive clearer, more direct answers.

Why Physical AI Needs a new Data Set | Rerun CEO

Why Physical AI Needs a new Data Set | Rerun CEO

Nikolaus West, CEO of Rerun, explains how their data logging and visualization platform, built on an Entity Component System (ECS) inspired by gaming, is unlocking new capabilities in physical AI. He discusses the rapid progress in robot manipulation through imitation learning, the gap between impressive demos and real-world products, and the critical need for better data tooling to handle complex, multi-rate sensor data in robotics and AR/VR.

The Pathologies of Big "Messy" Data in Telco • Jay Fenton • YOW! 2015

The Pathologies of Big "Messy" Data in Telco • Jay Fenton • YOW! 2015

Jay Fenton discusses the challenges of "big messy data" in the telecommunications industry, highlighting how legacy systems fail to handle the scale and complexity. He presents a suite of modern tools, including Graphistry, IPython, and D3.js, for large-scale data visualization and analysis, advocating for a "human-computer symbiosis" to empower engineers in managing complex networks.