While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult--but not impossible. With this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives.;Introduction -- Goals -- Data sources -- Streaming your data -- Processing streaming data for visualization -- Developing a client -- Presenting streaming data -- Visualization components -- Streaming analysis -- Workflow visualization -- Streaming data dashboard -- Machine learning -- Collaboration -- Exports -- Use cases -- Summary and references.