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Data Visualization

Visualization leverages human perception to make (potentially large) data accessible. The CMU Data Interaction Group develops new languages and tools for analysis and communication.

 

Students who want to learn more about this HCI research area might be interested in the following courses:

  • We built a visualization dashboard called Rx RiskMap that communicates and explains the results of a model to predict overdose risk across the state of Pennsylvania. The data shown is outdated and depicted for demonstration purposes only.

    Predicting and Visualizing Overdose Risk for Public Health

    PROJECT

    Overdose due to opioid misuse and abuse is currently a critical public health issue in the United States and worldwide. Machine learning (ML) approaches h...

  • Data Navigator provides visualization toolkits with rich, accessible navigation structures, robust input handling, and flexible, semantic rendering.

    Data Navigator

    PROJECT

    Data Navigator is a JavaScript library that allows for navigation of data structures. Data Navigator makes png, svg, canvas, and even webgl graphics acces...

  • A before and after that shows a data visualization's screen reader semantics have been improved.

    Chartability

    PROJECT

    Chartability is a set of heuristics (testable questions) for ensuring that data visualizations, systems, and interfaces are accessible. Chartability is or...

  • Zeno combines a Python API with an interactive user interface, which empowers users to explore, visualize and analyze data and ML model performance across custom use cases.

    CMU Researchers Release Zeno for Machine Learning Model Evaluation

    NEWS

    A team of Carnegie Mellon University researchers has released a new interactive platform for data management and machine learning (ML) evaluation called Zeno....