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Dead or Alive: Continuous Data Profiling for Interactive Data Science.

, , , and . IEEE Trans. Vis. Comput. Graph., 30 (1): 197-207 (January 2024)

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Dead or Alive: Continuous Data Profiling for Interactive Data Science., , , and . IEEE Trans. Vis. Comput. Graph., 30 (1): 197-207 (January 2024)Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis., , , and . CHI, page 97:1-97:10. ACM, (2022)FairVis: Visual analytics for discovering intersectional bias in machine learning, , , , , and . 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), page 46--56. IEEE, (2019)Dead or Alive: Continuous Data Profiling for Interactive Data Science., , , and . CoRR, (2023)Strategies for Reuse and Sharing among Data Scientists in Software Teams., , , and . ICSE (SEIP), page 243-252. IEEE, (2022)Leveraging Analysis History for Improved In Situ Visualization Recommendation., , , , , , and . Comput. Graph. Forum, 41 (3): 145-155 (2022)A Declarative Specification for Authoring Metrics Dashboards., , , , and . CoRR, (2023)RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization., , , , , , , and . CoRR, (2021)RECAST: Interactive Auditing of Automatic Toxicity Detection Models., , , , , , , and . CCHI, page 80-82. ACM, (2020)FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning., , , , , and . VAST, page 46-56. IEEE, (2019)