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Showing 1 to 10 of 10 for “"Computational Notebooks"”.

  1. Automatic Restoration and Management of Computational Notebooks

    Computational Notebook platforms are very commonly used by programmers and data scientists. However, due to the interactive development environment of notebooks, developers struggle to maintain effective code organization which has an adverse effect on their productivity. In this thesis, we …

    vt Repository record for Automatic Restoration and Management of Computational Notebooks (opens in a new tab)

  2. Enhancing computational notebooks with code+data space versioning

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01

    uiuc Repository record for Enhancing computational notebooks with code+data space versioning (opens in a new tab)

  3. 2D Jupyter: Design and Evaluation of 2D Computational Notebooks

    Computational notebooks are a popular tool for data analysis. However, the 1D linear structure used by many computational notebooks can lead to challenges and pain points in data analysis, including messiness, tedious navigation, inefficient use of screen space, and presentation of non-linear …

    vt Repository record for 2D Jupyter: Design and Evaluation of 2D Computational Notebooks (opens in a new tab)

  4. Design and Evaluation of Spatialized 2D Computational Notebooks for Data Science

    Computational notebooks are a popular tool for data science due to their ability to interleave text documentation, code, and results, including visuals, into a computational narrative. However, they have certain limitations which may be caused or exacerbated by the linear, top-down, 1D organization …

    vt Repository record for Design and Evaluation of Spatialized 2D Computational Notebooks for Data Science (opens in a new tab)

  5. Charting EDA: Characterizing Interactive Visualization Use in Computational Notebooks with a Mixed-Methods Formalism

    … scientists analyzing two datasets with Jupyter notebooks, collecting a rich dataset of interaction traces and think-aloud utterances. By qualitatively coding participant utterances, we introduce a formalism that describes EDA as a sequence of analysis states, where each state is comprised of …

    mit Repository record for Charting EDA: Characterizing Interactive Visualization Use in Computational Notebooks with a Mixed-Methods Formalism (opens in a new tab)

  6. ICoN: Immersive Computational Notebook for Data Science

    Computational notebooks are widely used in data science, offering an interface that integrates code, documentation, visualizations, and data within a single environment. However, as data analysis becomes increasingly complex, the traditional WIMP (Windows, Icons, Menus, Pointers) interface faces …

    vt Repository record for ICoN: Immersive Computational Notebook for Data Science (opens in a new tab)

  7. LEO: an LLM-Powered EDA Overview

    Computational notebooks impose a linear structure that impedes data analysts’ sensemaking process with overwritten cells, dead-end code, and fragmented logic. This challenge is especially pronounced when analysts either encounter a notebook authored by someone else or revisit a self-authored …

    mit Repository record for LEO: an LLM-Powered EDA Overview (opens in a new tab)

  8. Assisting data exploration via in-situ adaptive visualizations

    … from data preparation and cleaning tools like computational notebooks. To address these challenges, we introduce Lux, a visualization recommendation library that automatically generates useful insights for data exploration, and seamlessly integrates into a user’s data exploration workflow by …

    uiuc Repository record for Assisting data exploration via in-situ adaptive visualizations (opens in a new tab)

  9. Leveraging distributional context for safe and interactive data science at scale

    … and (v) finally, for error-prone interactions in computational notebooks, we demonstrate approximate lineage-capture techniques that warn data scientists of unsafe cell executions for many cases encountered in practice."

    uiuc Repository record for Leveraging distributional context for safe and interactive data science at scale (opens in a new tab)

  10. Comparison of Computational Notebook Platforms for Interactive Visual Analytics: Case Study of Andromeda Implementations

    … to choose for implementing visual analytics notebooks. In this work, we investigated the problem using Andromeda, an interactive dimension reduction algorithm, and implemented it using three different notebook platforms: 1) Python-based Jupyter Notebook, 2) JavaScript-based Observable …

    vt Repository record for Comparison of Computational Notebook Platforms for Interactive Visual Analytics: Case Study of Andromeda Implementations (opens in a new tab)