Edassistant: Supporting exploratory data analysis in computational notebooks with in situ code search and recommendation
Using computational notebooks (eg, Jupyter Notebook), data scientists rationalize their
exploratory data analysis (EDA) based on their prior experience and external knowledge …
exploratory data analysis (EDA) based on their prior experience and external knowledge …
Code duplication and reuse in Jupyter notebooks
AP Koenzen, NA Ernst… - 2020 IEEE symposium on …, 2020 - ieeexplore.ieee.org
Duplicating one's own code makes it faster to write software. This expediency is particularly
valuable for users of computational notebooks. Duplication allows notebook users to quickly …
valuable for users of computational notebooks. Duplication allows notebook users to quickly …
[图书][B] Visual analytics for data scientists
This textbook presents the main principles of visual analytics and describes techniques and
approaches that have proven their utility and can be readily reproduced. Special emphasis …
approaches that have proven their utility and can be readily reproduced. Special emphasis …
Aiding collaborative reuse of computational notebooks with annotated cell folding
Computational notebooks aim to support collaborative data analysis by combining code,
visualizations, and text in a single easily shared document. Yet, as notebooks evolve and …
visualizations, and text in a single easily shared document. Yet, as notebooks evolve and …
The case for data visualization management systems: vision paper
Most visualizations today are produced by retrieving data from a database and using a
specialized visualization tool to render it. This decoupled approach results in significant …
specialized visualization tool to render it. This decoupled approach results in significant …
Exploring the relationship between lattice distortion and phase stability in a multi-principal element alloy system based on machine learning method
J Huang, W Fang, C Xue, T Peng, H Yu, J Li… - Computational Materials …, 2023 - Elsevier
Lattice distortion is a basic characteristic of multi-principal element alloys (MPEAs), or high
entropy alloys (HEAs). The severe lattice distortion strategy is an effective way to improve …
entropy alloys (HEAs). The severe lattice distortion strategy is an effective way to improve …
“It's freedom to put things where my mind wants”: Understanding and improving the user experience of structuring data in spreadsheets
G Chalhoub, A Sarkar - Proceedings of the 2022 CHI Conference on …, 2022 - dl.acm.org
Despite efforts to augment or replace the 2-dimensional spreadsheet grid with formal data
structures such as arrays and tables to ease formula authoring and reduce errors, the …
structures such as arrays and tables to ease formula authoring and reduce errors, the …
Orienting, framing, bridging, magic, and counseling: How data scientists navigate the outer loop of client collaborations in industry and academia
Data scientists often collaborate with clients to analyze data to meet a client's needs. What
does the end-to-end workflow of a data scientist's collaboration with clients look like …
does the end-to-end workflow of a data scientist's collaboration with clients look like …
Characterizing automated data insights
Many researchers have explored tools that aim to recommend data insights to users. These
tools automatically communicate a rich diversity of data insights and offer such insights for …
tools automatically communicate a rich diversity of data insights and offer such insights for …
Finding their data voice: Practices and challenges of dashboard users
Dashboards are the ubiquitous means of data communication within organizations. Yet we
have limited understanding of how they factor into data practices in the workplace …
have limited understanding of how they factor into data practices in the workplace …