How Data Analysts Use a Visualization Grammar in Practice
Author:
Affiliation:
1. University of California, Merced, United States
2. Computer Science and Communication, Northwestern University, United States
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3544548.3580837
Reference81 articles.
1. Hannah Bako Alisha Varma Anuoluwapo Faboro Mahreen Haider Favour Nerrise Bissaka Kenah and Leilani Battle. 2022. Streamlining Visualization Authoring in D3 Through User-Driven Templates. 16–20 pages. Hannah Bako Alisha Varma Anuoluwapo Faboro Mahreen Haider Favour Nerrise Bissaka Kenah and Leilani Battle. 2022. Streamlining Visualization Authoring in D3 Through User-Driven Templates. 16–20 pages.
2. Exploring D3 Implementation Challenges on Stack Overflow
3. Leilani Battle and Alvitta Ottley. 2022. A Programmatic Definition of Visualization Tasks Insights and Objectives. https://doi.org/10.48550/arXiv.2206.04767 arxiv:2206.04767 [cs] 10.48550/arXiv.2206.04767
4. Leilani Battle and Alvitta Ottley. 2022. A Programmatic Definition of Visualization Tasks Insights and Objectives. https://doi.org/10.48550/arXiv.2206.04767 arxiv:2206.04767 [cs]
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1. Metrics-Based Evaluation and Comparison of Visualization Notations;IEEE Transactions on Visualization and Computer Graphics;2023
2. ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics;IEEE Transactions on Visualization and Computer Graphics;2023
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