NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews
Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran
Abstract
Spreadsheet systems are by far the most popular platform for data exploration on the planet, supporting millions of rows of data. However, exploring spreadsheets that are this large via operations such as scrolling or issuing formulae can be overwhelming and error-prone. Users easily lose context and suffer from cognitive and mechanical burdens while issuing formulae on data spanning multiple screens. To address these challenges, we introduce dynamic hierarchical overviews that are embedded alongside spreadsheets. Users can employ this overview to explore the data at various granularities, zooming in and out of the spreadsheet. They can issue formulae over data subsets without cumbersome scrolling or range selection, enabling users to gain a high or low-level perspective of the spreadsheet. An implementation of our dynamic hierarchical overview, NOAH, integrated within DataSpread, preserves spreadsheet semantics and look and feel, while introducing such enhancements. Our user studies demonstrate that NOAH makes it more intuitive, easier, and faster to navigate spreadsheet data compared to traditional spreadsheets like Microsoft Excel and spreadsheet plug-ins like Pivot Table, for a variety of exploration tasks; participants made fewer mistakes in NOAH while being faster in completing the tasks.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b9348722-9282-4795-99fb-b7adccabbc7cCited by top-tier papers2
- Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop PerspectiveSajjadur Rahman, Eser KandoganCHI 2022 · 20 citations
- LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data LakesYihao Hu, Jin Wang, Sajjadur RahmanVLDB 2025 · 3 citations
Builds on1
Related papers
- "It's Freedom to Put Things Where My Mind Wants": Understanding and Improving the User Experience of Structuring Data in SpreadsheetsGeorge Chalhoub, Advait SarkarCHI 2022 · 21 citations
- Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the AuthorSruti Srinivasa Ragavan, Advait Sarkar, Andrew D. GordonCHI 2021 · 66 citations
- Untidy Data: The Unreasonable Effectiveness of TablesLyn Bartram, Michael Correll, Melanie ToryIEEE VIS 2021 · 56 citations
- Data-Semantics-Aware Recommendation of Diverse Pivot TablesWhanhee Cho, Anna FarihaSIGMOD 2026 · 4 citations
- Visual Cues for Data Analysis Features Amplify Challenges for Blind Spreadsheet UsersMinoli Perera, Bongshin Lee, Eun Kyoung Choe, Kim MarriottCHI 2024 · 3 citations
