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arxiv: 1808.10642 · v1 · submitted 2018-08-31 · 💻 cs.SE

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The use of Charts, Pivot Tables, and Array Formulas in two Popular Spreadsheet Corpora

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classification 💻 cs.SE
keywords spreadsheetsformulasresearchspreadsheetarraychartsconstructionsdecisions
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The use of spreadsheets in industry is widespread. Companies base decisions on information coming from spreadsheets. Unfortunately, spreadsheets are error-prone and this increases the risk that companies base their decisions on inaccurate information, which can lead to incorrect decisions and loss of money. In general, spreadsheet research is aimed to reduce the error-proneness of spreadsheets. Most research is concentrated on the use of formulas. However, there are other constructions in spreadsheets, like charts, pivot tables, and array formulas, that are also used to present decision support information to the user. There is almost no research about how these constructions are used. To improve spreadsheet quality it is important to understand how spreadsheets are used and to obtain a complete understanding, the use of charts, pivot tables, and array formulas should be included in research. In this paper, we analyze two popular spreadsheet corpora: Enron and EUSES on the use of the aforementioned constructions.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search

    cs.DB 2026-04 unverdicted novelty 6.0

    PiLLar is the first LLM-guided Monte-Carlo Tree Search framework for joint schema-value matching on pivot tables, achieving 87.94% average accuracy on a new benchmark PTbench derived from real-world domains.