Stem and leaf plots extended for text visualizations

Richard Brath; Ebad Banissi

doi:10.1109/CGiV.2017.32

Stem and leaf plots extended for text visualizations

Richard Brath, Ebad Banissi

Chemical and Energy Engineering

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

© 2017 IEEE. Stem and leaf plots are data dense visualizations that organize large amounts of micro-level numeric data to form larger macro-level visual distributions. These plots can be extended with font attributes and different token lengths for new applications such as n-grams analysis, character attributes, set analysis and text repetition.

Original language	English
DOIs	https://doi.org/10.1109/CGiV.2017.32
Publication status	Published - 21 May 2018
Event	14th International Conference on Computer Graphics, Imaging and Visualization - Duration: 21 May 2018 → …

Conference

Conference	14th International Conference on Computer Graphics, Imaging and Visualization
Period	21/05/18 → …

Access to Document

10.1109/CGiV.2017.32Licence: CC BY 4.0

Cite this

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title = "Stem and leaf plots extended for text visualizations",

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AB - © 2017 IEEE. Stem and leaf plots are data dense visualizations that organize large amounts of micro-level numeric data to form larger macro-level visual distributions. These plots can be extended with font attributes and different token lengths for new applications such as n-grams analysis, character attributes, set analysis and text repetition.

U2 - 10.1109/CGiV.2017.32

DO - 10.1109/CGiV.2017.32

M3 - Paper

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Stem and leaf plots extended for text visualizations

Abstract

Conference

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