Plot balalaika: Simple chart designs for long-tail distributed data

Mark M. Shovman; Ran Wolff

doi:10.1109/iV.2015.35

Plot balalaika: Simple chart designs for long-tail distributed data

Mark M. Shovman, Ran Wolff

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Current approaches to summarising large arrays of data for presentation and communication mostly comprise reporting means with, e.g., Bar-charts. These methods are well-suited for unimodal, ideally normally-or near-normally distributed data, but are misleading for long-tail distributions that comprise most of the Big Data. We propose a succinct visualisation format, parallel in simplicity to bar-charts, that is suitable for communicating the gist of long-tail distributions, and show its efficiency empirically.

Original language	English
Title of host publication	Proceedings - Information Visualisation
Subtitle of host publication	Computer Graphics, Imaging and Visualisation, IV 2015
Editors	Fatma Bouali, John Counsell, Sebastian Kernbach, Mark W. McK. Bannatyne, John Counsell, Chi Man Pun, Marjan Trutschl, Ebad Banissi, Weidong Huang, Gilles Venturini, Chun-Cheng Lin, Anna Ursyn, Remo Burkhard, Urska Cvek, Feng Lin, Theodor G. Wyeld, Jian J. Zhang, Martin J. Eppler, Georges Grinstein, Muhammad Sarfraz, Francis T. Marchese
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	148-151
Number of pages	4
ISBN (Electronic)	9781467375689
DOIs	https://doi.org/10.1109/iV.2015.35
State	Published - 18 Sep 2015
Externally published	Yes
Event	19th International Conference on Information Visualisation, IV 2015 - Barcelona, Spain Duration: 22 Jul 2015 → 24 Jul 2015

Publication series

Name	Proceedings of the International Conference on Information Visualisation
Volume	2015-September
ISSN (Print)	1093-9547

Conference

Conference	19th International Conference on Information Visualisation, IV 2015
Country/Territory	Spain
City	Barcelona
Period	22/07/15 → 24/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Data visualization
Human computer interaction

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition

Access to Document

10.1109/iV.2015.35

Cite this

Shovman, M. M., & Wolff, R. (2015). Plot balalaika: Simple chart designs for long-tail distributed data. In F. Bouali, J. Counsell, S. Kernbach, M. W. M. Bannatyne, J. Counsell, C. M. Pun, M. Trutschl, E. Banissi, W. Huang, G. Venturini, C.-C. Lin, A. Ursyn, R. Burkhard, U. Cvek, F. Lin, T. G. Wyeld, J. J. Zhang, M. J. Eppler, G. Grinstein, M. Sarfraz, ... F. T. Marchese (Eds.), Proceedings - Information Visualisation: Computer Graphics, Imaging and Visualisation, IV 2015 (pp. 148-151). Article 7272593 (Proceedings of the International Conference on Information Visualisation; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iV.2015.35

Shovman, Mark M. ; Wolff, Ran. / Plot balalaika : Simple chart designs for long-tail distributed data. Proceedings - Information Visualisation: Computer Graphics, Imaging and Visualisation, IV 2015. editor / Fatma Bouali ; John Counsell ; Sebastian Kernbach ; Mark W. McK. Bannatyne ; John Counsell ; Chi Man Pun ; Marjan Trutschl ; Ebad Banissi ; Weidong Huang ; Gilles Venturini ; Chun-Cheng Lin ; Anna Ursyn ; Remo Burkhard ; Urska Cvek ; Feng Lin ; Theodor G. Wyeld ; Jian J. Zhang ; Martin J. Eppler ; Georges Grinstein ; Muhammad Sarfraz ; Francis T. Marchese. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 148-151 (Proceedings of the International Conference on Information Visualisation).

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title = "Plot balalaika: Simple chart designs for long-tail distributed data",

abstract = "Current approaches to summarising large arrays of data for presentation and communication mostly comprise reporting means with, e.g., Bar-charts. These methods are well-suited for unimodal, ideally normally-or near-normally distributed data, but are misleading for long-tail distributions that comprise most of the Big Data. We propose a succinct visualisation format, parallel in simplicity to bar-charts, that is suitable for communicating the gist of long-tail distributions, and show its efficiency empirically.",

keywords = "Data visualization, Human computer interaction",

author = "Shovman, {Mark M.} and Ran Wolff",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 19th International Conference on Information Visualisation, IV 2015 ; Conference date: 22-07-2015 Through 24-07-2015",

year = "2015",

month = sep,

day = "18",

doi = "10.1109/iV.2015.35",

language = "English",

series = "Proceedings of the International Conference on Information Visualisation",

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editor = "Fatma Bouali and John Counsell and Sebastian Kernbach and Bannatyne, {Mark W. McK.} and John Counsell and Pun, {Chi Man} and Marjan Trutschl and Ebad Banissi and Weidong Huang and Gilles Venturini and Chun-Cheng Lin and Anna Ursyn and Remo Burkhard and Urska Cvek and Feng Lin and Wyeld, {Theodor G.} and Zhang, {Jian J.} and Eppler, {Martin J.} and Georges Grinstein and Muhammad Sarfraz and Marchese, {Francis T.}",

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Shovman, MM & Wolff, R 2015, Plot balalaika: Simple chart designs for long-tail distributed data. in F Bouali, J Counsell, S Kernbach, MWM Bannatyne, J Counsell, CM Pun, M Trutschl, E Banissi, W Huang, G Venturini, C-C Lin, A Ursyn, R Burkhard, U Cvek, F Lin, TG Wyeld, JJ Zhang, MJ Eppler, G Grinstein, M Sarfraz & FT Marchese (eds), Proceedings - Information Visualisation: Computer Graphics, Imaging and Visualisation, IV 2015., 7272593, Proceedings of the International Conference on Information Visualisation, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 148-151, 19th International Conference on Information Visualisation, IV 2015, Barcelona, Spain, 22/07/15. https://doi.org/10.1109/iV.2015.35

Plot balalaika: Simple chart designs for long-tail distributed data. / Shovman, Mark M.; Wolff, Ran.
Proceedings - Information Visualisation: Computer Graphics, Imaging and Visualisation, IV 2015. ed. / Fatma Bouali; John Counsell; Sebastian Kernbach; Mark W. McK. Bannatyne; John Counsell; Chi Man Pun; Marjan Trutschl; Ebad Banissi; Weidong Huang; Gilles Venturini; Chun-Cheng Lin; Anna Ursyn; Remo Burkhard; Urska Cvek; Feng Lin; Theodor G. Wyeld; Jian J. Zhang; Martin J. Eppler; Georges Grinstein; Muhammad Sarfraz; Francis T. Marchese. Institute of Electrical and Electronics Engineers Inc., 2015. p. 148-151 7272593 (Proceedings of the International Conference on Information Visualisation; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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A2 - Trutschl, Marjan

A2 - Banissi, Ebad

A2 - Huang, Weidong

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A2 - Lin, Chun-Cheng

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PB - Institute of Electrical and Electronics Engineers Inc.

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Shovman MM, Wolff R. Plot balalaika: Simple chart designs for long-tail distributed data. In Bouali F, Counsell J, Kernbach S, Bannatyne MWM, Counsell J, Pun CM, Trutschl M, Banissi E, Huang W, Venturini G, Lin CC, Ursyn A, Burkhard R, Cvek U, Lin F, Wyeld TG, Zhang JJ, Eppler MJ, Grinstein G, Sarfraz M, Marchese FT, editors, Proceedings - Information Visualisation: Computer Graphics, Imaging and Visualisation, IV 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 148-151. 7272593. (Proceedings of the International Conference on Information Visualisation). doi: 10.1109/iV.2015.35

Plot balalaika: Simple chart designs for long-tail distributed data

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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