Big data visualization of the alcohol expenses in Taiwan

Chien Wen Shen; Thai Ha Luong; Li An Chien; Jung Tsung Ho

doi:10.1007/978-3-319-93803-5_20

Big data visualization of the alcohol expenses in Taiwan

Chien Wen Shen, Thai Ha Luong, Li An Chien, Jung Tsung Ho

Department of Business Administration

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

1 Scopus citations

Abstract

This study develops visual analytics of alcohol expenditure in multiple geographic areas using electronic-invoice (e-invoice) data. A data-cleansing technique is applied to extract alcohol-related transactions from more than 20 billion e-invoices in 2014 and 2015. Visual analytics are applied to summarize the intricate numeric and text information into various visual settings. The findings from this study suggest the CPI proportions with the country’s alcohol expenditure on monthly consideration. Alcohol expenditure in Taiwan sharply increases during summer and winter seasons. Although northern metropolitan cities/counties such as Taipei city have the highest alcohol expenditure per-capita among inland cities/counties; the average alcohol expenditure per e-invoice of northern cities/counties is among the lowest in the country. E-invoice data enables the memory-recall bias to be avoided, thereby enhancing the accuracy of research outcome. Visual analytics systemize transaction information from billions of data into mappings, thereby elucidating the alcohol expenditure pattern of Taiwanese consumers.

Original language	English
Title of host publication	Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings
Editors	Yuhui Shi, Qirong Tang, Ying Tan
Publisher	Springer Verlag
Pages	213-222
Number of pages	10
ISBN (Print)	9783319938028
DOIs	https://doi.org/10.1007/978-3-319-93803-5_20
State	Published - 2018
Event	3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018 - Shanghai, China Duration: 17 Jun 2018 → 22 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10943 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018
Country/Territory	China
City	Shanghai
Period	17/06/18 → 22/06/18

Keywords

Alcohol expenditure
Data visualization
Electronic invoice
Visual analytics

Access to Document

10.1007/978-3-319-93803-5_20

Cite this

Shen, C. W., Luong, T. H., Chien, L. A., & Ho, J. T. (2018). Big data visualization of the alcohol expenses in Taiwan. In Y. Shi, Q. Tang, & Y. Tan (Eds.), Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings (pp. 213-222). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10943 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-93803-5_20

Shen, Chien Wen ; Luong, Thai Ha ; Chien, Li An et al. / Big data visualization of the alcohol expenses in Taiwan. Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. editor / Yuhui Shi ; Qirong Tang ; Ying Tan. Springer Verlag, 2018. pp. 213-222 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Shen, CW, Luong, TH, Chien, LA & Ho, JT 2018, Big data visualization of the alcohol expenses in Taiwan. in Y Shi, Q Tang & Y Tan (eds), Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10943 LNCS, Springer Verlag, pp. 213-222, 3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018, Shanghai, China, 17/06/18. https://doi.org/10.1007/978-3-319-93803-5_20

Big data visualization of the alcohol expenses in Taiwan. / Shen, Chien Wen; Luong, Thai Ha; Chien, Li An et al.
Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. ed. / Yuhui Shi; Qirong Tang; Ying Tan. Springer Verlag, 2018. p. 213-222 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10943 LNCS).

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

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AU - Luong, Thai Ha

AU - Chien, Li An

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AB - This study develops visual analytics of alcohol expenditure in multiple geographic areas using electronic-invoice (e-invoice) data. A data-cleansing technique is applied to extract alcohol-related transactions from more than 20 billion e-invoices in 2014 and 2015. Visual analytics are applied to summarize the intricate numeric and text information into various visual settings. The findings from this study suggest the CPI proportions with the country’s alcohol expenditure on monthly consideration. Alcohol expenditure in Taiwan sharply increases during summer and winter seasons. Although northern metropolitan cities/counties such as Taipei city have the highest alcohol expenditure per-capita among inland cities/counties; the average alcohol expenditure per e-invoice of northern cities/counties is among the lowest in the country. E-invoice data enables the memory-recall bias to be avoided, thereby enhancing the accuracy of research outcome. Visual analytics systemize transaction information from billions of data into mappings, thereby elucidating the alcohol expenditure pattern of Taiwanese consumers.

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ER -

Shen CW, Luong TH, Chien LA, Ho JT. Big data visualization of the alcohol expenses in Taiwan. In Shi Y, Tang Q, Tan Y, editors, Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. Springer Verlag. 2018. p. 213-222. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-93803-5_20

Big data visualization of the alcohol expenses in Taiwan

Abstract

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Keywords

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