Which Technologies are Most Frequently Used by Data Scientists?

Paula Pereira; João Paulo Fernandes; Jácome Cunha

doi:10.1109/VL/HCC53370.2022.9833122

Which Technologies are Most Frequently Used by Data Scientists?

Paula Pereira, João Paulo Fernandes, Jácome Cunha

Computer Science

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

Abstract

Data collection is pervasively bound to our digital lifestyle. A recent study reports that the growth of the data created and replicated in 2020 was even higher than in the previous years to an astonishing global amount of 64.2 zettabytes of data. There are numerous companies whose services/products rely heavily on data analysis, and mining the produced data has already revealed great value for businesses in different sectors. In order to be able to support the professionals that do this job, typically known as data scientists, we first need to characterize them. To contribute towards this characterization, we conducted a public survey and in this work we present the results about a particular aspects of their life: the tools they use and need.

Original language	English (US)
Title of host publication	Proceedings - 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022
Editors	Paolo Bottoni, Gennaro Costagliola, Michelle Brachman, Mark Minas
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665442145
DOIs	https://doi.org/10.1109/VL/HCC53370.2022.9833122
State	Published - 2022
Event	2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022 - Rome, Italy Duration: Sep 12 2022 → Sep 16 2022

Publication series

Name	Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC
Volume	2022-September
ISSN (Print)	1943-6092
ISSN (Electronic)	1943-6106

Conference

Conference	2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022
Country/Territory	Italy
City	Rome
Period	9/12/22 → 9/16/22

Keywords

data science
empirical evidence
survey

ASJC Scopus subject areas

Computational Theory and Mathematics
Human-Computer Interaction
Software

Access to Document

10.1109/VL/HCC53370.2022.9833122

Cite this

Pereira, P., Fernandes, J. P., & Cunha, J. (2022). Which Technologies are Most Frequently Used by Data Scientists? In P. Bottoni, G. Costagliola, M. Brachman, & M. Minas (Eds.), Proceedings - 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022 (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC; Vol. 2022-September). IEEE Computer Society. https://doi.org/10.1109/VL/HCC53370.2022.9833122

Which Technologies are Most Frequently Used by Data Scientists? / Pereira, Paula; Fernandes, João Paulo; Cunha, Jácome.
Proceedings - 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022. ed. / Paolo Bottoni; Gennaro Costagliola; Michelle Brachman; Mark Minas. IEEE Computer Society, 2022. (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC; Vol. 2022-September).

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

Pereira, P, Fernandes, JP & Cunha, J 2022, Which Technologies are Most Frequently Used by Data Scientists? in P Bottoni, G Costagliola, M Brachman & M Minas (eds), Proceedings - 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022. Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC, vol. 2022-September, IEEE Computer Society, 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022, Rome, Italy, 9/12/22. https://doi.org/10.1109/VL/HCC53370.2022.9833122

Pereira P, Fernandes JP, Cunha J. Which Technologies are Most Frequently Used by Data Scientists? In Bottoni P, Costagliola G, Brachman M, Minas M, editors, Proceedings - 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022. IEEE Computer Society. 2022. (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC). doi: 10.1109/VL/HCC53370.2022.9833122

Pereira, Paula ; Fernandes, João Paulo ; Cunha, Jácome. / Which Technologies are Most Frequently Used by Data Scientists?. Proceedings - 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022. editor / Paolo Bottoni ; Gennaro Costagliola ; Michelle Brachman ; Mark Minas. IEEE Computer Society, 2022. (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC).

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title = "Which Technologies are Most Frequently Used by Data Scientists?",

abstract = "Data collection is pervasively bound to our digital lifestyle. A recent study reports that the growth of the data created and replicated in 2020 was even higher than in the previous years to an astonishing global amount of 64.2 zettabytes of data. There are numerous companies whose services/products rely heavily on data analysis, and mining the produced data has already revealed great value for businesses in different sectors. In order to be able to support the professionals that do this job, typically known as data scientists, we first need to characterize them. To contribute towards this characterization, we conducted a public survey and in this work we present the results about a particular aspects of their life: the tools they use and need.",

keywords = "data science, empirical evidence, survey",

author = "Paula Pereira and Fernandes, {Jo{\~a}o Paulo} and J{\'a}come Cunha",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE Computer Society. All rights reserved.; 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022 ; Conference date: 12-09-2022 Through 16-09-2022",

year = "2022",

doi = "10.1109/VL/HCC53370.2022.9833122",

language = "English (US)",

series = "Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC",

publisher = "IEEE Computer Society",

editor = "Paolo Bottoni and Gennaro Costagliola and Michelle Brachman and Mark Minas",

booktitle = "Proceedings - 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022",