Jupyter Notebooks for Introducing Data Science to Novice Users.

Fruchart, Mathilde; Guinhouya, Benjamin; Pelayo, Sylvie; Vilhelm, Christian; Lamer, Antoine

Document type :

Article dans une revue scientifique: Article original

DOI :

10.3233/SHTI220598

PMID :

35612218

Permalink :

http://hdl.handle.net/20.500.12210/90077

Title :

Jupyter Notebooks for Introducing Data Science to Novice Users.

Author(s) :

Fruchart, Mathilde [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Guinhouya, Benjamin [Auteur]

Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Pelayo, Sylvie [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Vilhelm, Christian [Auteur]

Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Lamer, Antoine [Auteur]

Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Journal title :

Studies in Health Technology and Informatics

Abbreviated title :

Stud Health Technol Inform

Volume number :

294

Pages :

823-824

Publication date :

2022-05-27

ISSN :

1879-8365

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Data science is a bridge discipline involving computer science, statistics, and knowledge of the health field. We developed a Jupyter Notebook to enable novice users to easily and autonomously analyze data from social ...
Show more >Data science is a bridge discipline involving computer science, statistics, and knowledge of the health field. We developed a Jupyter Notebook to enable novice users to easily and autonomously analyze data from social networks. We conducted an experimentation with non-programmer students. They had to adapt a R Notebook and complete 14 questions and to perform descriptive analyses. The average rate of correct answers was 90.7. Jupyter Notebook enabled novice users to easily and autonomously analyze data from Twitter.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CHU Lille

Collections :

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2023-11-15T04:04:56Z
2024-01-11T08:50:49Z

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SHTI-294-SHTI220598.pdf
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial 3.0 United States

Version	Link	Modification date
2	20.500.12210/90077*	2024-01-11T08:44:47Z
1	20.500.12210/90077.1	2023-11-15T04:04:56Z

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Jupyter Notebooks for Introducing Data ...

BibTeX

CSV

Excel

RIS