Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)

<Previous Article In Volume
Next Article In Volume>

Data Visualization of Moroccan Recruitment Offers

Authors
Hanae Mgarbi1, *, Mohamed Yassin Chkouri1, Abderrahim Tahiri1
1SIGL Laboratory, ENSATE, Abdelmalek Essaadi University, Tetouan, Morocco
*Corresponding author. Email: hanae.mgarbi@etu.uae.ac.ma
Corresponding Author
Hanae Mgarbi
Available Online 5 February 2024.
DOI
10.2991/978-94-6463-360-3_28How to use a DOI?
Keywords
Job offers; Recruitment criteria; XPath; Python; Data visualization
Abstract

This paper introduces data visualization of the Moroccan recruitment domain that helps in making decisions, starting with data extraction using Data Miner then data preprocessing, and moving to the data visualization stage using big data techniques and Python libraries.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
5 February 2024
ISBN
10.2991/978-94-6463-360-3_28
ISSN
2667-128X
DOI
10.2991/978-94-6463-360-3_28How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hanae Mgarbi
AU  - Mohamed Yassin Chkouri
AU  - Abderrahim Tahiri
PY  - 2024
DA  - 2024/02/05
TI  - Data Visualization of Moroccan Recruitment Offers
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
PB  - Atlantis Press
SP  - 275
EP  - 281
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-360-3_28
DO  - 10.2991/978-94-6463-360-3_28
ID  - Mgarbi2024
ER  -