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.
Cite this article
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 -