"Information is the oil of the 21st century, and analytics is the combustion engine."
— Peter Sondergaard (Gartner IT Symposium/Xpo, October 2011).
The intelligent collection, cleaning, processing and visualization of data is an indispensable process for the efficient, precise, productive and sharp self-criticism of any project.
This project seeks to identify patterns of excessive overtime, calculate the profitability of additional hiring, and quality of existing hires based on turnover by employee type, contract and leave circumstances.
Includes ideas developed during my second collaboration with Iconn Group (7-Eleven) at Tecnologico de Monterrey.
Important
Pending approval and modifications to be treated as Open Source, as intended.
- Facilitating export with gganimate.
- Native ggplot2-shiny dashboards.
- Local UX/UI.
Feel free to reach out if you have any questions or feedback.
- Email: [email protected]
- The subject must start with: [OpenLaborData]