Welcome to Nashville, y'all! You can take a man out of Nashville, but you can't take Nashville out of a man? Alright, let's get to it. This project showcases Jupyter Notebook to construct data analytics, statistics, and plots to display the diverse nationalities among clients at Nashville Music School (NMS). The dynamic project provides a comprehensive view of the cultural richness within NMS's clientele and demonstrates the impactful intersection of data science and music education.
This repository contains the code and visualizations for the NMS Nationality project.
- Data analytics using Jupyter Notebook
- Interactive pie charts and graphs showcasing the distribution of nationalities among NMS clients.
- Easy-to-use interface built with Plotly Dash for seamless navigation and exploration of the data.
To run the project locally, make sure you have the following installed:
- Python
- Plotly
- Dash
- Pandas
This project is licensed under the MIT License - see the LICENSE file for details.
Follow me on:
- GitHub: Nichols-Tech
- LinkedIn: MrNichols
- Medium: Nichols-Tech
- Instagram: Nichols.Tech
- Instagram: NashvilleMusicSchool
- Facebook: NashvilleMusicSchool
Please note that the data used in this project is non-intrusive and does not contain any sensitive information. It is intended solely for the purpose of demonstrating data science techniques and does not compromise the privacy or confidentiality of any individuals or entities.
The information presented in this document is provided by Nashville Music School (NMS), a legal business registered with the French Registry of Businesses and Enterprises. NMS is committed to offering accurate and reliable data to the best of its ability. However, the content is intended for informational purposes only and should not be considered as professional advice.
NMS complies with the General Data Protection Regulation GDPR and actively practices data privacy.
Thank you for your understanding.