diff --git a/Project/__ProjectDataViz.md b/Project/__ProjectDataViz.md
deleted file mode 100644
index cbebbefe7a55d64da8cafc496767b1ba20f467fe..0000000000000000000000000000000000000000
--- a/Project/__ProjectDataViz.md
+++ /dev/null
@@ -1,124 +0,0 @@
-# ProjectDataViz
-
-**Class:** BSc Data Science for Responsible Business -- Year 1 Semester 2
-**Date:** February 2025  
-
-## Interactive Data Visualization Project
-
-### Year 1 BSc Data Science for Responsible Business
-
-### Project Overview
-
-This project aims at creating an interactive data visualization using `D3.js`. The goal is to explore, analyze, and present data in a visually engaging and informative way. Students will work in teams of two to develop a web-based visualization that addresses one of the following topics:
-
-- Personal Data: You can use your personal data from your personal device
-- Mobility and Climate Change. 
-- Environmental Impact of Digital Technology
-
-The project **MUST** be hosted on GitHub, and the final visualization must be publicly accessible via GitHub Pages or another hosting platform. The project accounts for **55% of the final grade** for this course.
-
-## Key Dates and Deliverables
-
-- Teams constitution and creation of the GitHub repo by **20/02/2025**
-- Choice of the dataset by **25/02/2025**
-- Exploratory data analysis by **01/03/2025**
-- Submission of the scoping document and the peer evaluation on **28/03/2025**
-- Final presentation on **31/03/2025**
-
-## Project Requirements
-
-### Data Source
-- You can use  **your** personal data (e.g., Spotify, Facebook, smartphone usage) or public datasets (e.g.,[ Open Data Grand Lyon ](https://www.data.gouv.fr/fr/organizations/grand-lyon/#/datasets), Data Is Plural, [kaggle](https://www.kaggle.com/datasets/), check out this [Link](https://github.com/awesomedata/awesome-public-datasets?tab=readme-ov-file)).
-- If necessary, create simulated data or combine multiple datasets.
-- You will need to conduct a data wrangling, cleansing and exploratory data analysis to understand the data set and make a plan for the visulaization phase. 
-
-### Technical Stack
-- **D3.js is mandatory** for creating the visualization. Other libraries (e.g., Tableau, python libraries such as plotly, matplotlib or seaborn, etc.) are **not allowed**.
-- The project must be hosted on GitHub and include a **GitHub Pages** deployment.
-
-### Documentation
-- Maintain a **project wiki** or **progress log** on GitHub to track your work. This will account for 20% of the project mark.
-- Include **sketches, design iterations, and key decisions** in the documentation.
-
-### Final Deliverables
-- A **functional web-based visualization** with clear context and storytelling.
-- A **scoping document** outlining the problem, target audience, data sources, and design choices.
-- A `README.md` file in the GitHub repository containing:
-  - Project title and description
-  - Team members and roles
-  - Links to the live visualization and documentation
-  - Credits for data sources and inspirations
-
-## Scoping Document Structure
-
-### Problem Statement
-- What problem are you addressing? 
-
-### Target Audience
-- Who is your primary audience? 
-- What tasks will they perform using your visualization?
-- How your visulaization will be helpful for them?
-
-### Related Work
-- Identify **three related projects** or visualizations. Explain how they inspire or differ from your approach.
-
-### Data Sources
-- List the dataset(s) you plan to use. Highlight their strengths and limitations.
-- What is your backup plan if the data is unavailable or incomplete? Are you planning to simulate data or choose another alternative?
-- Which type/format of data have you chosen? Structured (SQL) or not (CSV, Json, etc.)
-- Exploratory data analyis
-- Data cleansing and wrangling (highlight the issues with your dataset and how did you manage to solve them)
-
-
-### Team Organization
-- How will your team communicate and collaborate? Note that the project grade is not necessarily the same for the team members.
-- What roles have you assigned (e.g., design, development, data preprocessing)? Note that this has to be clearly stated in the `README.md`file. 
-Also note that the push operations will serve to assess the active participations of the team members.
-
-
-## Presentation Guidelines
-
-The final presentation (10 minutes) should cover:
-
-- **Context and Motivation:** Why did you choose this topic?
-- **Target Audience:** Who is your visualization for?
-- **Demo:** Showcase your interactive visualization.
-- **Design and Technical Choices:** Explain your design decisions and technical implementation.
-- **Innovation:** What makes your project unique?
-- **Limitations:** What challenges did you face, and how did you address them?
-
-## Evaluation Criteria
-
-The project will be graded based on:
-
-- **Peer evaluation (10%)**
-- **Scoping Document and Progress Tracking (20%)**
-- **Presentation and Demo (25%)**
-- **Technical Implementation (45%)**
-
-## Examples and Inspiration
-
-Here are some examples of past projects and resources for inspiration:
-
-- [MBTA Visualization](http://mbtaviz.github.io)
-- [Team Data Hub](http://teamdatahub.github.io)
-- [Harvard Visualization Course Examples](https://online.hbs.edu/blog/post/data-visualization-examples)
-- Other examples 
-    - [1](https://odsc.medium.com/7-cool-data-visualizations-using-d3-and-vega-3ff082d502cb)
-    - [2](https://qz.com/296941/interactive-graphic-every-active-satellite-orbiting-earth)
-
-
-## Submission Instructions
-
-### GitHub Repository
-- Name your repository meaningfully (e.g., `MobileData-Visualization`). 
-- Include a `README.md` file with project details and links.
-
-### Images
-- Add a **teaser image** (`teaser.png`) and a **thumbnail** (`thumbnail.png` or `.gif`) to the repository.
-
-### Pull Request
-Submit a pull request to the course’s GitHub repository with:
-
-- Two images (`numerogroupe-teaser.png`, `numerogroupe-thumbnail.png`)
-- Description files (`numerogroupe-desc-fr.md`, `numerogroupe-desc-en.md`)