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+# Data Vis. Project
+
+**Author:** Zied Bouyahya 
+
+**Date:** 17 February 2025  
+
+## Interactive Data Visualization Project
+
+### Year 1 BSc Data Science for Responsible Business -- Semester 2
+
+### 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-three members to develop a web-based visualization that addresses one of the following topics:
+
+- Personal Data
+- Mobility and Climate Change
+- Environmental Impact of Digital Technology
+
+The project will be hosted on GitHub, and the final visualization must be publicly accessible via GitHub Pages or another hosting platform. The project constitutes **55% of the final grade** for this course.
+
+## Key Dates and Deliverables
+
+| Date  | Deliverable |
+|-------|------------|
+| 20/02 | Team selection and creation of the github repository |
+| 27/02 | Dataset selection |
+| 13/03 | First draft of the scoping document |
+| 27/03 | Peer evaluation  |
+| 31/03 | **Final presentation** and submission of the final scoping document  |
+
+
+## Project Requirements
+
+### Data Source
+- Use personal data (e.g., Spotify, Facebook, smartphone usage) or public datasets (e.g., Open Data Grand Lyon, Data Is Plural).
+- If necessary, create simulated data or combine multiple datasets.
+
+### Technical Stack
+- **D3.js is mandatory** for creating the visualization. Other libraries (e.g., Tableau) 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.
+- 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? What need does your project fulfill?
+
+### Target Audience
+- Who is your primary audience? What tasks will they perform using your visualization?
+
+### Data Sources
+- List the datasets you plan to use. Highlight their strengths and limitations.
+- What is your backup plan if the data is unavailable or incomplete?
+
+### Related Work
+- Identify **three related projects** or visualizations. Explain how they inspire or differ from your approach.
+
+### Team Organization
+- How will your team communicate and collaborate?
+- What roles have you assigned (e.g., design, development, data preprocessing)?
+
+### Initial Sketches
+- Include **hand-drawn sketches** or **mockups** of your visualization.
+
+## 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:
+
+- **Scoping Document and Progress Tracking (10%)**
+- **Presentation and Demo (45%)**
+- **Technical Implementation (45%)**
+
+## Examples and Inspiration
+
+Here are some examples of past projects and resources for inspiration:
+
+- MBTA Visualization
+- Team Data Hub
+- NYC Subway Visualization
+- Harvard Visualization Course Examples
+
+## 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.
+
+
+## Useful links to learn D3.js
+- [freecodecamp](https://www.freecodecamp.org/learn/data-visualization/#data-visualization-with-d3)
+- [tutorials] (https://www.tutorialsteacher.com/d3js)
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