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Data Visualization Portfolio - Quick Start Guide
This is a quick-start guide to help you get started with the portfolio template.
📖 For complete requirements, grading rubric, and detailed instructions, see ASSIGNMENT.md
📋 Quick Overview
What to submit by Week 8:
- ZIP archive with
index.html, datasets, and AI documentation (if applicable) - 5-7 minute video presentation (link embedded in your portfolio)
What to create:
- Portfolio with minimum 5 visualizations exploring a unified theme
- Each visualization needs context, design rationale, insights, and source citation
File naming: Portfolio_[LastName]_[FirstName].zip
🚀 Quick Start (3 Steps)
Step 1: Get the Template
- Download or clone this repository to your computer
- Open the folder in VS Code (or your preferred editor)
Step 2: Edit index.html
- Replace all
[placeholders]with your content - Add your visualizations (examples for Vega-Lite, Tableau, and images included)
- Test by opening
index.htmlin your browser
Step 3: Submit
- Create ZIP:
Portfolio_[LastName]_[FirstName].zip - Include:
index.html, all datasets, AI documentation (if applicable) - Submit by Week 8
💡 How to Use the Template
Adding Visualizations
The template includes 3 examples you can copy:
- Vega-Lite: Find
<script>withvar spec1 = {...}, replace with your spec - Tableau Public: Publish to YOUR account, get embed code, paste into HTML
- Python/R/Images: Export as PNG/SVG, save in same folder, use
<img>tag
Add more: Copy an entire <article> block and modify it
What to Include for Each Visualization
The template has placeholders for:
- Context & Question: What are you exploring and why?
- Design Decisions: Why this chart type? What encodings? What tradeoffs?
- Key Insights: What did you discover?
- Data Source: Where is the data from? (include link)
See ASSIGNMENT.md for detailed requirements and the visualization quality checklist
🆘 Need Help?
Get Support
Oleh Omelchenko
- Slack (preferred for quick questions)
- Office Hours: Wednesday 16:00-18:00, KSE Campus
- Email: o_omelchenko@kse.org.ua
📚 Additional Resources
ASSIGNMENT.md- Complete requirements, grading rubric, and policiesPUBLISHING.md- Optional guide for publishing to GitHub Pages (not graded)
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