Michael Kellett – Mym111

Crafting compelling narratives through creative writing, digital artistry, and analytical insight

📊 Top 10 Must-Have Websites for Data Analysis

  1. Google Colab
    • A cloud-based Python environment for data science & machine learning.
    • No installation needed; runs on free GPUs for deep learning.
  2. Datawrapper
    • Create interactive charts, maps, and tables with no coding.
    • Great for quick, professional-looking visualizations.
  3. SQL Fiddle
    • A web-based SQL sandbox for writing, testing, and sharing queries.
    • Supports MySQL, PostgreSQL, SQLite, and more.

📈 Data Visualization & Dashboard Tools

  1. Observable
    • A live coding notebook for JavaScript-based data visualization.
    • Uses D3.js, Vega-Lite, and Plotly for interactive dashboards.
  2. Flourish
    • A tool for creating stunning interactive charts, graphs, and maps.
    • Used by major news organizations for storytelling with data.
  3. RawGraphs
    • Turn raw data into complex visualizations easily.
    • Ideal for non-standard, artsy, and network-based graphs.

📚 Datasets & Public Data Repositories

  1. Our World in Data
    • High-quality global datasets on economics, health, and more.
    • Includes interactive charts and well-cited sources.
  2. Kaggle Datasets
    • A massive library of free, user-uploaded datasets.
    • Great for machine learning projects & analysis practice.

🎨 Artistic & Aesthetic Data Inspiration

  1. The Pudding
    • A website that showcases beautifully designed data stories.
    • Great for inspiration on turning data into engaging narratives.
  2. Chart Chooser by Juice Analytics
  • Helps pick the right chart for your data type.
  • Provides easy PowerPoint & Excel templates.

🔥 Bonus Pick

Data is Beautiful (Reddit)

  • A community-driven source of stunning real-world data visualizations.
  • Great for inspiration and learning from others’ work.

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