Data visualization is a powerful way to communicate insights. Here are some popular tools and libraries:

📊 Common Tools

  • Tableau

    Tableau
    A leading platform for creating interactive dashboards. [Learn more](/en/learning/tableau)
  • Power BI

    Power_BI
    Microsoft's tool for business analytics. [Explore tutorials](/en/tutorials/powerbi)
  • Python (Matplotlib/Seaborn)

    Matplotlib
    Excellent for statistical visualizations. [Check documentation](/en/docs/python)
  • D3.js

    D3_JS
    JavaScript library for dynamic data graphics. [View examples](/en/examples/d3)

🧠 Open Source Tools

  • Grafana

    Grafana
    Great for time-series and metrics visualization. [Try it now](/en/tools/grafana)
  • Plotly

    Plotly
    Interactive graphs in Python and R. [See gallery](/en/gallery/plotly)
  • ECharts

    ECharts
    Powerful charting library by Apache. [Explore features](/en/features/echarts)
  • RAWGraphs

    RAWGraphs
    Open-source tool for creating beautiful charts. [Get started](/en/get-started/rawgraphs)

📚 Learning Resources

Let me know if you'd like recommendations for specific use cases! 🌟