In this video, I’ll show you how to visualize experimental data 📊 using main effects, interaction, contour, and 3D plots in Python. No programming expertise is needed—I’ll handle the coding with help from my AI assistant and you can do the same!
WATCH THIS VIDEO TO LEARN:
- Visualize data with main effects, interaction, contour, and 3D plots in Python.
- Understand individual and interactive effects of factors on results.
- Use seaborn for straightforward, effective visualizations.
- Identify optimal conditions with contour and 3D plots.
- Build 3D plots to compare predicted and measured data, providing simple model control.
- Follow simple, AI-assisted coding steps to apply these techniques.
🤖 GET ACCESS TO MY AI ASSISTANT: https://www.experimentaldesignhub.com/downloads/p/your-ai-assistant-for-doe
📂 GET ACCESS TO CODE AND DATA: https://www.experimentaldesignhub.com/downloads/p/python-tutorial-visualize-experimental-results
📖 READ THE BLOG POST: https://www.experimentaldesignhub.com/blog/visualizing-data-from-a-full-factorial-design-with-python
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CONNECT WITH ME!
💼 LinkedIn: https://www.linkedin.com/in/marcel-butschle
✉️ marcel.butschle@icloud.com