3D Scatter Plot in Python Using Plotly – Part 1 | Interactive Data Visualization Tutorial

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📊 Welcome to Part 1 of our Plotly 3D Scatter Plot Tutorial Series!
In this video, you’ll learn how to create interactive 3D scatter plots in Python using the Plotly library. This is perfect for anyone exploring data in three dimensions and looking to add interactivity and visual appeal to their analytics or dashboards.

🔍 What You'll Learn:
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- Introduction to Plotly for 3D plotting
- Creating your first 3D scatter plot
- Setting up data points with x, y, and z axes
- Adding marker size, color, and hover information
- Rendering beautiful interactive plots directly in Jupyter or web apps

📦 Tools & Libraries Used:
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- Python
- Plotly Express / Plotly Graph Objects
- Jupyter Notebook (optional)

🎯 Who Is This For?
Beginners, data analysts, machine learning practitioners, and developers who want to take their data visualization skills to the next level.

💡 Stay Tuned for Part 2: We’ll dive deeper into customization, animations, and integrating with Dash for dashboard deployment.

📬 Need Help with Data Visualization or Python Projects?
Contact us at Codersarts for project help, tutorials, or 1-on-1 mentorship.

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