Scatter Plot with Polynomial Regression

A scatter plot displaying the relationship between two numeric variables with a fitted polynomial regression curve (degree 2-4). This visualization extends beyond linear regression to capture non-linear relationships in data, making it ideal for modeling curved trends, parabolic patterns, and complex data relationships where a straight line would not adequately represent the underlying pattern.

Implementations

• Scatter Plot with Polynomial Regression in Altair (Python)
• Scatter Plot with Polynomial Regression in Bokeh (Python)
• Scatter Plot with Polynomial Regression in lets-plot (Python)
• Scatter Plot with Polynomial Regression in Matplotlib (Python)
• Scatter Plot with Polynomial Regression in Plotly (Python)
• Scatter Plot with Polynomial Regression in plotnine (Python)
• Scatter Plot with Polynomial Regression in Pygal (Python)
• Scatter Plot with Polynomial Regression in Seaborn (Python)