Statistical
Static

Scatterplot

Scatter plots show the relationship between two quantitative variables by plotting data points on a two-dimensional grid. They're fundamental for identifying correlations, clusters, and outliers in your data. By adding color, size, or shape encoding, scatter plots can display additional dimensions. Regression lines can be added to quantify relationships.

Try this prompt

"Use matplotlib.pyplot or seaborn to create a scatter plot of 'Height' vs 'Weight'. Color the points by 'Gender' and add a regression line. Generate a proper example dataset to demonstrate this visualization."
Generate this now

Common Use Cases

  • 1Correlation analysis between metrics
  • 2Cluster identification in data
  • 3Outlier detection
  • 4Regression modeling

Pro Tips

Use transparency for overlapping points

Add marginal distributions for context

Include regression line with confidence interval