Strip plot

seaborn.stripplot() displays individual data points for a numerical variable across categories.
It’s a type of scatter plot where:

• The x-axis (or y-axis) shows categories
• The other axis shows numeric values
• Each dot represents one observation

It’s great for:

• Showing raw data instead of summary statistics
• Understanding data distribution, density, and outliers

Syntax:

Parameters:

• data = DataFrame containing your data
• x, y = Categorical and numeric variables
• hue = Adds subcategories (colours)
• jitter = Adds random noise to avoid overlapping points (default: True)
• dodge = Separates hue categories side by side
• palette = Colour palette for hue
• size = Dot size
• alpha = Transparency (0 to 1)
• marker = Shape of the points
• linewidth = Outline thickness for points

Basic example

Each dot = one observation of total_bill for a given day.

Add hue (subgroups)

• Dots are coloured by sex.
• Default behaviour: dots from different hue groups overlap slightly.

Separate subgroups (dodge)

Dots for different hue groups appear side by side, avoiding overlap.

Control jitter (spread of points)

• jitter=True (default): spreads points horizontally for visibility.
• jitter=0: stacks points directly above each other (no spread).

Horizontal orientation

Flips the orientation — useful for long category names.

Customise style and colors

• size → dot size
• alpha → transparency
• linewidth + edgecolor → outline styling