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Layer

As explained in Data Storytelling with Altair and AI

A layer is a Vega-Lite composition that overlays multiple marks or charts within a single visualization.

A layer combines multiple marks or charts in one visualization. It is useful when a single chart needs an additional visual element for comparison, emphasis, or context. section 3.1.2

Overlaying a line and points

A Vega-Lite layer can place a line chart and circular points over the same data. In Altair, the same idea appears by adding charts with the + operator. This lets the line show the overall pattern while the points make individual observations visible. section 3.1.2 section 4.5.2

Listing 3.11 An example layer section
"layer": [
   {"mark": {"type": "line", }},
   {"mark": {"type": "point", "shape": "circle", "size": 100}}
]

Inspect the compact Vega-Lite layer specification combining a line mark with a circular point mark. section 3.1.2

Layers also add context to an existing chart. A bar chart can be combined with images and a horizontal rule at 50%, making performance above or below a baseline easier to interpret. section 4.5.2

How Data Storytelling with Altair and AI covers it

How deep it goes
Defines a layer as a list of marks and demonstrates line-point composition, while deferring broader customization details.
Examples
Uses line-and-point charts, image overlays, and a red horizontal rule at 50% as concrete layer examples.
What it assumes
Assumes familiarity with basic chart components such as data, encoding, and marks.
What you can do after
Build it from scratch by combining marks in Vega-Lite or adding Altair charts with the + operator.
How it connects
Connects layers with data, encoding, marks, Altair chart addition, and baseline rules.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data Storytelling with Altair and AI. The section links point to the parts of the book it draws on.