Anscombe’s Quartet

This example shows how to use the column channel to make a trellis plot. Anscombe’s Quartet is a famous dataset constructed by Francis Anscombe. Common summary statistics are identical for each subset of the data, despite the subsets having vastly different characteristics.

Method syntax

import altair as alt
from vega_datasets import data

source = data.anscombe()

alt.Chart(source).mark_circle().encode(
    alt.X('X').scale(zero=False),
    alt.Y('Y').scale(zero=False),
    alt.Facet('Series', columns=2),
).properties(
    width=180,
    height=180,
)

Attribute syntax

import altair as alt
from vega_datasets import data

source = data.anscombe()

alt.Chart(source).mark_circle().encode(
    alt.X('X', scale=alt.Scale(zero=False)),
    alt.Y('Y', scale=alt.Scale(zero=False)),
    alt.Facet('Series', columns=2),
).properties(
    width=180,
    height=180,
)