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Anscombe’s Quartet#

Anscombe’s Quartet is a famous dataset constructed by Francis Anscombe. It is made of 4 different subsets of data. Each subset has very different characteristics, even though common summary statistics such as mean and variance are identical.

This example shows how to make a faceted plot, with each facet showing a different subset of the data.

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,
)
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,
)