"""
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.
"""
# category: case studies
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,
)
"""
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.
"""
import altair as alt
from vega_datasets import data
anscombe = data.anscombe()
chart = alt.Chart(anscombe).mark_circle().encode(
x=alt.X('X', scale=alt.Scale(zero=False)),
y=alt.Y('Y', scale=alt.Scale(zero=False)),
column='Series').properties(width=150, height=150)
