Faceted Density Estimates

Density estimates of measurements for each iris flower feature

Method syntax

import altair as alt
from vega_datasets import data

source = data.iris()

alt.Chart(source).transform_fold(
    ['petalWidth',
     'petalLength',
     'sepalWidth',
     'sepalLength'],
    as_ = ['Measurement_type', 'value']
).transform_density(
    density='value',
    bandwidth=0.3,
    groupby=['Measurement_type'],
    extent= [0, 8]
).mark_area().encode(
    alt.X('value:Q'),
    alt.Y('density:Q'),
    alt.Row('Measurement_type:N')
).properties(width=300, height=50)

Attribute syntax

import altair as alt
from vega_datasets import data

source = data.iris()

alt.Chart(source).transform_fold(
    ['petalWidth',
     'petalLength',
     'sepalWidth',
     'sepalLength'],
    as_ = ['Measurement_type', 'value']
).transform_density(
    density='value',
    bandwidth=0.3,
    groupby=['Measurement_type'],
    extent= [0, 8]
).mark_area().encode(
    alt.X('value:Q'),
    alt.Y('density:Q'),
    alt.Row('Measurement_type:N')
).properties(width=300, height=50)
# No channel encoding options are specified in this chart
# so the code is the same as for the method-based syntax.