Repeated Choropleth Map#

Three choropleths representing disjoint data from the same table.

import altair as alt
from vega_datasets import data

states = alt.topo_feature(data.us_10m.url, 'states')
source = data.population_engineers_hurricanes.url
variable_list = ['population', 'engineers', 'hurricanes']

alt.Chart(states).mark_geoshape().encode(
    alt.Color(alt.repeat('row'), type='quantitative')
).transform_lookup(
    lookup='id',
    from_=alt.LookupData(source, 'id', variable_list)
).properties(
    width=500,
    height=300
).project(
    type='albersUsa'
).repeat(
    row=variable_list
).resolve_scale(
    color='independent'
)
import altair as alt
from vega_datasets import data

states = alt.topo_feature(data.us_10m.url, 'states')
source = data.population_engineers_hurricanes.url
variable_list = ['population', 'engineers', 'hurricanes']

alt.Chart(states).mark_geoshape().encode(
    alt.Color(alt.repeat('row'), type='quantitative')
).transform_lookup(
    lookup='id',
    from_=alt.LookupData(source, 'id', variable_list)
).properties(
    width=500,
    height=300
).project(
    type='albersUsa'
).repeat(
    row=variable_list
).resolve_scale(
    color='independent'
)
# No channel encoding options are specified in this chart
# so the code is the same as for the method-based syntax.