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Tidy up U.S. Population by Age and Sex case study #2628

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Jul 2, 2022
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Tidy up U.S. Population by Age and Sex case study #2628

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Tidy up U.S. Population by Age and Sex
palewire Jun 30, 2022
583d6ed
Merge branch 'altair-viz:master' into patch-5
palewire Jun 30, 2022
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32 changes: 17 additions & 15 deletions altair/examples/us_population_over_time.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
"""
US Population Over Time
=======================
US Population by Age and Sex
============================
This chart visualizes the age distribution of the US population over time.
It uses a slider widget that is bound to the year to visualize the age
distribution over time.
Expand All @@ -11,21 +11,23 @@

source = data.population.url

pink_blue = alt.Scale(domain=('Male', 'Female'),
range=["steelblue", "salmon"])

slider = alt.binding_range(min=1900, max=2000, step=10)
select_year = alt.selection_single(name="year", fields=['year'],
bind=slider, init={'year': 2000})
select_year = alt.selection_single(
name="Year",
fields=["year"],
bind=alt.binding_range(min=1900, max=2000, step=10, name="Year"),
init={"year": 2000},
)

alt.Chart(source).mark_bar().encode(
x=alt.X('sex:N', title=None),
y=alt.Y('people:Q', scale=alt.Scale(domain=(0, 12000000))),
color=alt.Color('sex:N', scale=pink_blue),
column='age:O'
).properties(
width=20
).add_selection(
x=alt.X("sex:N", axis=alt.Axis(labels=False, title=None, ticks=False)),
y=alt.Y("people:Q", scale=alt.Scale(domain=(0, 12000000)), title="Population"),
color=alt.Color(
"sex:N",
scale=alt.Scale(domain=("Male", "Female"), range=["steelblue", "salmon"]),
title="Sex",
),
column=alt.Column("age:O", title="Age"),
).properties(width=20, title="U.S. Population by Age and Sex").add_selection(
select_year
).transform_calculate(
"sex", alt.expr.if_(alt.datum.sex == 1, "Male", "Female")
Expand Down