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"""
Error Bars with Confidence Interval
======================================
This example shows how to show error bars using confidence intervals.
The confidence intervals are computed internally in vega by a non-parametric
`bootstrap of the mean <https://github.com/vega/vega-statistics/blob/master/src/bootstrapCI.js>`_.
"""
# category: uncertainties and trends
import altair as alt
from vega_datasets import data
source = data.barley()
error_bars = alt.Chart(source).mark_errorbar(extent='ci').encode(
x=alt.X('yield:Q', scale=alt.Scale(zero=False)),
y=alt.Y('variety:N')
)
points = alt.Chart(source).mark_point(filled=True, color='black').encode(
x=alt.X('yield:Q', aggregate='mean'),
y=alt.Y('variety:N'),
)
error_bars + points
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