The avatar for @mlahoya
Marta Lahoya
Public
Edited
Aug 17, 2023
1 fork
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dot_data
X
—
Y
avg_le_birth_female
Color
color
Size
—
Facet X
—
Facet Y
—
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.

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Plot.plot({
y:{grid:true,
label:"Life Expectancy (years)"},
marks: [
Plot.ruleY([0]),
Plot.lineY(slope_chart_data, {x: "year"
, y: "le_birth_both"
, z:"country"
, stroke: d => d.country === country_select ? 'red' : d.country === country_select_compare ? 'blue' : 'lightgray'
, strokeOpacity: d => (d.country === country_select || d.country === country_select_compare) ? 1 : 0.1})
],
caption: "How the life expectancy has changed for " + sex_value + " over time for "+ country_select + "(red) and " + country_select_compare + " (blue)"
})


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countryNames = le_birth_per_country.map(d => d.country).sort()
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dot_DB = DuckDBClient.of({select: selected_country, compare: selected_country_compare, other: dot_country})
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dot_DB
select * from "select"
union all
select * from "compare"
union all
select * from "other"

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le_birth_per_country
Type Table, then Shift-Enter. Ctrl-space for more options.

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