I'm a professor of mathematics at the University of North Carolina Asheville. I've also done a fair amount of consulting work over the years focusing on scientific and data visualization.
I'm happy to be part of the first Observable Ambassador's cohort.
Published unlisted
Edited
Nov 27, 2020
choropleth = vl
.layer(
vl.markGeoshape({ fill: '#f1f1ff' }).data(vl.sphere()),
vl.markGeoshape({ stroke: '#ffffff', strokeWidth: 1 }).data(vl.graticule()),
vl
.markGeoshape({ stroke: 'black' })
.data(
vl
.topojson("https://unpkg.com/world-atlas@2/countries-110m.json")
.feature("countries")
)
.transform(
// Transform is advanced
vl
.lookup("properties.name")
.from(
// Lookup is even more advanced
vl
.lookupData(Array.from(seatsByWomen))
.key('Country Name')
.fields(yearSlider.toString())
)
.as("Percentage of seats by women")
)
.project(vl.projection("equalEarth"))
.encode(
vl
.color()
.fieldQ("Percentage of seats by women")
.legend({ orient: "top" }),
vl.tooltip(["properties.name", "Percentage of seats by women"])
)
.width(width)
.height(width / 2)
.autosize({ type: "fit-x", contains: "content" })
)
.render()
function take(values, index) {
return values.constructor.from(index, i => values[i]);
}
take(seatsByWomen,[206])
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
