The socially conscious
data visualization firm. We turn data into
interactive visual experiences for empathy and understanding.
Published unlisted
Edited
Mar 29, 2022
data = [
{name: "Floyd Mayweather", sport: "Boxing", nation: "United States", earnings: 285},
{name: "Lionel Messi", sport: "Soccer", nation: "Argentina", earnings: 111},
{name: "Cristiano Ronaldo", sport: "Soccer", nation: "Portugal", earnings: 108},
{name: "Conor McGregor", sport: "MMA", nation: "Ireland", earnings: 99},
{name: "Neymar", sport: "Soccer", nation: "Brazil", earnings: 90},
{name: "LeBron James", sport: "Basketball", nation: "United States", earnings: 85.5},
{name: "Roger Federer", sport: "Tennis", nation: "Switzerland", earnings: 77.2},
{name: "Stephen Curry", sport: "Basketball", nation: "United States", earnings: 76.9},
{name: "Matt Ryan", sport: "Football", nation: "United States", earnings: 67.3},
{name: "Matthew Stafford", sport: "Football", nation: "United States", earnings: 59.5}
]
flare = FileAttachment("flare.json").json()
({
name: "root",
children: [
{
name: "United States",
children: {
name: "Boxing",
children: {
name: "Stephen Curry",
earnings: 76.9
}
}
}
]
})
group = d3.group(data, d => d.nation, d => d.sport, d => d.name)
hierarchy = d3.hierarchy(group)
hierarchyFlare = d3.hierarchy(flare)
d3 = require("d3@6")
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