Public
Edited
Apr 28
reducedPardons = {
function countByStatus(a, e) {
if (!a[e.status]) {
a[e.status] = 0;
}
a[e.status] += 1;
return a
}
return pardons.reduce(countByStatus, {});
}
bubbleMark = Plot.dot(correctReduced, {
x: "status",
r: "count",
fill: "status"
})
pardonPresidents = {
function formatPardon(row) {
// First we will filter our array of presidents to get only the president at the time of the final action
// If for some reason no president shows up, we will default to null or "empty"
let president = presidents.filter(pres => pres.start <= row.final_action_date && pres.end >= row.final_action_date)[0]
|| {president: null, party: null}
// Next, we need to return the row along with the properties of the president that we want.
return {
...row,
presNumber: president.num,
president: president.president,
party: president.party
}
}
// Here we will apply our format function and then filter out any of the values with a null president
return pardons.map(formatPardon).filter(x => x.president)
}
Plot.plot({
// Margins and size
marginLeft: 120,
height: 300,
// Scales
x: {
tickSize: 0,
label: null,
},
y: {
tickSize: 0,
},
r: {
range: [0, 50]
},
color: {
range: ["steelblue", "red", "green", "orange"]
},
// Marks
marks: [
Plot.dot(reducedJoined, {
x: "status",
r: "count",
y: "party",
fill: "status"
}),
Plot.text(reducedJoined, {text: "count", y: "party", x: "status", fill: "white", fontSize: 14, fontWeight: "bold", stroke: "black"})
]
})
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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.
