Public
Edited
Mar 13, 2023
top20songs_1970s2000s = FileAttachment("top20songs_1970s-2000s.json").json()
viewof table = Inputs.table(top20songs_1970s2000s)
top20songs_1970s-2000s.json
Type Table, then Shift-Enter. Ctrl-space for more options.
decade = [...new Set(top20songs_1970s2000s.map(item => item.Decade))];
country = [...new Set(top20songs_1970s2000s.map(item => item.Country))];
Plot.plot({
marks: [
Plot.dot(top20songs_1970s2000s, {x: "speechiness", y: "loudness", fill: "Decade", title: "Name"})
],
color: {
domain: decade,
legend: true
}
})
chart = ScatterplotMatrix(top20songs_1970s2000s, {
columns: [
"Rank",
"danceability",
"energy",
"loudness",
"key",
"speechiness",
"acousticness",
"instrumentalness",
"liveness",
"valence",
"tempo",
"duration_ms"
],
z: d => d.Decade
})
Plot.plot({
marks: [
Plot.boxX(top20songs_1970s2000s, {x: "valence", y: "Decade", sort: {y: "y"}}, )
]
})
Plot.plot({
marks: [
Plot.rectY(top20songs_1970s2000s, Plot.binX({y: "count"}, {x: "duration_ms"}, {z: "Decade"})),
Plot.ruleY([0])
]
})
Plot.plot({
marks: [
Plot.tickX(top20songs_1970s2000s, {x: "acousticness", y: "Decade"})
]
})
top20songs_1970s2000s.filter
Plot.plot({
facet: {
data: top20songs_1970s2000s,
y: "Decade",
height: 1500,
},
marks: [
Plot.frame(),
Plot.dot(top20songs_1970s2000s, {x: "energy", y: "key"})
]
})
Plot.plot({
height: 180,
marks: [
Plot.dot(cars, Plot.dodgeY({x: "weight (lb)"}))
]
})
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