I'll know it when I see it.
pickArtist = data.filter((d,i) => i === ind)[0]
pivotArtist = tidy(
[pickArtist],
pivotLonger({cols: Object.keys(metrics), namesTo: "metric", valuesTo: "value"}),
filter(d => d.value)
)
metrics = ({
"spotify_monthly": "Spotify Listeners",
"youtube_subscribers": "YouTube Subscribers",
"tiktok_followers": "TikTok Followers",
})
pivotData = tidy(
data,
pivotLonger({cols: Object.keys(metrics), namesTo: "metric", valuesTo: "value"}),
filter(d => d.value)
)
spotify_percentages = {
// total spotify listeners
let totalSpotify = tidy(
data,
select(["artist", "spotify_monthly"]),
summarize({perc: sum("spotify_monthly")})
)[0].perc
// percentages for each artist
return tidy(
data,
select(["artist", "spotify_monthly"]),
mutate({perc: d => d.spotify_monthly / totalSpotify * 100})
)
}
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.
