The avatar for @tashapiro
Tanya Shapiro
Independent Data Analytics Consultant, passionate about data visualization and storytelling · she/her 🏳️‍🌈
Public
Edited
Dec 18, 2023
7 forks
17 stars
4
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tswift_pivoted.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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features = ["acousticness","danceability","energy", "speechiness", "instrumentalness", "liveness", "valence"]
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albums = [...new Set(songs.map(d => d.album_name))].sort()
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facet_features = ['valence','danceability','energy']
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song_features_subset = song_features.filter(d => facet_features.includes(d.feature))
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correlations = d3.cross(features, features).map(([a, b]) => ({
a,
b,
correlation: corr(Plot.valueof(songs, a), Plot.valueof(songs, b))
}))
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Select a data source…
Type SQL, then Shift-Enter. Ctrl-space for more options.

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songs
SELECT
key_name
,count(*)/263::double as songs
,count(case when mode_name='major' then track_name end)/263::double as major_songs
,count(case when mode_name='minor' then track_name end)/263::double as minor_songs
FROM songs
WHERE key_mode != 'NA'
GROUP BY 1
ORDER BY 1
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songs
SELECT
track_name
,album_name
,round(liveness,2) as liveness
,round(valence,2) as valence
,round(energy,2) as energy
,round(acousticness,2) as acousticness
FROM songs
WHERE
valence >= ${sliders.valence}
and energy >= ${sliders.energy}
and acousticness >= ${sliders.acousticness}
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import {corr} from "@observablehq/plot-correlation-heatmap"
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<style>

@import url('https://fonts.googleapis.com/css?family=Yomogi&display=swap');
@import url('https://fonts.googleapis.com/css?family=Roboto&display=swap');
@import url('https://fonts.googleapis.com/css?family=Roboto+Mono&display=swap');

div > h1, div> h2, div>h3 {
font-family:Yomogi!important;
}

body {
font-family:Roboto;
}

h1, h2 {
text-transform:uppercase;
}

h2 {
margin-bottom:10px;
}

code {
background:#D4D7F5!important;
color:#401487!important;
padding:2px 4px!important;
border-radius:3px;
}
p, h1, h2 {
max-width:100%;
}

ul {
max-width:90%;
}

li {
margin-bottom:2px;
}

label {
font-weight:bold!important;
}
</style>
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viewof select = Inputs.select(["A", "B"], {label: "Select one"})
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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.
Learn more