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Published
Edited
Apr 14, 2022
18 forks
Importers
13 stars
6
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db
SELECT * FROM items
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db
SELECT * FROM events LIMIT 100
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db
SELECT type, COUNT(*)::INT AS count FROM events GROUP BY type ORDER BY count DESC
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db
SELECT MIN(date) AS min, MAX(date) AS max FROM events
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db
SELECT *
FROM events
JOIN items on events.item_id = items.id
WHERE type = 'purchase'
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purchases
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Plot.plot({
marks: [
Plot.rectY(
purchases,
Plot.binX(
{ y: "sum" },
{
x: "date",
y: "price_in_usd",
fill: "category",
thresholds: d3.utcDay,
}
)
)
],
color: { legend: true, columns: "100px" },
})
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db
SELECT * FROM users LIMIT 100
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db
SELECT date_trunc('day', date) as day, count(*)::INT as count
FROM users
WHERE date > TIMESTAMP '2020-07-01'
GROUP BY day
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Plot.rectY(dailyFirstTouch, { x: "day", y: "count", interval: d3.utcDay }).plot()
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items = FileAttachment("items.csv").csv({ typed: true })
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events = FileAttachment("events@1.csv").csv({ typed: true })
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users = FileAttachment("users.csv").csv({ typed: true })
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db = DuckDBClient.of([
FileAttachment("items.parquet"),
FileAttachment("events@1.parquet"),
FileAttachment("users@1.parquet"),
])
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db.describe()
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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.
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