The avatar for @cmudig
CMU Data Interaction Group
We are a research group at the CMU HCII. Our mission is to empower people to analyze and communicate data with interactive systems.
Public
Edited
Sep 29, 2023
6 forks
Importers
49 stars
2
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client1 = {
// create a new client
const c = await DuckDBClient.of();

// create a table called `dt` with three columns
await c.query(`CREATE TABLE dt(u STRING, x INTEGER, y FLOAT)`);
// insert values into `dt`
await c.query(
`INSERT INTO dt VALUES ('a', 1, 5), ('b', 2, 6), ('c', 3, 7), ('d', 4, 8);`
);

return c;
}
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Inputs.table(client1.describeTables())
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Inputs.table(client1.describeColumns({ table: "dt" }))
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client1
SELECT u FROM dt
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client2 = DuckDBClient.of({
beer: FileAttachment("beer.csv"),
breweries: FileAttachment("breweries.csv")
})
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Inputs.table(client2.describeColumns({ table: "beer" }))
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Inputs.table(client2.describeColumns({ table: "breweries" }))
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client2
SELECT * FROM beer
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client2
SUMMARIZE beer
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client2
SELECT name, style, ibu
FROM beer
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client2
SELECT name AS 'Beer Name'
FROM beer
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client2
SELECT name, style, ibu
FROM beer
LIMIT 5
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client2
SELECT name, style, abv
FROM beer
ORDER BY abv
LIMIT 5
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client2
SELECT name, style, abv
FROM beer
ORDER BY abv DESC
LIMIT 5
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client2
SELECT *
FROM beer
WHERE style = 'Kölsch'
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client2
SELECT *
FROM beer
WHERE name LIKE '%Hop%'
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client2
SELECT *, 3 * abv + log10(ibu) / 3 AS intensity
FROM beer
ORDER BY intensity DESC
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client2
SELECT count()::INT as count
FROM beer
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client2
SELECT count(DISTINCT name)::INT as count
FROM beer
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client2
SELECT
avg(abv),
avg(ibu),
avg(3 * abv + log10(ibu) / 3) AS 'avg(intensity)',
corr(abv, ibu),
count()::INT AS count
FROM beer
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client2
SELECT
style,
avg(abv),
avg(ibu),
avg(3 * abv + log10(ibu) / 3) AS "avg(intensity)",
count()::INT AS count
FROM beer
GROUP BY style
HAVING count() > 20 -- let's not trust results with little support...
ORDER BY "avg(intensity)" DESC
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client2
SELECT
style,
arg_max(name, 3 * abv + log10(ibu) / 3) as "name",
max(3 * abv + log10(ibu) / 3) AS "intensity"
FROM beer
GROUP BY style
HAVING count() > 20
ORDER BY "intensity" DESC
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client2
WITH beers_intensity AS (
SELECT
*,
3 * abv + log10(ibu) / 3 AS "intensity"
FROM beer
)
SELECT
style,
arg_max(name, intensity),
avg(intensity)
FROM beers_intensity
GROUP BY style
HAVING count() > 20
ORDER BY avg(intensity) DESC
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client2
CREATE OR REPLACE VIEW beers_intensity AS
SELECT
*,
3 * abv + log10(ibu) / 3 AS "intensity"
FROM beer
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client_with_intensity = (beerView, client2)
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client_with_intensity
SELECT * FROM beers_intensity
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client2
SELECT
name, style, abv, ibu,
avg(3 * abv + log10(ibu) / 3) OVER(PARTITION BY style) AS "avg(intensity)"
FROM beer
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client2
WITH beers_intensity AS (
SELECT
*,
3 * abv + log10(ibu) / 3 AS "intensity"
FROM beer
)
SELECT
name, style, abv, ibu,
COALESCE((intensity - avg(intensity) OVER(w))
/ stddev_samp(intensity) OVER(w), 0)
AS "zscore"
FROM beers_intensity
WINDOW w as (PARTITION BY style)
ORDER BY zscore DESC
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client2
WITH beers_intensity AS (
SELECT
*,
3 * abv + log10(ibu) / 3 AS "intensity"
FROM beer
),
beer_zscore AS (
SELECT
*,
COALESCE((intensity - avg(intensity) OVER(w))
/ stddev_samp(intensity) OVER(w), 0)
AS "zscore",
rank() OVER(PARTITION BY style ORDER BY intensity DESC) AS rank,
count() OVER(w) AS count
FROM beers_intensity
WINDOW w AS (PARTITION BY style)
ORDER BY zscore DESC
)
SELECT name, style, abv, ibu, zscore
FROM beer_zscore
WHERE rank = 1 AND count > 20
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client2
SELECT arg_max(name, abv), max(abv)
FROM beer
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client2
SELECT name, abv
FROM beer
WHERE abv = (
SELECT max(abv)
FROM beer
)
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client2
SELECT style, name, abv
FROM beer AS beer_parent
WHERE abv = (
SELECT max(abv)
FROM beer
WHERE beer.style = beer_parent.style
)
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client2
SELECT arg_max(style, abv), arg_max(name, abv), max(abv)
FROM beer
GROUP BY style
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client2
SELECT *
FROM breweries
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client2
SELECT *
FROM beer JOIN breweries USING (brewery_id)
LIMIT 5
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client2
SELECT *
FROM beer JOIN breweries ON (beer.brewery_id = breweries.brewery_id)
LIMIT 5
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client2
SELECT *
FROM beer NATURAL JOIN breweries
LIMIT 5
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client2
SELECT *
FROM beer, breweries
WHERE beer.brewery_id = breweries.brewery_id
LIMIT 5
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client2
SELECT
beer.name,
beer.style,
beer.abv,
beer.ibu,
breweries."brewery-name",
breweries.city,
breweries.state
FROM beer, breweries
WHERE beer.brewery_id = breweries.brewery_id
LIMIT 5
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client2
SELECT
beer.style,
count(DISTINCT breweries."brewery-name")::INT as breweries
FROM beer, breweries
WHERE beer.brewery_id = breweries.brewery_id
GROUP BY beer.style
ORDER BY breweries DESC
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client_with_intensity
Type Table, then Shift-Enter. Ctrl-space for more options.

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