The avatar for @ericmauviere
Éric Mauvière
Statistician, map-maker, dataviz consultant and trainer, Observable ambassador & R instructor. I enjoy explaining things i love in detail, the most clearly i can, and building live analytical opendataflows. @ericmauviere
Public
Edited
Jul 17, 2023
Fork of DuckDB redonne une belle jeunesse au langage SQL
29 stars
6
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db = DuckDBClient.of({
prenoms2021: FileAttachment("prenoms2021_f.parquet"),
dept: {
file: FileAttachment("dep2021.csv"),
header: true
},
reg: {
file: FileAttachment("reg2021.csv"),
header: true
}
})
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db.query('describe table dept')
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viewof extrait = {
const data = await db.query(`SELECT * FROM prenoms2021
WHERE preusuel <> '_PRENOMS_RARES' AND annais <> 'XXXX'
USING SAMPLE 100`)
// backticks ` allow to write a SQL query on several lines
// Writing SQL verbs in uppercase is not mandatory, but it's prettier!
return Inputs.table(data, {height: 200, layout: "auto", maxWidth: 500})
}
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{
const data = await db.query(
`SELECT reg || ' - '|| libgeo AS Region, arg_max(preusuel, nombre) as 'Most popular' FROM
( SELECT reg, preusuel, SUM(nombre) AS nombre
FROM prenoms2021 left join (SELECT codgeo, libgeo, lpad(reg, 2, '0') AS reg FROM dept) d
ON prenoms2021.dpt = d.codgeo
WHERE annais = ? AND sexe = ? AND preusuel <> '_PRENOMS_RARES'
GROUP BY ALL
) p LEFT JOIN reg ON p.reg = reg.codgeo
GROUP BY ALL ORDER BY ALL`,
[annais_reg, sexe_reg])

return Inputs.table(data.map(d => d.toJSON())
.map(d => {d['Most popular'] = getTitleCase(d['Most popular']); return d}), {height: 440, layout: "auto", maxWidth: 400})
}
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