I like teaching, computing, and teaching computing
Unlisted
Edited
Apr 21
weather.sample(6).view()
onlyCS = enrollment.select('county', 'race', 'sex', 'AP CS', 'Non-AP CS')
viewof HSenrollment = enrollment.groupby('county').rollup({ enrollment: op.sum('Overall Enrollment') }).view()
onlyCS.join(HSenrollment, 'county').view()
viewof table = aq.from([{ col1: 'A', col2: 1 }, { col1: 'B', col2: 1 }, { col1: 'A', col2: 5 }, { col1: 'A', col2: 3 }]).view()
table
.groupby('col1')
.rollup({
sum: d => op.sum(d.col2)
})
.view()
enrollment.sample(6).view()
vl.markBar()
.data(enrollment)
.transform(
vl.groupby('race').aggregate(
vl.sum('Non-AP CS').as('totalCS'),
vl.sum('Overall Enrollment').as('totalEnroll')
),
vl.calculate('datum.totalCS / datum.totalEnroll')
.as('perCapitaEnroll')
)
.encode(
vl.x().fieldN('race'),
vl.y().fieldQ('perCapitaEnroll')
)
.render()
import {aq, op} from '@uwdata/arquero'
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