Data visualization and analysis at the University of Washington, Seattle.
ArqueroIntroducing ArqueroAn Illustrated Guide to Arquero VerbsTidy Data in JavaScriptWorking with Window QueriesArquero CookbookAdding Aggregate Functions to ArqueroArquero Row ManipulationArquero and Apache ArrowArquero and D3Multi-Line Chart Data PreparationPeeking into the Gaia Star Catalog
Arquero Roll-Up and Drill-Down
viewof base = aq.table({
group: ['a', 'a', 'b', 'b', 'b', 'c', 'c'],
value: [5, 4, 7, 6, 9, 3, 8]
})
.view()
viewof summary = base
.groupby('group')
.rollup({
count: op.count(),
sum: op.sum('value'),
min: op.min('value'),
max: op.max('value')
})
.view()
base
.filter(d => d.group === 'b')
.view()
summary
.filter(d => d.max === op.max(d.max))
.view()
base
.semijoin(summary.filter(d => d.max === op.max(d.max)))
.view()
viewof lineage = base
.derive({ index: d => op.row_number() - 1 }) // <-- add row indices before grouping
.groupby('group')
.rollup({
count: op.count(),
sum: op.sum('value'),
min: op.min('value'),
max: op.max('value'),
rows: op.array_agg('index') // <-- aggregate row indices
})
.view()
base.reify(lineage.get('rows', 1)).view()
lineage
.array('rows') // get an array of index arrays
.map(indices => base.reify(indices)) // map to create one table per group
viewof nested = base
.groupby('group')
.rollup({
count: op.count(),
sum: op.sum('value'),
min: op.min('value'),
max: op.max('value'),
rows: d => op.array_agg(op.row_object()) // aggregate row objects
})
.view()
nested.objects()
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