Data visualization and analysis at the University of Washington, Seattle.
Arquero
dt = aq.table({
'Seattle': [69, 108, 178, 207, 253, 268, 312, 281, 221, 142, 72, 52],
'Chicago': [135, 136, 187, 215, 281, 311, 318, 283, 226, 193, 113, 106],
'San Francisco': [165, 182, 251, 281, 314, 330, 300, 272, 267, 243, 189, 156]
});
// Arquero table expressions can use arrow function syntax.
dt.derive({
month: d => op.row_number(),
diff: d => d.Seattle - d.Chicago
})
.select('month', 'diff')
.orderby('month')
.view({ height: 400 });
// Aggregate operations accept column name strings outside a function context.
dt.rollup({
corr_sf: op.corr('Seattle', 'San Francisco'),
corr_chi: op.corr('Seattle', 'Chicago')
})
.view();
// Reshape (fold) the data to a two column layout: city, sun.
dt.fold(aq.all(), { as: ['city', 'sun'] })
.groupby('city')
.rollup({
min: d => op.min(d.sun), // functional form of op.min('sun')
max: d => op.max(d.sun),
avg: d => op.average(d.sun),
med: d => op.median(d.sun),
// functional forms permit flexible table expressions
skew: ({sun: s}) => (op.mean(s) - op.median(s)) / op.stdev(s) || 0
})
.objects()
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