Data Analytics Consultant, Instructor. Areas: Data Analytics, Geometry, Simulation, Visualization, Computer Vision, Robotics...
Published
Edited
May 15, 2021
1 fork
FileAttachment("julho.js").json()
Object.keys(aq.op)
columnar = ({
City: ["London", "Berlin", "Madrid", "Barcelona", "Munich"],
Country: ["UK", "Germany", "Spain", "Spain", "Germany"],
Population: [8615000, 3562000, 3165000, 1602000, 1494000]
})
Object.keys(columnar)
columnar
my_rands = generate_random(100,200)
five_nums = function(nums) {
return { min: Math.min(...nums), q1: d3.quantile(nums,.25), median: d3.median(nums), q3: d3.quantile(nums,.75), max: Math.max(...nums) }
}
my_rands
my_rands.join()
five_nums(my_rands)
dt2 = 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]
});
aq.fromJSON(`{
"schema":{"fields":[{"name":"a"},{"name":"b"}]},
"data":{"a":[1,3],"b":[2,4]}
}`)
dt = aq.table({
u: ['a', 'a', 'b', 'b'],
x: Int32Array.of(1, 2, 3, 4),
y: Float64Array.of(5, 6, 7, 8)
})
dt.toHTML()
html`${dt.toHTML()}`
Object.keys(aq.op).join(";\n")
op.sequence(1,100,3)
import { aq, op } from '@uwdata/arquero'
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