The avatar for @mjlobo
mjlobo
Public
Edited
Jan 19, 2024
Fork of Visualization of car accidents in Chicago
9
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import { aq, op } from '@uwdata/arquero'
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embed = require("vega-embed@5")
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vegalite = require("@observablehq/vega-lite@0.1")
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viewof accidents_de_voiture_chicago = aq // viewof shows the table view, but assigns the table value
.fromCSV(await FileAttachment('car_crashes_chicago@7.csv').text())
.view({ height: 240 })
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embed({
$schema: "https://vega.github.io/schema/vega-lite/v5.json",
width: 500,
height: 500,
data: {url: "https://mjlobo.github.io/teaching/mde/data/chicagosideswithid.json",
format: {type: "topojson", feature: "chicago_sides"} // on doit indiquer quels objets on va dessiner
},
projection: {type :"mercator" },
mark: {
type: "geoshape"
}
})
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viewof car_crashes = aq
.fromCSV(await FileAttachment('join_layer.csv').text())
.view({ height: 240 })
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viewof centroids = aq
.fromCSV(await FileAttachment('centroids.csv').text())
.view({ height: 240 })
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dashb_data_bycond = car_crashes.groupby('conditions_atmospheriques', 'conditions_luminosite', 'vitesse', 'id').count().reify()
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dashb_data_bycond.view()
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max_speed = dashb_data_bycond.rollup({ max_speed: d => op.max(d.vitesse) }).objects()[0].max_speed
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zoom = FileAttachment("zoom.png").image()
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