US Excess deaths Ridgeline plot vega-lite-api / John Alexis Guerra Gómez

I love to build dataviz for insight discovery. I also love to put technology to the service of humanity

Published

Edited

Jun 28, 2020

4 stars

US Excess deaths Ridgeline plot vega-lite-api

vl.markLine({tooltip: true, fill: 'white', opacity: 0.9, strokeWidth:2})

.encode(

vl.x().fieldT("week_ending_date").axis({grid:false}),

vl.y().fieldQ(vl.repeat("layer")).scale({range: [step, -overlap * step]}).axis(null).axis(false),

vl.color().datum(vl.repeat("layer")).scale({range:["#777", "steelblue"]}),

vl.detail().fieldN("state"),

)

.width(width*.7)

.height(step) // facet cell height

.repeat({layer: ["average_expected_count", "observed_number"]})

.facet(vl.facet()

.fieldN("state")

.spacing(0)

.header({title: null, labelPadding: 0, labelFontSize: 10,

labelOrient: "left",

labelAlign: "left",

labelAngle: 0,

labelBaseline: "bottom"})

.sort(vl.sum("observed_number").order("descending"))

)

.bounds('flush') // use facet cell height for layout, not the full mark bounds

.padding(0) // no chart padding

.config({view: {stroke: null}}) // no cell borders

.columns(1)

.data(data.filter(d => d.state!=="United States").slice(0,5000))

.config({"view": {"stroke": "transparent"}})

.render()

data = loadSocrata(url)

import {loadSocrata} from "@john-guerra/socrata-load-multiples-pages"

import {vl} from "@vega/vega-lite-api"

import {slider} from "@jashkenas/inputs"

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