I love to build dataviz for insight discovery. I also love to put technology to the service of humanity
Evolución Coronavirus en ColombiaCoronavirus Colombia por ciudades (WIP)Coronavirus in AsiaCoronavirus LatinoaméricaCoronavirus in AfricaCoronavirus ColombiaCalifornia COVID-19 disparities bullet graphCalifornia COVID-19 disparities stacked barsUS Excess deaths Ridgeline plot vega-lite-apiMultimorbidity patterns for COVID-19 deaths in ColombiaCOVID-19 by US county19 Confirmed CasesPruebas Coronavirus ColombiaTiempo de procesamiento Pruebas Coronavirus ColombiaMapa Evolución Coronavirus Colombia
Excess Deaths Associated with COVID-19 in the US
vl.markLine({tooltip: true})
.transform(
vl.filter("datum.state!== 'United States'"),
)
.encode(
vl.x().fieldT("week_ending_date"),
vl.y().fieldQ(vl.repeat("layer")).title(""),
vl.color()
.datum(vl.repeat("layer"))
.scale({range: ["#7777", "steelblue"]}),
)
.width(facetWidth)
.height(60)
.repeat({layer: ["average_expected_count", "observed_number"]})
.facet(vl.facet()
.fieldN("state")
.sort(vl.sum("observed_number").order("descending"))
.header({
labelFontSize:13,
labelPadding:0,
labelBaseline: "top",
labelColor: "#777"
})
)
.columns(numCols)
.data(data)
.render();
numCols = Math.max(1, Math.floor((width-250)/facetWidth))
facetWidth = 200
data = fetch("https://data.cdc.gov/resource/xkkf-xrst.json?$limit=50000").then(res => res.json())
import {vl} from "@vega/vega-lite-api"
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