Public
Edited
Mar 3, 2023
vl.layer(barChart, lineChart)
.title(`New Cases in ${Choose value}`)
.render()
d3 = require('d3')
//data = d3.csv('https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv')
data = [
{name: "A", value_1: "67", value_2: "16"},
{name: "B", value_1: "92", value_2: "49"},
{name: "C", value_1: "82", value_2: "78"},
{name: "D", value_1: "53", value_2: "25"},
{name: "E", value_1: "2", value_2: "70"},
{name: "F", value_1: "88", value_2: "28"},
{name: "G", value_1: "15", value_2: "1"},
{name: "H", value_1: "94", value_2: "09"},
{name: "I", value_1: "66", value_2: "86"},
{name: "J", value_1: "53", value_2: "15"},
{name: "K", value_1: "72", value_2: "77"}
]
data
Type Table, then Shift-Enter. Ctrl-space for more options.
//states = d3.group(data, d => d.state)
Inputs.table(data)
//viewof x = select(data.columns)
viewof x = Inputs.select(data.columns)
//viewof homeState = Inputs.select(["state"].concat(states), {label: "Home state"})
barChart=vl.markBar({color: "#FC8EAC"})
.data(data)
.transform(
vl.filter('month(datum.date) >=2'),
vl.filter(
{filed: "state"}
),
vl.window(
vl.first_value('cases').as('previous_cases')
).frame(-1, 0),
vl.calculate('datum.cases - datum.previous_cases').as('new_cases')
)
.encode(
vl.y().field('new_cases').type('quantitative').title('Cases'),
vl.x().field('date').type('temporal').title('Date')
)
.title('Daily New U.S. Covid Cases')
.height(400)
.width(width)
lineChart = vl.markLine({color: "red"})
.data(data)
.transform(
vl.filter('month(datum.date) >=2'),
vl.filter(
{filed: "state"}
),
vl.window(
vl.first_value('cases').as('previous_cases')
).frame(-1, 0),
vl.calculate('datum.cases - datum.previous_cases').as('new_cases'),
vl.window(vl.mean('new_cases').as('rolling_mean')).frame(-6,0)
)
.encode(
vl.y().field('rolling_mean').type('quantitative').title('Cases'),
vl.x().field('date').type('temporal').title('Date')
)
.height(400)
.width(width)
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