Published
Edited
May 25, 2020
1 fork
pDeath = pInfectionNExposures*ifr[0]["val"]/100
cm_hrs = {
const data = {
"Rheumatoid/Lupus/Psoriasis":1.23,
"Diabetes":2,
"Asthma":1.2,
"Cancer":1.4,
"Heamatlogy":3.2,
"Other immunosuppressive condition":1.69,
"High Blood Pressure / Hypertension":0.95,
}
return data
};
cm_names = Object.keys(cm_hrs)
// cm_checkboxes = cm_names.reduce((a,b) => [{label:b, value:b}],[])
f_race = (race) => {
const c = {"White": 1.0,
"Asian": 1.62,
"Mixed": 1.64,
"Black": 1.71,
"Other": 1.33}
return c[race]
}
[1.23].reduce((a,b) => a*b, 1)
f_comorbid = (comorbidities) => {
const co = {"Rheumatoid/Lupus/Psoriasis":1.23,
"Diabetes":2,
"Asthma":1.2,
"Cancer":1.4,
"Heamatlogy":3.2,
"Other immunosuppressive condition":1.69,
"High Blood Pressure / Hypertension":0.95,
"Other Neurological": 2.46,
"Stroke/dementia": 1.79,
}
return comorbidities.map(d => co[d]).reduce((a,b) => a*b,1)
}
hr = [
{name:"age", val:f_age(age), log:Math.log10(f_age(age))},
{name:"sex", val:f_sex(sex), log:Math.log10(f_sex(sex))},
{name:"bmi", val:f_bmi(height, weight), log:Math.log10(f_bmi(height, weight))},
{name:"race", val:f_race(race), log:Math.log10(f_race(race))},
{name:"comorbidities", val: f_comorbid(c1), log:Math.log10(f_comorbid(c1))},
]
ifr_base = 0.8
color = d3.scaleDiverging()
.domain([1,-.2,-2])
.interpolator(d3.interpolateRdYlGn)
colort = d3.scaleSequential()
.domain([-10,8])
.interpolator(d3.interpolateTurbo)
f = d3.format(".2f");
ff = d3.format("+.0f");
figHeight = 150
fig2Height = 80
figWidth = 640
margin = ({top:20, right:0, bottom: 0, left:80})
import {checkbox} from '@jashkenas/inputs'
import {slider} from "@lemonnish/nonlinear-slider"
x = d3.scaleLog()
.domain([0.025, 40])
.range([margin.left, figWidth - margin.right])
.interpolate(d3.interpolateRound)
d3 = require.alias({
"d3-array": "d3@5",
"d3-axis": "d3@5",
"d3-dispatch": "d3@5",
"d3-drag": "d3@5",
"d3-ease": "d3@5",
"d3-scale": "d3@5",
"d3-selection": "d3@5",
"d3-transition": "d3@5"
})("d3@5", "d3-simple-slider@1")
import {legend} from "@d3/color-legend"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
