The avatar for @episphere
Jonas Almeida
NCI/DCEG Chief Data Scientist
Published
Edited
Jul 1, 2020
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md`<h3>3. Proportion of each cause in the excess</h3>
<p>...</p>`
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pieCause(4)
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pieCause(12)
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md`<p>Let's see this in the map:</p>`
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{
let div = DOM.element('div');
let states = Object.keys(excessStates).map(name => excessStates[name].code);
let trace = {
type: 'choropleth',
locationmode: 'USA-states',
locations: states,
z: states.map(s => {
let stname = statecode.filter(x => x.code == s)[0].state;
let stateData = excessStates[stname];
// excess mortality from all causes
let allCause = stateData.all
.map(x => (x['All Cause'] || 0) - x['Average 2015-2019'])
.reduce((a, b) => a + b);
return allCause;
})
};
Plotly.plot(div, [trace], {
title: 'total additional mortality within time range',
geo: {
scope: 'usa',
showlakes: true,
lakecolor: 'rgb(255,255,255)'
}
});
return div;
}
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d3 = require('d3')
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