Create a density map

This last example shows how you can achieve virtually anything since you are coding in a sandbox. There's no limit to what you can do with Smart charts.
In this snippet, notice how we import the D3js library. Of course, you can choose to use any other library of your choice.
The resulting chart can be resized to fit your use.
agent.addChart('densityMap', async (context, resultBuilder) => {
// Load contours to draw the map
// Ref.: https://github.com/d3/d3-fetch/blob/v2.0.0/README.md#json
const contours = await superagent
.get(
`https://static.observableusercontent.com/files/6b1776f5a0a0e76e6428805c0074a8f262e3` +
`f34b1b50944da27903e014b409958dc29b03a1c9cc331949d6a2a404c19dfd0d9d36d9c32274e6ffb` +
`c07c11350ee?response-content-disposition=attachment%3Bfilename*%3DUTF-8%27%27coun` +
`ties-albers-10m.json`,
)
.buffer(true);
// Load population data
const population = await superagent
.get(
`https://static.observableusercontent.com/files/beb56a2d9534662123fa352ffff2db8472e4` +
`81776fcc1608ee4adbd532ea9ccf2f1decc004d57adc76735478ee68c0fd18931ba01fc859ee4901d` +
`eb1bee2ed1b?response-content-disposition=attachment%3Bfilename*%3DUTF-8%27%27popu` +
`lation.json`,
)
.buffer(true);
return resultBuilder.smart({
contours: JSON.parse(contours.body.toString('utf-8')),
population: JSON.parse(population.body.toString('utf-8')),
});
});
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