Engineer & data visualization lover | Tae Bo Enthusiast
Public
Edited
Apr 16, 2024
pe = d3.json('https://cdn.jsdelivr.net/npm/latam-atlas@0.0.4/files/peru-100k.json')
rawData = FileAttachment("entel_movil_parsed.csv", ).csv({typed: true})
coverageInfo = [
{technology: '2g', color: '#984ea3' },
{technology: '3g', color: '#4daf4a' },
{technology: '4g', color: '#377eb8' },
{technology: '5g', color: '#e41a1c' }]
// prepare data
data = rawData.map((d, i) => ({
id: i,
department: d.region,
province: d.provincia,
district: d.distrito,
hamlet: d.centro_poblado,
lat: +d.lat,
lon: +d.lon,
technology: d.tecnologia
}))
features = topojson.feature(pe, pe.objects.level2)
borders = topojson.mesh(pe, pe.objects.level2, (a, b) => a !== b)
projection = d3.geoIdentity().reflectY(true).fitSize([width, height], features) // *3/4
colorDomain = coverageInfo.map(f => f.technology)
colorRange = coverageInfo.map(f => f.color)
names = new Map(d3.groups(data, d => d.id).map(([id, [d]]) => [id, `${d.hamlet}, ${d.province}`]))
positions = new Map(d3.groups(data, d => d.id).map(([id, [d]]) => [id, [d.lon, d.lat]]))
controlMap = ({
coordFeatures: {
longitude: 'lon',
latitude: 'lat'
},
category: 'technology',
dotRadius: 3
})
updatedData = data.filter(d => new Set(technology.map(k => k.technology)).has(d.technology))
d3.filter(data, d => new Set(technology.map(k => k.technology)).has(d.technology))
viewof technology = Inputs.checkbox(coverageInfo, {
value: coverageInfo.filter(d => ["2g", "4g"].includes(d.technology)),
label: html`<b>Mobile Internet Network</b>`,
format: x =>
html`<span style="
text-transform: capitalize;
border-bottom: solid 3px ${x.color};
margin-bottom: -2px;
">${x.technology}</span>`
})
// or instead of value; valueof: d => d.technology
d3.group(data, (d) => d.technology)
function getColor(data, key) {
const mapper = d3.group(data, (d) => d.technology)
return mapper.get(key)[0].color
}
getColor(coverageInfo, "2g")
peruChart = drawMap(updatedData, {
features,
borders,
projection,
domain: colorDomain,
range: colorRange,
radius: controlMap.dotRadius,
coordinatesLabel: [controlMap.coordFeatures.longitude, controlMap.coordFeatures.latitude],
category: controlMap.category
})
//chart.update(updatedData)
controlMap.coordFeatures
function drawMap (data, {
features,
borders,
projection,
domain,
range,
radius,
coordinatesLabel,
category
} = {}) {
let value = null
const colorScale = d3.scaleOrdinal()
.domain(domain)
.range(range)
const path = d3.geoPath(projection)
const svg = d3.create('svg')
.attr('viewBox', `0, 0, ${width}, ${height}`)
// Adding cartography
svg.append('g')
.attr('fill', '#ddd')
.selectAll('path')
.data(features.features)
.enter().append('path')
.attr('d', path)
svg.append('path')
.datum(borders)
.attr('fill', 'none')
.attr('stroke', 'white')
.attr('stroke-linejoin', 'round')
.attr('pointer-events', 'none')
.attr('d', path)
// Add data
let circle = svg.append('g')
.selectAll('circle')
.attr('fill-opacity', 0.5)
.attr('stroke', 'black')
.attr('stroke-width', 0.5)
circle
.data(data)
//.join('circle')
.join(
enter => enter.append('circle')
.call(circle => circle.append('title'))
)
.attr('cx', d => projection([d[coordinatesLabel[0]], d[coordinatesLabel[1]]])[0])
.attr('cy', d => projection([d[coordinatesLabel[0]], d[coordinatesLabel[1]]])[1])
.attr('r', radius)
.attr('fill', d => colorScale(d[category]))
.call(circle => circle.select('title').text(d => `${names.get(d.id)}\ntecnología:${d.technology}`))
return svg.node()
}
width = 800
height = 800
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