buildvis = {
let view = md`${container()}`
let magBarChart = dc.barChart(view.querySelector('#magnitude-chart'))
let depthBarChart = dc.barChart(view.querySelector('#depth-chart'))
let timeLineChart = dc.lineChart(view.querySelector('#time-chart'))
let tableChart = dc.dataTable(view.querySelector('#dc-table-graph'))
magBarChart.width(360)
.height(150)
.margins({top:10, right: 20, bottom:20, left:30})
.x(magScale)
.gap(70)
.dimension(magDimension)
.group(magDimensionCount)
.centerBar(true)
.elasticY(true)
.renderHorizontalGridLines(true)
depthBarChart.width(360)
.height(150)
.margins({top:10, right: 20, bottom:20, left:30})
.x(depthScale)
.gap(70)
.dimension(depthDimension)
.group(depthDimensionCount)
.centerBar(true)
.elasticY(true)
.renderHorizontalGridLines(true)
timeLineChart.width(800)
.height(150)
.margins({top:10, right: 10, bottom:20, left:40})
.x(hourScale)
.dimension(hourDimension)
.group(hourDimensionCount)
.renderHorizontalGridLines(true)
.brushOn(false)
tableChart.width(width)
.height(800)
.dimension(dateDimension)
.group(d=> "List of all earthquakes corresponding to the filters")
.size(5)
.columns(['dtg', {
'label': 'Magnitude',
'format': d=>format(d.magnitude)},
'depth',
'latitude',
'longitude'])
.sortBy(d=>d.dtg)
.order(d3.ascending)
dc.renderAll()
return view
}
format = d3.format(".1f")
dataset = d3.csv("https://gist.githubusercontent.com/emanueles/301057974a02cf8446e42c1e46c9c742/raw/0ed6d119afbc5eeddc7f763d3708fc1829d22c9f/earthquakes.csv").then(function(data) {
let parseDate = d3.utcParse("%Y-%m-%dT%H:%M:%S");
data.forEach(function(d) {
d.dtg = parseDate(d.origintime.substr(0,19))
d.magnitude = + d.magnitude
d.depth = Math.round(+d.depth)
})
return data;
})
facts = crossfilter(dataset)
dateDimension = facts.dimension(d => d.dtg)
magDimension = facts.dimension(d => Math.round((d.magnitude + Number.EPSILON)*10) /10 )
magDimensionCount = magDimension.group()
// magScale = d3.scaleLinear()
// .domain([0, Math.round((magDimension.top(1)[0].magnitude + Number.EPSILON)* 10)/10])
magScale = d3.scaleLinear()
.domain([0, magDimension.top(1)[0].magnitude])
depthDimension = facts.dimension(d => d.depth )
depthDimensionCount = depthDimension.group()
depthScale = d3.scaleLinear()
.domain([0, depthDimension.top(1)[0].depth])
hourDimension = facts.dimension(d => d3.timeHour(d.dtg))
hourDimensionCount = hourDimension.group()
hourScale = d3.scaleTime()
.domain(d3.extent(dataset, d=>d.dtg))
function container() {
return `
<main role="main" class="container">
<div class="row">
<h4> Earthquakes in New Zealand</h4>
</div>
<div class='row'>
<div id='magnitude-chart' class="col-6">
<h5> Number of Events by Magnitude </h5>
</div>
<div id='depth-chart' class="col-6">
<h5> Events by Depth (km) </h5>
</div>
</div>
<div class='row'>
<div id='time-chart' class="single-col">
<h5> Events per hour </h5>
</div>
</div>
<table class="table table-hover" id="dc-table-graph">
<thead>
<tr class="header">
<th>DTG</th>
<th>Magnitude</th>
<th>Depth</th>
<th>Latitude</th>
<th>Longitude</th>
</tr>
</thead>
</table>
<p>Earthquake data via <a href="https://quakesearch.geonet.org.nz/">Geonet</a>.</p>
</main>
`
}
dc = require('dc')
crossfilter = require('crossfilter2')
d3 = require('d3')
$ = require('jquery').then(jquery => {
window.jquery = jquery;
return require('popper@1.0.1/index.js').catch(() => jquery);
})
bootstrap = require('bootstrap')
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