D3 Examples - dc.js pack layout demonstration

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<!DOCTYPE html>
<html lang="en">
<head>
    <title>dc.js - Pack Layout Example</title>
    <meta charset="UTF-8">
    <link rel="stylesheet" type="text/css" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/2.3.2/css/bootstrap.min.css">
      <link rel="stylesheet" type="text/css" href="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.6/dc.min.css"/>
    <style>
.oversize { display: none }
.pack-element { stroke: black; stroke-width: 0.5px }
svg text { font-size: 10px; stroke: none }
select {
    margin-bottom: .25rem;
}
label {
    display: block;
}
.chart-div {
  margin-right: 20px;
}
.chart-div.pie {
  width: 280px;
}
.page {
  margin: 0 5rem;
}
    </style>
</head>
<body>
<div class="page">
  <h2>dc.js Pack Layout Implementation</h2>
<div id="test"></div>
​
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter2/1.4.6/crossfilter.min.js"></script>
<script type="text/javascript" src="dc.min.js"></script>
<script type="text/javascript">
​
function add_chart ( id, title, ctype, div_class ) {
  if ( ! ctype ) ctype = id
  if ( ! title ) title = id
  if ( ! div_class ) div_class = ''
​
  d3.select('#test')
    .append('div')
    .classed('chart-div ' + div_class, true)
    .attr('id', id)
    .append('h4')
    .text( title );
  return dc[ctype + 'Chart']('#' + id );
}
​
​
var tr =  {
  global: 'Global Name',
  region: 'Region Name',
  subregion: 'Sub-region Name',
  intermed_region: 'Intermediate Region Name',
  country: 'Country or Area',
  ldc:  'Least Developed Countries (LDC)',
  lldc: 'Land Locked Developing Countries (LLDC)',
  sids: 'Small Island Developing States (SIDS)',
  dev:  'Developed / Developing Countries'
},
popstats_tr = {
  year: 'Year',
  country: 'Country / territory of asylum/residence',
  location: 'Location Name',
  female_0_4: 'Female 0-4',
  female_5_11: 'Female 5-11',
  female_5_17: 'Female 5-17',
  female_12_17: 'Female 12-17',
  female_18_59: 'Female 18-59',
  female_60: 'Female 60+',
  f_unknown: 'F: Unknown',
  f_total: 'F: Total',
  male_0_4: 'Male 0-4',
  male_5_11: 'Male 5-11',
  male_5_17: 'Male 5-17',
  male_12_17: 'Male 12-17',
  male_18_59: 'Male 18-59',
  male_60: 'Male 60+',
  m_unknown: 'M: Unknown',
  m_total: 'M: Total',
  ppl_total: 'Total number of people'
}
​
Promise.all([
  d3.csv('countries-regions.csv', function (d) {
    return {
      global: d['Global Name'],
      region: d['Region Name'],
      subregion: d['Sub-region Name'],
      intermed_region: d['Intermediate Region Name'],
      country: d['Country or Area'],
    };
  }),
  d3.csv('unhcr_popstats_export_demographics_all_data.csv', function (d) {
    return {
      year: +d['Year'],
      country: d['Country / territory of asylum/residence'],
      location: d['Location Name'],
//       female_0_4: +d['Female 0-4'],
//       female_5_11: +d['Female 5-11'],
//       female_5_17: +d['Female 5-17'],
//       female_12_17: +d['Female 12-17'],
//       female_18_59: +d['Female 18-59'],
//       female_60: +d['Female 60+'],
//       f_unknown: +d['F: Unknown'],
      f_total: +d['F: Total'],
//       male_0_4: +d['Male 0-4'],
//       male_5_11: +d['Male 5-11'],
//       male_5_17: +d['Male 5-17'],
//       male_12_17: +d['Male 12-17'],
//       male_18_59: +d['Male 18-59'],
//       male_60: +d['Male 60+'],
//       m_unknown: +d['M: Unknown'],
      m_total: +d['M: Total']
    };
  })
])
.then( function(data) {
​
    var cntrls = {}
​
  var padding = d3.select('#test').append('div')
      padding.append('label')
          .attr('for', 'padding')
          .text('padding value');
      padding
          .append('text')
          .text(' 0 ');
      cntrls['padding'] = padding
          .append('input')
          .attr('type', 'range')
          .attr('name', 'pad')
          .attr('id', 'padding')
          .attr('min', 0)
          .attr('max', 10)
          .attr('value', 0)
      padding
          .append('text')
          .text(' 10 ');
​
    var chart_ix = {};
​
  var loc_ix = {}
  data[0].forEach( c => loc_ix[c.country] = c );
​
  var alt_names = {
    'Serbia and Kosovo (S/RES/1244 (1999))': 'Serbia',
    'Swaziland': 'Eswatini',
    'Bonaire': "Bonaire, Sint Eustatius and Saba",
    'United Kingdom': 'United Kingdom of Great Britain and Northern Ireland'
  }
​
  var get_country = function (c) {
    if ( loc_ix[c] ) {
      return c;
    }
    else if ( alt_names[c] ) {
      return alt_names[c];
    }
    console.log(c);
  }
​
  var ndx = crossfilter( data[1].filter( d => d.year !== 2017 ) ),
  xf_dim = {
    country: ndx.dimension( d => {
      var c = get_country(d.country)
      d.global = loc_ix[c].global ? loc_ix[c].global : 'World'
      d.region = loc_ix[ c ].region ? loc_ix[ c ].region : 'unspecified'
      d.subregion = loc_ix[c].subregion ? loc_ix[c].subregion : 'unspecified'
      d.ppl_total = d.f_total + d.m_total
      return [ d.global, d.region, d.subregion, d.country ]
    }),
    m_total: ndx.dimension( d => d.m_total ),
    f_total: ndx.dimension( d => d.f_total ),
    ppl_total: ndx.dimension( d => d.ppl_total ),
    year: ndx.dimension( d => d.year ),
    region: ndx.dimension( d => d.region )
  }
​
    chart_ix.pack = add_chart( 'pack', "UNHCR's populations of concern by geolocation, 2010-2016", 'pack');
​
    chart_ix.row = add_chart( 'row', 'Region' );
    var pies = [  'year' ]
    pies.forEach( n => chart_ix[n] = add_chart( n, tr[n], 'pie', 'pie' ) )
​
    var i = 0;
​
    // set up colour scales
    var num = xf_dim.region.group().top(Infinity).map( () => ++i )
    var spectral = d3.schemeSpectral[num.length]
    var spectralite = d3.schemeSpectral[num.length].map( x => d3.color(x).darker(0.2).hex() )
    var colDomain = xf_dim.region.group().top(Infinity).map( x => x.key )
      .concat(
      xf_dim.region.group().top(Infinity).map( x => '_' + x.key ),
      xf_dim.region.group().top(Infinity).map( x => '__' + x.key ),
      [ 'World', '_undefined' ] )
​
    var specscale = d3.scaleOrdinal().domain( colDomain )
      .range( spectral.concat(
      d3.schemeSpectral[num.length].map( x => d3.color(x).darker(0.1).hex()),
      d3.schemeSpectral[num.length].map( x => d3.color(x).darker(0.2).hex()),
      [ '#999', 'none' ]
      ) )
​
    var colorAcc = function (d) {
      var key = (d.key[3] ? '' : d.key[2] ? '_' : '__') + d.key[1]
      if ( d.key[1] === undefined || d.key[1] === 'unspecified') {
        return d.key[0]
      }
      return key
    }
​
    chart_ix.pack
        .width(800)
        .height(800)
        .dimension(xf_dim.country)
        .group( xf_dim.country.group().reduceSum( d => d.ppl_total ) )
        .colors( specscale )
        .colorAccessor( colorAcc )
​
    chart_ix.row
        .width(500)
        .height(300)
        .colorAccessor( function(d){ return specscale( d.key ) })
        .colors( specscale )
        .dimension(xf_dim.region)
        .group(xf_dim.region.group())
        .legend(dc.legend())
​
​
    var year_cols = d3.scaleOrdinal()
    .domain( ndx.dimension( d => d.year ).group().top(Infinity).map( d => d.key ).sort( (a,b) => a-b ) )
    .range( d3.schemeGnBu[7] )
​
    pies.forEach( function(p) {
      chart_ix[p]
        .width(280)
        .height(250)
        .innerRadius(25)
        .dimension(xf_dim[p])
        .group(xf_dim[p].group().reduceSum( d => d.ppl_total ) )
        .drawPaths(true)
        .externalRadiusPadding(50)
        .externalLabels(25)
        .legend(dc.legend())
        .ordering(dc.pluck('year'))
        .colorAccessor(dc.pluck('key'))
        .colors(year_cols)
    })
​
​
    dc.renderAll();
    cntrls.padding.on('change', function (e) {
        chart_ix.pack.layout.padding( this.value ).redraw();
    });
});
​
</script>
​
</div>
</body>
</html>
​
​
    