Metis.MetisChart = function()

in ui/js/app.js [48:117]
55 lines of code
6 McCabe index (conditional complexity)

  Metis.MetisChart = function () {
    // Plugin check
    if (!$().plot) {
      throw new Error('flot plugin require form MetisChart');
    }
    // Human charts
    $.plot(human, [{ data: d2, label: 'MAN' }, { data: d3, label: 'WOMAN' }], {
      clickable: true,
      hoverable: true,
      series: {
        lines: {
          show: true,
          fill: true,
          fillColor: {
            colors: [{ opacity: 0.5 }, { opacity: 0.15 }]
          }
        },
        points: { show: true }
      }
    });

    // BAR charts
    $.plot(bar, [{
      data: d2,
      label: 'BAR'
    }], {
      clickable: true,
      hoverable: true,
      series: {
        bars: { show: true, barWidth: 0.6 },
        points: { show: true }
      }
    });

    // EYE charts
    for (var i = -5; i <= 5; i += 0.5) {
      parabola.push([i, Math.pow(i, 2) - 25]);
      parabola2.push([i, -Math.pow(i, 2) + 25]);
    }

    for (var c = -2; c <= 2.1; c += 0.1) {
      circle.push([c, Math.sqrt(400 - c * c * 100)]);
      circle.push([c, -Math.sqrt(400 - c * c * 100)]);
    }

    $.plot(eye, [{ data: parabola2, lines: { show: true, fill: true } }, { data: parabola, lines: { show: true, fill: true } }, { data: circle, lines: { show: true } }]);

    // HEART charts
    for (i = -2; i <= 5; i += 0.01) {
      heartA.push([16 * Math.pow(Math.sin(i), 3), 13 * Math.cos(i) - 5 * Math.cos(2 * i) - 2 * Math.cos(3 * i) - Math.cos(4 * i)]);
    }
    $.plot($("#heart"), [{ data: heartA, label: '<i class="fa fa-heart"></i>', color: '#9A004D' }], {
      series: {
        lines: { show: true, fill: true },
        points: { show: false }
      },
      yaxis: { show: true },
      xaxis: { show: true }
    });
    $('#heart .legendLabel').addClass('animated pulse');
    setInterval(function () {
      $('#heart .legendLabel .fa.fa-heart').toggleClass('fa-2x');
    }, 400);

    // BERNOILLI charts
    for (var k = 0; k <= 2 * Math.PI; k += 0.01) {
      bernoulliA.push([lemniscatex(k), lemniscatey(k)]);
    }
    $.plot($("#bernoilli"), [{ data: bernoulliA, label: 'Lemniscate of Bernoulli', lines: { show: true, fill: true } }]);
  };