Election_TNELA2026/target/classes/static/assets/js/charts.js

(function($) {
  'use strict';
  var c3LineChart = c3.generate({
    bindto: '#c3-line-chart',
    data: {
      columns: [
        ['data1', 30, 200, 100, 400, 150, 250],
        ['data2', 50, 20, 10, 40, 15, 25]
      ]
    },
    color: {
      pattern: ['rgba(88,216,163,1)', 'rgba(237,28,36,0.6)', 'rgba(4,189,254,0.6)']
    },
    padding: {
      top: 0,
      right: 0,
      bottom: 30,
      left: 0,
    }
  });

  setTimeout(function() {
    c3LineChart.load({
      columns: [
        ['data1', 230, 190, 300, 500, 300, 400]
      ]
    });
  }, 1000);

  setTimeout(function() {
    c3LineChart.load({
      columns: [
        ['data3', 130, 150, 200, 300, 200, 100]
      ]
    });
  }, 1500);

  setTimeout(function() {
    c3LineChart.unload({
      ids: 'data1'
    });
  }, 2000);

  var c3SplineChart = c3.generate({
    bindto: '#c3-spline-chart',
    data: {
      columns: [
        ['data1', 30, 200, 100, 400, 150, 250],
        ['data2', 130, 100, 140, 200, 150, 50]
      ],
      type: 'spline'
    },
    color: {
      pattern: ['rgba(88,216,163,1)', 'rgba(237,28,36,0.6)', 'rgba(4,189,254,0.6)']
    },
    padding: {
      top: 0,
      right: 0,
      bottom: 30,
      left: 0,
    }
  });
  var c3BarChart = c3.generate({
    bindto: '#c3-bar-chart',
    data: {
      columns: [
        ['data1', 30, 200, 100, 400, 150, 250],
        ['data2', 130, 100, 140, 200, 150, 50]
      ],
      type: 'bar'
    },
    color: {
      pattern: ['rgba(88,216,163,1)', 'rgba(4,189,254,0.6)', 'rgba(237,28,36,0.6)']
    },
    padding: {
      top: 0,
      right: 0,
      bottom: 30,
      left: 0,
    },
    bar: {
      width: {
        ratio: 0.7 // this makes bar width 50% of length between ticks
      }
    }
  });

  setTimeout(function() {
    c3BarChart.load({
      columns: [
        ['data3', 130, -150, 200, 300, -200, 100]
      ]
    });
  }, 1000);

  var c3StepChart = c3.generate({
    bindto: '#c3-step-chart',
    data: {
      columns: [
        ['data1', 300, 350, 300, 0, 0, 100],
        ['data2', 130, 100, 140, 200, 150, 50]
      ],
      types: {
        data1: 'step',
        data2: 'area-step'
      }
    },
    color: {
      pattern: ['rgba(88,216,163,1)', 'rgba(4,189,254,0.6)', 'rgba(237,28,36,0.6)']
    },
    padding: {
      top: 0,
      right: 0,
      bottom: 30,
      left: 0,
    }
  });
  var c3PieChart = c3.generate({
    bindto: '#c3-pie-chart',
    data: {
      // iris data from R
      columns: [
        ['data1', 30],
        ['data2', 120],
      ],
      type: 'pie',
      onclick: function(d, i) {
        console.log("onclick", d, i);
      },
      onmouseover: function(d, i) {
        console.log("onmouseover", d, i);
      },
      onmouseout: function(d, i) {
        console.log("onmouseout", d, i);
      }
    },
    color: {
      pattern: ['#6153F9', '#8E97FC', '#A7B3FD']
    },
    padding: {
      top: 0,
      right: 0,
      bottom: 30,
      left: 0,
    }
  });

  setTimeout(function() {
    c3PieChart.load({
      columns: [
        ["Income", 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.3, 0.2, 0.2, 0.1, 0.2, 0.2, 0.1, 0.1, 0.2, 0.4, 0.4, 0.3, 0.3, 0.3, 0.2, 0.4, 0.2, 0.5, 0.2, 0.2, 0.4, 0.2, 0.2, 0.2, 0.2, 0.4, 0.1, 0.2, 0.2, 0.2, 0.2, 0.1, 0.2, 0.2, 0.3, 0.3, 0.2, 0.6, 0.4, 0.3, 0.2, 0.2, 0.2, 0.2],
        ["Outcome", 1.4, 1.5, 1.5, 1.3, 1.5, 1.3, 1.6, 1.0, 1.3, 1.4, 1.0, 1.5, 1.0, 1.4, 1.3, 1.4, 1.5, 1.0, 1.5, 1.1, 1.8, 1.3, 1.5, 1.2, 1.3, 1.4, 1.4, 1.7, 1.5, 1.0, 1.1, 1.0, 1.2, 1.6, 1.5, 1.6, 1.5, 1.3, 1.3, 1.3, 1.2, 1.4, 1.2, 1.0, 1.3, 1.2, 1.3, 1.3, 1.1, 1.3],
        ["Revenue", 2.5, 1.9, 2.1, 1.8, 2.2, 2.1, 1.7, 1.8, 1.8, 2.5, 2.0, 1.9, 2.1, 2.0, 2.4, 2.3, 1.8, 2.2, 2.3, 1.5, 2.3, 2.0, 2.0, 1.8, 2.1, 1.8, 1.8, 1.8, 2.1, 1.6, 1.9, 2.0, 2.2, 1.5, 1.4, 2.3, 2.4, 1.8, 1.8, 2.1, 2.4, 2.3, 1.9, 2.3, 2.5, 2.3, 1.9, 2.0, 2.3, 1.8],
      ]
    });
  }, 1500);

  setTimeout(function() {
    c3PieChart.unload({
      ids: 'data1'
    });
    c3PieChart.unload({
      ids: 'data2'
    });
  }, 2500);
  var c3DonutChart = c3.generate({
    bindto: '#c3-donut-chart',
    data: {
      columns: [
        ['data1', 30],
        ['data2', 120],
      ],
      type: 'donut',
      onclick: function(d, i) {
        console.log("onclick", d, i);
      },
      onmouseover: function(d, i) {
        console.log("onmouseover", d, i);
      },
      onmouseout: function(d, i) {
        console.log("onmouseout", d, i);
      }
    },
    color: {
      pattern: ['rgba(88,216,163,1)', 'rgba(4,189,254,0.6)', 'rgba(237,28,36,0.6)']
    },
    padding: {
      top: 0,
      right: 0,
      bottom: 30,
      left: 0,
    },
    donut: {
      title: "Iris Petal Width"
    }
  });

  setTimeout(function() {
    c3DonutChart.load({
      columns: [
        ["setosa", 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.3, 0.2, 0.2, 0.1, 0.2, 0.2, 0.1, 0.1, 0.2, 0.4, 0.4, 0.3, 0.3, 0.3, 0.2, 0.4, 0.2, 0.5, 0.2, 0.2, 0.4, 0.2, 0.2, 0.2, 0.2, 0.4, 0.1, 0.2, 0.2, 0.2, 0.2, 0.1, 0.2, 0.2, 0.3, 0.3, 0.2, 0.6, 0.4, 0.3, 0.2, 0.2, 0.2, 0.2],
        ["versicolor", 1.4, 1.5, 1.5, 1.3, 1.5, 1.3, 1.6, 1.0, 1.3, 1.4, 1.0, 1.5, 1.0, 1.4, 1.3, 1.4, 1.5, 1.0, 1.5, 1.1, 1.8, 1.3, 1.5, 1.2, 1.3, 1.4, 1.4, 1.7, 1.5, 1.0, 1.1, 1.0, 1.2, 1.6, 1.5, 1.6, 1.5, 1.3, 1.3, 1.3, 1.2, 1.4, 1.2, 1.0, 1.3, 1.2, 1.3, 1.3, 1.1, 1.3],
        ["virginica", 2.5, 1.9, 2.1, 1.8, 2.2, 2.1, 1.7, 1.8, 1.8, 2.5, 2.0, 1.9, 2.1, 2.0, 2.4, 2.3, 1.8, 2.2, 2.3, 1.5, 2.3, 2.0, 2.0, 1.8, 2.1, 1.8, 1.8, 1.8, 2.1, 1.6, 1.9, 2.0, 2.2, 1.5, 1.4, 2.3, 2.4, 1.8, 1.8, 2.1, 2.4, 2.3, 1.9, 2.3, 2.5, 2.3, 1.9, 2.0, 2.3, 1.8],
      ]
    });
  }, 1500);

  setTimeout(function() {
    c3DonutChart.unload({
      ids: 'data1'
    });
    c3DonutChart.unload({
      ids: 'data2'
    });
  }, 2500);


})(jQuery);