How to use the dc.pieChart function in dc

To help you get started, we’ve selected a few dc examples, based on popular ways it is used in public projects.

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github h12345jack / bilibili-Visualization / src / components / visualize.js View on Github external
export function visualize (csv_data) {

    let danmu_lineChart = dc.lineChart('#danmu-line-chart');
    let danmu_barChart = dc.barChart('#danmu-volume-chart');

    let colorChart = dc.pieChart('#color-chart');
    let posChart = dc.pieChart('#pos-chart');
    let charNumChart = dc.pieChart('#char-chart');


    let danmu_up_barChart = dc.barChart('#danmu-up-chart');

    let data = [];

            /* 修改开始出*/
    //图表宽度
    let row_width = 500;

    //弹幕时间 分割
    let time_cut = 100;
    //上传时间的分割
    let up_time_cut = 100;
    //字数分割
github h12345jack / bilibili-Visualization / src / components / DanmuVisDc.jsx View on Github external
componentDidMount(){
        console.log("here!!!");
        
        var danmu_lineChart = dc.lineChart('#danmu-line-chart');
        var danmu_barChart = dc.barChart('#danmu-volume-chart');

        var danmu_Table = dc.dataTable('.dc-data-table');
        var danmu_Count = dc.dataCount('.dc-data-count');

        var colorChart = dc.pieChart('#color-chart');
        var posChart = dc.pieChart('#pos-chart');
        var charNumChart = dc.pieChart('#char-chart');

        var danmu_up_barChart = dc.barChart('#danmu-up-chart');

        let {csv_data,video_up_time, video_len} = this.props;

        var data = [];
        var time_cut = 100;
        //图标宽度
        var row_width = $("div.bootstrap-custom").width() * 10 /12;
        console.log(row_width, 55);
        row_width = row_width> 0 ? row_width: 400; 
        var up_time_cut = 100;
        //字数分割
        var char_num_cut = 5;
        var video_length = parseFloat(csv_data[1].video_len);
github mozilla / MozDef / meteor / client / attackers.js View on Github external
Template.attackers.rendered = function () {

        //setup charts, dimensions and mongoCrossfilter
        var ringChartAttackerCategory   = dc.pieChart("#ringChart-category","attackers");
        var ringChartLastSeen   = dc.pieChart("#ringChart-lastseen","attackers");
        var ringChartCountry = dc.pieChart("#ringChart-country","attackers");
        var ringChartIP = dc.pieChart("#ringChart-ip","attackers");
        var chartsInitialized   =false;
        var currentSearch=null;

        //faux crossfilter to retrieve it's data from meteor/mongo:
        var mongoCrossfilter = {}
        function getSearchCriteria(){
            //default selection criteria
            //$and will be used by the charts
            basecriteria={$and: [
                                {lastseentimestamp: {$exists: true}},
                                {'indicators.ipv4address': {$regex: Session.get("attackersearchIP")}}
                                ]
                    }
            return basecriteria;
        }
github NSWSESMembers / Lighthouse / pages / scripts / stats.js View on Github external
function makePie(elem, w, h, dimension, group) {
  var chart = dc.pieChart(elem);
  chart.width(w)
    .height(h)
    .radius(110)
    .innerRadius(0)
    .dimension(dimension)
    .group(group);
  chart.legend(dc.legend().legendText(function(d) {
    return d.name + ' (' + d.data + ')';
  }).x(0).y(20))
  chart.on('renderlet', function(chart) {
    chart.selectAll('text.pie-slice')
      .attr('transform', function(d) {
        var translate = d3.select(this).attr('transform');
        var ang = ((d.startAngle + d.endAngle) / 2 * 180 / Math.PI) % 360;
        if (ang < 180) ang -= 90;
        else ang += 90;
github mozilla / MozDef / meteor / client / mozdefhealth.js View on Github external
Template.mozdefhealth.rendered = function() {
        var ringChartEPS = dc.pieChart( "#ringChart-EPS" );
        var totalEPS = dc.numberDisplay( "#total-EPS" );
        var ringChartLoadAverage = dc.pieChart( "#ringChart-LoadAverage" );

        refreshChartData = function() {
            var frontEndData = healthfrontend.find( {} ).fetch();
            var ndx = crossfilter( frontEndData );

            if ( frontEndData.length === 0 && ndx.size() > 0 ) {
                debugLog( 'clearing ndx/dc.js' );
                dc.filterAll();
                ndx.remove();
                dc.redrawAll();
            } else {
                ndx = crossfilter( frontEndData );
            }
            if ( ndx.size() > 0 ) {
github Graylog2 / graylog2-server / javascript / src / components / visualizations / QuickValuesVisualization.jsx View on Github external
_renderPieChart() {
    const graphDomNode = this.refs.graph;

    this.pieChart = dc.pieChart(graphDomNode, this.dcGroupName);
    this.pieChart
      .dimension(this.dimension)
      .group(this.group)
      .renderLabel(false)
      .renderTitle(false)
      .slicesCap(this.NUMBER_OF_TOP_VALUES)
      .ordering((d) => d.value)
      .colors(D3Utils.glColourPalette());

    this._resizeVisualization(this.props.width, this.props.height, this.props.config.show_data_table);

    D3Utils.tooltipRenderlet(this.pieChart, 'g.pie-slice', this._formatGraphTooltip);

    $(graphDomNode).tooltip({
      'selector': '[rel="tooltip"]',
      'container': 'body',
github Graylog2 / graylog2-server / graylog2-web-interface / src / components / visualizations / QuickValuesVisualization.jsx View on Github external
_renderPieChart(props) {
    const graphDomNode = this._graph;

    this.pieChart = dc.pieChart(graphDomNode, this.dcGroupName);
    this.pieChart
      .dimension(this.dimensionByTerm)
      .group(this.group)
      .othersGrouper((topRows) => {
        const chart = this.pieChart;
        const allRows = chart.group().all();
        const allKeys = allRows.map(chart.keyAccessor());
        const topKeys = topRows.map(chart.keyAccessor());
        const topSet = d3.set(topKeys);
        const topRowsSum = d3.sum(topRows, dc.pluck('value'));
        const otherCount = this.state.total - this.state.missing - topRowsSum;

        return topRows.concat([{ others: allKeys.filter(d => !topSet.has(d)), key: 'Others', value: otherCount }]);
      })
      .renderLabel(false)
      .renderTitle(false)
github mozilla / MozDef / meteor / client / mozdefhealth.js View on Github external
Template.mozdefhealth.rendered = function() {
        var ringChartEPS = dc.pieChart( "#ringChart-EPS" );
        var totalEPS = dc.numberDisplay( "#total-EPS" );
        var ringChartLoadAverage = dc.pieChart( "#ringChart-LoadAverage" );

        refreshChartData = function() {
            var frontEndData = healthfrontend.find( {} ).fetch();
            var ndx = crossfilter( frontEndData );

            if ( frontEndData.length === 0 && ndx.size() > 0 ) {
                debugLog( 'clearing ndx/dc.js' );
                dc.filterAll();
                ndx.remove();
                dc.redrawAll();
            } else {
                ndx = crossfilter( frontEndData );
            }
            if ( ndx.size() > 0 ) {
                var hostDim = ndx.dimension( function( d ) { return d.hostname; } );
                var hostEPS = hostDim.group().reduceSum( function( d ) { return d.details.total_deliver_eps.toFixed( 2 ); } );
github mozilla / MozDef / meteor / client / attackers.js View on Github external
Template.attackers.rendered = function () {

        //setup charts, dimensions and mongoCrossfilter
        var ringChartAttackerCategory   = dc.pieChart("#ringChart-category","attackers");
        var ringChartLastSeen   = dc.pieChart("#ringChart-lastseen","attackers");
        var ringChartCountry = dc.pieChart("#ringChart-country","attackers");
        var ringChartIP = dc.pieChart("#ringChart-ip","attackers");
        var chartsInitialized   =false;
        var currentSearch=null;

        //faux crossfilter to retrieve it's data from meteor/mongo:
        var mongoCrossfilter = {}
        function getSearchCriteria(){
            //default selection criteria
            //$and will be used by the charts
            basecriteria={$and: [
                                {lastseentimestamp: {$exists: true}},
                                {'indicators.ipv4address': {$regex: Session.get("attackersearchIP")}}
                                ]
                    }
github TensorMSA / tensormsa_old / tfmsaview / static / js / NNConfiguration / TrainStatic / LabelByChartComponent.jsx View on Github external
createChart(section, allData){
            let data = allData[section];
            let domianList = this.arraySwap(section, allData);
            let colorList = this.createColorArray(section, allData);
            let chart = dc.pieChart('#_' + section,'_' + section);
            let ndx = crossfilter(data);
            let Dimension  = ndx.dimension(function(d) {return d.label;});
            let dataGroup = Dimension.group().reduceSum(function(d) {return d.value;});
            let colorScale = d3.scale.ordinal().domain(domianList).range(colorList);

            chart
                .width(200)
                .height(200)
                .innerRadius(0)
                .dimension(Dimension)
                .colors(function(d){
                    return colorScale(d)
                })
                .transitionDuration(1500) 
                .group(dataGroup);
            chart.render('_' + section);

dc

A multi-dimensional charting library built to work natively with crossfilter and rendered using d3.js

Apache-2.0
Latest version published 3 years ago

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