How to use the dc.numberDisplay 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 NSWSESMembers / Lighthouse / pages / scripts / stats.js View on Github external
var propertyChart = null;
var jobtypeChart = null;
var taskCountChart = null;
var localChart = null;
var unitChart = null;
var clusterChart = null;
var zoneChart = null;

var lowermeanChart = dc.numberDisplay("#dc-lowermean-chart");
var middlemeanChart = dc.numberDisplay("#dc-middlemean-chart");
var uppermeanChart = dc.numberDisplay("#dc-uppermean-chart");

var completionBellChart = null;

var lowerupperChart = dc.numberDisplay("#dc-lowerupper-chart");
var middlemiddleChart = dc.numberDisplay("#dc-middlemiddle-chart");
var upperlowerChart = dc.numberDisplay("#dc-upperlower-chart");


function prepareCharts(jobs, start, end, firstRun) {

  if (firstRun) //if its the first run expect everything to not exist, and draw it all
  {
    facts = crossfilter(jobs.Results)

    var all = facts.groupAll();

    //display totals
    countchart = dc.dataCount(".total");

    // jobs per hour time chart
    timeOpenChart = dc.barChart("#dc-timeopen-chart");
github NSWSESMembers / Lighthouse / pages / scripts / stats.js View on Github external
var jobtypeChart = null;
var taskCountChart = null;
var localChart = null;
var unitChart = null;
var clusterChart = null;
var zoneChart = null;

var lowermeanChart = dc.numberDisplay("#dc-lowermean-chart");
var middlemeanChart = dc.numberDisplay("#dc-middlemean-chart");
var uppermeanChart = dc.numberDisplay("#dc-uppermean-chart");

var completionBellChart = null;

var lowerupperChart = dc.numberDisplay("#dc-lowerupper-chart");
var middlemiddleChart = dc.numberDisplay("#dc-middlemiddle-chart");
var upperlowerChart = dc.numberDisplay("#dc-upperlower-chart");


function prepareCharts(jobs, start, end, firstRun) {

  if (firstRun) //if its the first run expect everything to not exist, and draw it all
  {
    facts = crossfilter(jobs.Results)

    var all = facts.groupAll();

    //display totals
    countchart = dc.dataCount(".total");

    // jobs per hour time chart
    timeOpenChart = dc.barChart("#dc-timeopen-chart");
    runningChart = dc.compositeChart("#dc-running-chart");
github NSWSESMembers / Lighthouse / pages / scripts / stats.js View on Github external
var hazardChart = null;
var propertyChart = null;
var jobtypeChart = null;
var taskCountChart = null;
var localChart = null;
var unitChart = null;
var clusterChart = null;
var zoneChart = null;

var lowermeanChart = dc.numberDisplay("#dc-lowermean-chart");
var middlemeanChart = dc.numberDisplay("#dc-middlemean-chart");
var uppermeanChart = dc.numberDisplay("#dc-uppermean-chart");

var completionBellChart = null;

var lowerupperChart = dc.numberDisplay("#dc-lowerupper-chart");
var middlemiddleChart = dc.numberDisplay("#dc-middlemiddle-chart");
var upperlowerChart = dc.numberDisplay("#dc-upperlower-chart");


function prepareCharts(jobs, start, end, firstRun) {

  if (firstRun) //if its the first run expect everything to not exist, and draw it all
  {
    facts = crossfilter(jobs.Results)

    var all = facts.groupAll();

    //display totals
    countchart = dc.dataCount(".total");

    // jobs per hour time chart
github NSWSESMembers / Lighthouse / pages / scripts / stats.js View on Github external
var statusChart = null;
var agencyChart = null;
var eventChart = null;
var priorityChart = null;
var hazardChart = null;
var propertyChart = null;
var jobtypeChart = null;
var taskCountChart = null;
var localChart = null;
var unitChart = null;
var clusterChart = null;
var zoneChart = null;

var lowermeanChart = dc.numberDisplay("#dc-lowermean-chart");
var middlemeanChart = dc.numberDisplay("#dc-middlemean-chart");
var uppermeanChart = dc.numberDisplay("#dc-uppermean-chart");

var completionBellChart = null;

var lowerupperChart = dc.numberDisplay("#dc-lowerupper-chart");
var middlemiddleChart = dc.numberDisplay("#dc-middlemiddle-chart");
var upperlowerChart = dc.numberDisplay("#dc-upperlower-chart");


function prepareCharts(jobs, start, end, firstRun) {

  if (firstRun) //if its the first run expect everything to not exist, and draw it all
  {
    facts = crossfilter(jobs.Results)

    var all = facts.groupAll();
github NSWSESMembers / Lighthouse / pages / scripts / stats.js View on Github external
var dataTable = null;
var statusChart = null;
var agencyChart = null;
var eventChart = null;
var priorityChart = null;
var hazardChart = null;
var propertyChart = null;
var jobtypeChart = null;
var taskCountChart = null;
var localChart = null;
var unitChart = null;
var clusterChart = null;
var zoneChart = null;

var lowermeanChart = dc.numberDisplay("#dc-lowermean-chart");
var middlemeanChart = dc.numberDisplay("#dc-middlemean-chart");
var uppermeanChart = dc.numberDisplay("#dc-uppermean-chart");

var completionBellChart = null;

var lowerupperChart = dc.numberDisplay("#dc-lowerupper-chart");
var middlemiddleChart = dc.numberDisplay("#dc-middlemiddle-chart");
var upperlowerChart = dc.numberDisplay("#dc-upperlower-chart");


function prepareCharts(jobs, start, end, firstRun) {

  if (firstRun) //if its the first run expect everything to not exist, and draw it all
  {
    facts = crossfilter(jobs.Results)

    var all = facts.groupAll();
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; } );
github NSWSESMembers / Lighthouse / pages / scripts / stats.js View on Github external
var timeClosedChart = null;
var dataTable = null;
var statusChart = null;
var agencyChart = null;
var eventChart = null;
var priorityChart = null;
var hazardChart = null;
var propertyChart = null;
var jobtypeChart = null;
var taskCountChart = null;
var localChart = null;
var unitChart = null;
var clusterChart = null;
var zoneChart = null;

var lowermeanChart = dc.numberDisplay("#dc-lowermean-chart");
var middlemeanChart = dc.numberDisplay("#dc-middlemean-chart");
var uppermeanChart = dc.numberDisplay("#dc-uppermean-chart");

var completionBellChart = null;

var lowerupperChart = dc.numberDisplay("#dc-lowerupper-chart");
var middlemiddleChart = dc.numberDisplay("#dc-middlemiddle-chart");
var upperlowerChart = dc.numberDisplay("#dc-upperlower-chart");


function prepareCharts(jobs, start, end, firstRun) {

  if (firstRun) //if its the first run expect everything to not exist, and draw it all
  {
    facts = crossfilter(jobs.Results)

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

Package Health Score

53 / 100
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