typescript-closure-tools/lib/definitely-typed/dcjs/dc-tests.ts

Command-line tools to convert closure-style JSDoc annotations to typescript, and to convert typescript sources to closure externs files

///<reference path="../d3/d3.d.ts" />
///<reference path="../crossfilter/crossfilter.d.ts" />
///<reference path="dc.d.ts" />

interface IYelpData {
  city: string;
  review_count: number;
  name: string;
  neighborhoods: string[];
  type: string;
  business_id: string;
  full_address: string;
  state: string;
  longitude: number;
  stars: number;
  latitude: number;
  open: boolean;
  categories: string[]
}

interface IYelpDataExtended {
  count: number;
  review_sum: number;
  star_sum: number;
  review_avg: number;
  star_avg: number;
}


/********************************************************
*														*
* 	dj.js example using Yelp Kaggle Test Dataset		*
* 	Eamonn O'Loughlin 9th May 2013 						*
*														*
********************************************************/

/********************************************************
*														*
* 	Step0: Load data from json file						*
*														*
********************************************************/
d3.json("data/yelp_test_set_business.json", function (yelp_data:IYelpData[]) {
  
/********************************************************
*                           *
*   Step1: Create the dc.js chart objects & ling to div *
*                           *
********************************************************/
var bubbleChart = dc.bubbleChart("#dc-bubble-graph");
var pieChart = dc.pieChart("#dc-pie-graph");
var volumeChart = dc.barChart("#dc-volume-chart");
var lineChart = dc.lineChart("#dc-line-chart");
var dataTable = dc.dataTable("#dc-table-graph");
var rowChart = dc.rowChart("#dc-row-graph");

/********************************************************
*                           *
*   Step2:  Run data through crossfilter        *
*                           *
********************************************************/
var ndx = crossfilter(yelp_data);
  
/********************************************************
*                           *
*   Step3:  Create Dimension that we'll need      *
*                           *
********************************************************/

  // for volumechart
  var cityDimension = ndx.dimension(function (d) { return d.city; });
  var cityGroup = cityDimension.group();
  var cityDimensionGroup = cityDimension.group().reduce(
    //add
    function(p: IYelpDataExtended,v:IYelpData){
      ++p.count;
      p.review_sum += v.review_count;
      p.star_sum += v.stars;
      p.review_avg = p.review_sum / p.count;
      p.star_avg = p.star_sum / p.count;
      return p;
    },
    //remove
    function(p: IYelpDataExtended,v:IYelpData){
      --p.count;
      p.review_sum -= v.review_count;
      p.star_sum -= v.stars;
      p.review_avg = p.review_sum / p.count;
      p.star_avg = p.star_sum / p.count;
      return p;
    },
    //init
    function(){
      return {count:0, review_sum: 0, star_sum: 0, review_avg: 0, star_avg: 0};
    }
  );

  // for pieChart
    var startValue = ndx.dimension(function (d) {
    return d.stars*1.0;
    });
    var startValueGroup = startValue.group();

  // For datatable
  var businessDimension = ndx.dimension(function (d) { return d.business_id; });
/********************************************************
*                           *
*   Step4: Create the Visualisations          *
*                           *
********************************************************/
  
 bubbleChart.width(650)
      .height(300)
      .dimension(cityDimension)
      .group(cityDimensionGroup)
      .transitionDuration(1500)
      .colors(["#a60000","#ff0000", "#ff4040","#ff7373","#67e667","#39e639","#00cc00"])
      .colorDomain([-12000, 12000])
    
      .x(d3.scale.linear().domain([0, 5.5]))
      .y(d3.scale.linear().domain([0, 5.5]))
      .r(d3.scale.linear().domain([0, 2500]))
      .keyAccessor(function (p) {
        return p.value.star_avg;
      })
      .valueAccessor(function (p) {
        return p.value.review_avg;
      })
      .radiusValueAccessor(function (p) {
        return p.value.count;
      })
      .transitionDuration(1500)
      .elasticY(true)
      .yAxisPadding(1)
      .xAxisPadding(1)
      .label(function (p) {
        return p.key;
        })
      .renderLabel(true)
      .renderlet(function (chart) {
            rowChart.filter(chart.filter());
        })
        .on("postRedraw", function (chart) {
            dc.events.trigger(function () {
                rowChart.filter(chart.filter());
            });
                  });
        ;


pieChart.width(200)
    .height(200)
    .transitionDuration(1500)
    .dimension(startValue)
    .group(startValueGroup)
    .radius(90)
    .minAngleForLabel(0)
    .label(function(d) { return d.data.key; })
    .on("filtered", function (chart) {
      dc.events.trigger(function () {
        if(chart.filter()) {
          console.log(chart.filter());
          volumeChart.filter([chart.filter()-.25,chart.filter()-(-0.25)]);
          }
        else volumeChart.filterAll();
      });
    });

volumeChart.width(230)
            .height(200)
            .dimension(startValue)
            .group(startValueGroup)
      .transitionDuration(1500)
            .centerBar(true)  
      .gap(17)
            .x(d3.scale.linear().domain([0.5, 5.5]))
      .elasticY(true)
      .on("filtered", function (chart) {
        dc.events.trigger(function () {
          if(chart.filter()) {
            console.log(chart.filter());
            lineChart.filter(chart.filter());
            }
          else
          {lineChart.filterAll()}
        });
      })
      .xAxis().tickFormat(function(v) {return v;}); 

console.log(startValueGroup.top(1)[0].value);

lineChart.width(230)
    .height(200)
    .dimension(startValue)
    .group(startValueGroup)
    .x(d3.scale.linear().domain([0.5, 5.5]))
    .valueAccessor(function(d) {
      return d.value;
      })
      .renderHorizontalGridLines(true)
      .elasticY(true)
      .xAxis().tickFormat(function(v) {return v;}); ;

rowChart.width(340)
      .height(850)
      .dimension(cityDimension)
      .group(cityGroup)
      .renderLabel(true)
      .colors(["#a60000","#ff0000", "#ff4040","#ff7373","#67e667","#39e639","#00cc00"])
      .colorDomain([0, 0])
        .renderlet(function (chart) {
            bubbleChart.filter(chart.filter());
        })
        .on("filtered", function (chart) {
            dc.events.trigger(function () {
                bubbleChart.filter(chart.filter());
            });
                  });


dataTable.width(800).height(800)
  .dimension(businessDimension)
  .group(function(d:Object) { return "List of all Selected Businesses"
   })
  .size(100)
    .columns([
        function(d) { return d.name; },
        function(d) { return d.city; },
        function(d) { return d.stars; },
        function(d) { return d.review_count; },
    function(d) { return '<a href=\"http://maps.google.com/maps?z=12&t=m&q=loc:' + d.latitude + '+' + d.longitude +"\" target=\"_blank\">Map</a>"}
    ])
    .sortBy(function(d){ return d.stars; })
    // (optional) sort order, :default ascending
    .order(d3.ascending);
/********************************************************
*                           *
*   Step6:  Render the Charts             *
*                           *
********************************************************/
      
  dc.renderAll();
});