DC.js - Dashboard Working Example | Adglob Infosystem Pvt Ltd

In this DC.js Dashboard Working Example chapter, we will develop a dashboard in DC by clicking and selecting a chart.

Working Example

Now, we have the background and can start to write some code. It contains the following steps of Dc.js Dashboard Working Example −

Step 1: Add styles

Let us add styles in the CSS using the coding given below.

<style>
   .dc-chart { font-size: 12px; }
   .dc-grid-top { padding-left: 10px; font-size: 14px; font-weight: bold; }
   .dc-grid-item { padding-left: 10px; font-size: 12px; font-weight: normal; }
</style>

Here, we have assigned styles for the chart, grid-top and the grid-item.

Step 2: Create a variable

Let us create a variable in DC as shown below.

var barChart = dc.barChart('#line');
var pieChart = dc.pieChart('#pie'); 
var countChart = dc.dataCount("#mystats");
var gridChart = dc.dataGrid("#mygrid");

Here, we have assigned a barChart variable id in line, countChart id is mystats, pieChart is pie and gridChart id is mygrid.

Step 3: Read the data

Read the data from the people.csv file as shown below.

d3.csv("data/people.csv", function(errors, people) {
   var mycrossfilter = crossfilter(people);
}

If the data is not present, then it returns an error. Now, assign the data to a crossfilter. Here, we have used the same people.csv file, which we have used in our previous charting examples. It looks as shown below.

id,name,gender,DOB,MaritalStatus,CreditCardType
1,Damaris,Female,1973-02-18,false,visa-electron
2,Barbe,Female,1969-04-10,true,americanexpress
3,Belia,Female,1960-04-16,false,maestro
4,Leoline,Female,1995-01-19,true,bankcard
5,Valentine,Female,1992-04-16,false,
6,Rosanne,Female,1985-01-05,true,bankcard
7,Shalna,Female,1956-11-01,false,jcb
8,Mordy,Male,1990-03-27,true,china-unionpay

.........................................
.........................................

Step 4: Set the dimension for age

You can set the dimension using the coding below.

var ageDimension = mycrossfilter.dimension(function(data) { 
   return ~~((Date.now() - new Date(data.DOB)) / (31557600000)) 
});

After the dimension has been assigned, group the age using the coding given below.

var ageGroup = ageDimension.group().reduceCount();

Step 5: Set the dimension for gender

You can set the dimension using the coding below.

// gender dimension
var genderDimension = mycrossfilter.dimension(function(data) { return data.gender; });
var genderGroup = genderDimension.group().reduceCount();

Step 6: Generate a bar chart

Now, generate a bar chart using the coding below.

barChart
   .width(400)
   .height(200)
   .x(d3.scale.linear().domain([15,70]))
   .yAxisLabel("Count")
   .xAxisLabel("Age")
   .elasticY(true)
   .elasticX(true)
   .dimension(ageDimension)
   .group(ageGroup);

Here,

We have assigned the chart width as 400 and height as 200.
Next, we have specified the domain range as [15, 70].
We have set the x-axis label as age and the y-axis label as count.
We have specified the elasticY and X function as true.

Step 7: Generate a pie chart

Now, generate a pie chart using the coding below.

pieChart
   .width(200)
   .height(100)
   .dimension(genderDimension)
   .group(genderGroup);

Here,

We have assigned the chart width as 200 and height as 100.
Now, group the dimension by gender.

Step 8: Create the grid and count chart

Now, create the grid and count the chart using the coding given below.

countChart
   .dimension(mycrossfilter)
   .group(mycrossfilter.groupAll());

gridChart
   .dimension(ageDimension)
   .group(function (data) {
      return ~~((Date.now() - new Date(data.DOB)) / (31557600000));
   })

Step 9: Render the grid and count

Now, render the grid and count using the coding below.

.size(100)
   .htmlGroup (function(d) { 
      return 'Age: ' + d.key +
      '; Count: ' + d.values.length +
      ' people'
   })
   .html (function(d) { return d.name; })
   .sortBy(function (d) {
      return d.name;
   })
   .order(d3.ascending);

barChart.render();
pieChart.render();
countChart.render();
gridChart.render();

Here, we have sorted the name by using the html() function and have finally rendered the chart.

Step 10: Working example

The complete code is as follows. Create a webpage dashboard.html and add the following changes to it.

<html>
   <head>
      <title>DC dashboard sample</title>
      <link rel = "stylesheet" type = "text/css" href = "css/bootstrap.css">
      <link rel = "stylesheet" type = "text/css" href = "css/dc.css"/>
      
      <style>
         .dc-chart { font-size: 12px; }
         .dc-grid-top { padding-left: 10px; font-size: 14px; font-weight: bold; }
         .dc-grid-item { padding-left: 10px; font-size: 12px; font-weight: normal; }
      </style>

      <script src = "js/d3.js"></script>
      <script src = "js/crossfilter.js"></script>
      <script src = "js/dc.js"></script>
   </head>
   
   <body>
      <div>
         <div style = "width: 600px;">
            <div id = "mystats" class = "dc-data-count" style = "float: right">
               <span class = "filter-count"></span> selected out of <span
                  class = "total-count"></span> | <a href = "javascript:dc.filterAll();
                  dc.renderAll();">Reset All</a>
            </div>
         </div>

         <div style = "clear: both; padding-top: 20px;">
            <div>
               <div id = "line"></div>
               <div id = "pie"></div>
            </div>
         </div>

         <div style = "clear: both">
            <div class = "dc-data-grid" id = "mygrid"></div>
         </div>
      </div>

      <script language = "javascript">
         var barChart = dc.barChart('#line'); // , 'myChartGroup');
         var pieChart = dc.pieChart('#pie'); //, 'myChartGroup');
         var countChart = dc.dataCount("#mystats");
         var gridChart = dc.dataGrid("#mygrid");

         d3.csv("data/people.csv", function(errors, people) {
            var mycrossfilter = crossfilter(people);

            // age dimension
            var ageDimension = mycrossfilter.dimension(function(data) { 
               return ~~((Date.now() - new Date(data.DOB)) / (31557600000)) 
            });
            var ageGroup = ageDimension.group().reduceCount();

            // gender dimension
            var genderDimension = mycrossfilter.dimension(function(data) { 
               return data.gender; 
            });
            var genderGroup = genderDimension.group().reduceCount();

         barChart
            .width(400)
            .height(200)
            .x(d3.scale.linear().domain([15,70]))
            .yAxisLabel("Count")
            .xAxisLabel("Age")
            .elasticY(true)
            .elasticX(true)
            .dimension(ageDimension)
            .group(ageGroup);

         pieChart
            .width(200)
            .height(100)
            .dimension(genderDimension)
            .group(genderGroup);

         countChart
            .dimension(mycrossfilter)
            .group(mycrossfilter.groupAll());

         gridChart
            .dimension(ageDimension)
            .group(function (data) {
               return ~~((Date.now() - new Date(data.DOB)) / (31557600000));
            })
            .size(100)
            .htmlGroup (function(d) { 
               return 'Age: ' + d.key +
               '; Count: ' + d.values.length +
               ' people'
            })
            .html (function(d) { return d.name; })
            .sortBy(function (d) {
               return d.name;
            })
            .order(d3.ascending);

         barChart.render();
         pieChart.render();
         countChart.render();
         gridChart.render();
      });
      </script>
   </body>
</html>

Now, request the browser and we will see the following response.

You can check yourself by clicking bar, pie charts and see how the data changes.

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