Ch. 9, Early Dashboard 1 - D3.js in Action

This is an example from D3.js in Action that begins the process of building a data dashboard by drawing a circle pack diagram and bar chart from the same dataset and presenting them in two separate SVGs.

<html>
<head>
  <title>D3 in Action Chapter 9 - Example 1</title>
  <meta charset="utf-8" />
<script src="https://d3js.org/colorbrewer.v1.min.js" type="text/JavaScript"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
</head>
<style>
body,html {
width: 100%;
height: 100%; #a
}
.svgDash {
width: 50%;
height: 50%;
background: #fcfcfc;
}

#leftSVG {
 float:left; 
}

#spreadsheet {
width: 100%;
height: 50%;
overflow:auto;
background: #fcfcfc;
}

circle.pack {
stroke: black;
stroke-width: 2px;
}

rect.bar {
fill: gray;
stroke: black;
stroke-width: 1px;
}

</style>
<body>
  <svg id="leftSVG" class="svgDash"></svg>
<svg id="rightSVG"  class="svgDash"></svg>
<div id="spreadsheet"></div>
</body>
  <footer>
    
<script>
  
  window.onresize = function(event) {
      redraw();
  }
  
  d3.json("tweets.json",function(error,data) {main(data.tweets)});

//  d3.selectAll("svg").append("rect").attr("width", 100).attr("height", 100);

function main(incData) {
  createSpreadsheet(incData, "#controls");
    
  var nestedTweets = d3.nest()
    .key(function (el) {return el.user})
    .entries(incData);

packableTweets = {id: "root", values: nestedTweets}

createBar(nestedTweets, "#rightSVG");
    createPack(packableTweets, "#leftSVG");
    redraw();
  }
  
  function canvasSize(targetElement) {
    var newHeight = parseFloat(d3.select(targetElement).node().clientHeight);
    var newWidth = parseFloat(d3.select(targetElement).node().clientWidth);
    return [newWidth,newHeight];
  }
  
  function redraw() {
      var leftSize = canvasSize("#leftSVG");
      packChart.size(leftSize)

d3.select("#leftSVG")
      .selectAll("circle")
      .data(packChart(packableTweets))
      .attr("r", function(d) {return d.r - (d.depth * 0)})
      .attr("cx", function(d) {return d.x})
      .attr("cy", function(d) {return d.y})
      .style("stroke", "black")
      .style("stroke", "2px")
      
      var rectNumber = d3.select("#rightSVG").selectAll("rect").size();
      var rectData = d3.select("#rightSVG").selectAll("rect").data();
      var rectMax = d3.max(rectData, function(d) {return d.values.length});
      
      var rightSize = canvasSize("#rightSVG");

barXScale = d3.scale.ordinal().domain(rectData.map(function(d){return d.key})).rangeBands([0, rightSize[0]]);

barYScale = d3.scale.linear()
      .domain([0, rectMax])
      .range([rightSize[1],0])
      
      d3.select("#rightSVG")
      .selectAll("rect")
      .attr("x", function(d,i) {return barXScale(d.key) + 5})
      .attr("width", function() {return barXScale.rangeBand() - 5})
      .attr("y", function(d) {return barYScale(d.values.length)})
      .attr("height", function(d) {return rightSize[1] - barYScale(d.values.length)})
  }
  
  function createBar(incData,targetSVG) {
      
      d3.select(targetSVG).selectAll("rect").data(incData)
      .enter()
      .append("rect")
      .attr("fill", "darkred")
      }
  
  function createPack(incData,targetSVG) {

var depthScale = d3.scale.quantize().domain([0,1,2]).range(colorbrewer.Reds[3]);

packChart = d3.layout.pack();
      packChart.size([500,500])
      .children(function(d) {return d.values})
      .value(function(d) {return 1})

d3.select(targetSVG)
      .append("g")
      .attr("transform", "translate(0,0)")
      .selectAll("circle")
      .data(packChart(incData))
      .enter()
      .append("circle")
      .style("fill", function(d) {return depthScale(d.depth)});
    }
      function createSpreadsheet(incData, targetDiv) {
        
        var keyValues = d3.keys(incData[0])
        
        d3.select(targetDiv)
        .append("div")
        .attr("class", "table")

d3.select("div.table")
        .append("div")
        .attr("class", "head row")
        .selectAll("div.data")
        .data(keyValues)
        .enter()
        .append("div")
        .attr("class", "data")
        .html(function (d) {return d})
        .style("left", function(d,i) {return (i * 100) + "px"});

d3.select("div.table")
        .selectAll("div.datarow")
        .data(incData, function(d) {return d.content}).enter()
        .append("div")
        .attr("class", "datarow row")
        .style("top", function(d,i) {return (40 + (i * 40)) + "px"});
        
        d3.selectAll("div.datarow")
        .selectAll("div.data")
        .data(function(d) {return d3.entries(d)})
        .enter()
        .append("div")
        .attr("class", "data")
        .html(function (d) {return d.value})
        .style("left", function(d,i,j) {return (i * 100) + "px"});

function restoreRows() {
          d3.selectAll("div.datarow")
            .transition()
            .duration(2000)
            .style("top", function(d,i) {return (40 + (i * 40)) + "px"});
        }
        function sortColumns() {
          d3.selectAll("div.row")
          .selectAll("div.data")
            .transition()
            .duration(10000)
        .style("left", function(d,i,j) {return (Math.abs(i - 4) * 100) + "px"});
        }

function restoreColumns() {
          d3.selectAll("div.row")
          .selectAll("div.data")
            .transition()
            .duration(2000)
        .style("left", function(d,i,j) {return (i * 100) + "px"});
        }

</html>

https://d3js.org/colorbrewer.v1.min.js

https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js