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ptvans

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d3.js nest example

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forked from anonymous's block: fresh block

<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <style>
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
    .categories {
  		height: 10;
  		width: 20;
      x: 10;
      y: 10;
		}
  </style>
  
</head>

<body>
  <script>
    var width = 900;
    var height = 650;
    
    var x = d3.scaleBand()
    	.rangeRound([0, width])
    	.padding(0.1)
    	.align(0.1);

var y = d3.scaleLinear()
    	.rangeRound([height, 0]);

var z = d3.scaleOrdinal()
      .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
    
    var transactions = [
  		{amount: 2700.00, vendor: "check", date: "3/01/2016", category: "rent"},
  		{amount: 48.87, vendor: "oreillys autoparts", date: "3/21/2016", category: "auto parts"},
  		{amount: 68.43, vendor: "Van Kleef", date: "4/04/2016", category: "bars"},
      {amount: 22.43, vendor: "pub", date: "4/04/2016", category: "bars"},
      {amount: 18.87, vendor: "oreillys autoparts", date: "5/21/2016", category: "auto parts"}
		];
    
    //assign months
    var parseDate = d3.timeParse("%m/%d/%Y");
		var formatMonth = d3.timeFormat("%m-%y");
    
    transactions.forEach(function(d) {
      d.date = +parseDate(d.date);
      var month = formatMonth(d.date);
      d.month = month;
    });
    
    //group by month and then category	
    var byCategory = d3.nest()
      .key(function(d) { return d.month; })
      .key(function(d) { return d.category; })
      .entries(transactions);
    
    //console.log(transactions);
    //console.log(byCategory);
    
    //create a rollup total for each category
    var sumCategory = d3.nest()
			.key(function(d) { return d.month; })
    	.key(function(d) { return d.category; })
    	.rollup(function(leaves) { 
        return {
          "total": d3.sum(leaves, function(d) { return parseFloat(d.amount); })
        } 
      })
    	.entries(transactions);
    
    console.log(sumCategory);
    
    // Set the domains
    x.domain([d3.min(sumCategory, function(d) { return d.month; }),d3.max(sumCategory, function(d) { return d.month; })]);
  //x domain map to month
  y.domain([0, d3.max(sumCategory, function(d) { return d.amount; })]).nice();
  //y domain needs to map to amount by month
  z.domain(function(d) { return d.category; });
	//z domain needs to map to categories
        
    var svg = d3.select("body").append("svg")
      .attr("width", width)
      .attr("height", height);
    
    g = svg.append("g");
    
    g.selectAll(".categories")
    	.data(byCategory)
    	.enter().append("rect")
      	.attr("class", "categories")
      	.attr("fill", function(d) { return z(d.key); })
    		.attr("x", 6)
    		.attr("y", 20)
    		.attr("height", 20)
    		.attr("width", 40)
    	
    g.selectAll("rect")
    	.data(byCategory)
      .enter().append("rect")
    		.attr("fill", function(d) { return z(d.key); })
        .attr("x", function(d) { return x(d.month); })
        .attr("y", function(d) { return y(d[1]); })
        .attr("height", function(d) { return y(d[0]) - y(d[1]); })
        .attr("width", x.bandwidth());
    
    
     var testMap = d3.values(sumCategory).map(function(d) { return d.key; })
    console.log(testMap);
    
    g.selectAll(".bars")
    	.data(sumCategory)
    	.enter().append("rect")
      	.attr("class", "bars")
    		.attr("x", function(d) { return y(d); })
    		.attr("y", function(d) { return y(d.key); })
    		.attr("height", 20)
    		.attr("width", x.bandwidth())
    		.attr("fill", "red")

</script>
</body>

https://d3js.org/d3.v4.min.js