NFL Score Matrix

<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <script src="https://d3js.org/d3-scale-chromatic.v0.3.min.js"></script>
  <style>
    body { 
    background:rgb(0,20,40);  
		margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
  </style>
</head>

<body>
  <script>
    
    d3.csv("https://raw.githubusercontent.com/fivethirtyeight/nfl-elo-game/master/data/nfl_games.csv",function(d){
      console.log(d);
      console.log(parseCSV(d));
      renderMatrixChart(parseCSV(d))
    })
	
    
    function parseCSV(data){
      data.forEach(function(d){
        d.score1 = +d.score1;
        d.score2 = +d.score2;
        d.season = +d.season;
 				d.playoff = +d.playoff;
      })
      return data;
    }
    
    var width = 400;
    var height = 400;
    
    
    var svg = d3.select("body").append("svg")
      .attr("width", width)
      .attr("height", height)
    	.style("outline","1px solid white")
		
    function renderMatrixChart(data){
      
      var nested = d3.nest().key(function(d){return d.score1 + "-" + d.score2;})
      	.entries(data);
      
      var scaleBandX = d3.scaleBand()
      	.range([0,width])
      	.domain(d3.range(60));
      
      var scaleBandY = d3.scaleBand()
      	.range([0,height])
      	.domain(d3.range(60));
      
      
      var scaleBandXLinear = d3.scaleLinear()
      	.range([0,width])
      	.domain([0,60]);
      
      var scaleBandYLinear = d3.scaleLinear()
      	.range([0,height])
      	.domain([0,60]);
      
	    var colorScale = d3.scaleSequential(d3.interpolateYlOrRd)
        .domain([1,60])
      	.clamp(true);
            
      var rects = svg.selectAll("rect").data(nested);
      
      rects.enter()
      	.append("rect")
      	.attr("fill",function(d){
        return colorScale(d.values.length);})
      	.style("stroke-width",.5)
      	.style("stroke","white")
      	.attr("width",scaleBandX.bandwidth())
      	.attr("height",scaleBandY.bandwidth())
      	.attr("x",function(d){return scaleBandX(d.values[0].score1);})
      	.attr("y",function(d){return scaleBandY(d.values[0].score2);})
      	.style("opacity",function(d){
        	if(d.values.length <= 10){return .15}
        	else{return 1}
      })
      
      var lines = svg.selectAll(".liney").data(d3.range(10).map(function(d){
        	return (d) * 7 + 0
      }))
      
      lines.enter()
      	.append("line")      
        .attr("class","liney")
      	.attr("x1",function(d){return scaleBandXLinear(d);})
      	.attr("x2",function(d){return scaleBandXLinear(d);})
      	.attr("y1",0)
      	.attr("y2",height)        
        .style("stroke","white")

var linesX = svg.selectAll(".linex").data(d3.range(10).map(function(d){
        	return (d) * 7 + 0
      }))
      
      linesX.enter()
      	.append("line")
      	.attr("class","linex")
      	.attr("y1",function(d){return scaleBandYLinear(d);})
      	.attr("y2",function(d){return scaleBandYLinear(d);})
      	.attr("x1",0)
      	.attr("x2",width)      	
        .style("stroke","white")

}

</script>
</body>

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