PL Top 6 by Week

forked from ebendennis's block: LFC Seasons by Week

<!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.v1.min.js"></script>
  <style>
    body { 
      margin:0;
      position:fixed;
      top:0;
      right:0;
      bottom:0;
      left:0;
      font: 10px sans-serif;
      background-color: #7f7f7f;
    }
    
    .domain,
    .tick line {
      fill: none;
      stroke: #eee;
      shape-rendering: crispEdges;
    }
    
    .tick text {
      fill: #eee;
    }
    
    .dot {
      stroke-opacity: .25;
    }
    
    .tooltip {
      position: absolute;
      width: 45px;
      height: 24px;					
    	padding: 2px;
      background: white;
      pointer-events: none;
    }
  </style>
</head>

<body>
  <input type="checkbox" name="v" value="1" checked>1st
  <input type="checkbox" name="v" value="2" checked>2nd
  <input type="checkbox" name="v" value="3" checked>3rd
  <input type="checkbox" name="v" value="4" checked>4th
  <input type="checkbox" name="v" value="5" checked>5th
  <input type="checkbox" name="v" value="6" checked>6th
  <script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var x = d3.scaleLinear()
    .range([0, width]);

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

var color = d3.scaleSequential(d3.interpolateMagma).domain([6,1]);
    
// Define the div for the tooltip
var div = d3.select("body").append("div")	
    .attr("class", "tooltip")				
    .style("opacity", 0);

var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
  
  //Container for the gradients
    var defs = svg.append("defs");

//Filter for the outside glow
    var filter = defs.append("filter")
      .attr("id","glow");
    filter.append("feGaussianBlur")
      .attr("stdDeviation","5")
      .attr("result","coloredBlur");
    var feMerge = filter.append("feMerge");
    feMerge.append("feMergeNode")
      .attr("in","coloredBlur");
    feMerge.append("feMergeNode")
      .attr("in","SourceGraphic");

// Call csv and add points
d3.csv("top6Data.csv", function(error, data) {
  if (error) throw error;

data.forEach(function(d) {
    d.week = +d.week;
    d.points = +d.points;
  });

x.domain([1,38]);
  y.domain(d3.extent(data, function(d) { return d.points; })).nice();    
  
   var nestData = d3.nest()
      .key(function(d) { return d.position; })
      .key(function(d) { return +d.week; })
      .rollup(function(values) { return {
        avg: d3.mean(values, function(d) {return +d.points; }),
        avgWeek: d3.mean(values, function(d) {return +d.week; })
      	}; 
      })
      .entries(data);

//Draw line

var subjectPath = d3.line()
               .x(function(d) {
                 return x(d.value.avgWeek);
                 })
               .y(function(d) {
                 return y(d.value.avg);
                 })

svg.selectAll(".subject-group")
               .data(nestData)
               .enter().append('g')
               .attr('class', 'subject-group')
               .append('path')
             	 .style("stroke", function(d) { return color(d.key); })
             	 .style("stroke-opacity", .5)
  						 .style("fill", "none")
               // Pass the second level of the nested array to subjectPath to generate x/y co-ords
               .attr("d",function(d) {return subjectPath(d.values);});

svg.selectAll(".dot")
      .data(data)
    .enter().append("circle")
      .attr("class", "dot")
      .attr("r", 3.5)
      .attr("cx", function(d) { return x(d.week); })
      .attr("cy", function(d) { return y(d.points); })
  		.style("fill", function(d) { return color(d.position); })
  		.style("stroke", function(d) { return color(d.position); })
      .style("fill-opacity", function(d) {if (d.season == "16-17") {return 1;} else {return 0;}; })
  		.on("mouseover", function(d) {
          div.transition()
               .duration(200)
               .style("opacity", .9);
          div.html("Position " + d.position + "<br/>" + d.season + ": " + d.points)
               .style("left", (d3.event.pageX + 10) + "px")
               .style("top", (d3.event.pageY - 10) + "px");
      })
      .on("mouseout", function(d) {
          div.transition()
               .duration(500)
               .style("opacity", 0);
      });
  
      // Add the X Axis
  		svg.append("g")
              .attr("transform", "translate(0," + height + ")")
              .call(d3.axisBottom(x))
      			.append("text")
              .attr("class", "label")
              .attr("x", width)
              .attr("y", -6)
              .style("text-anchor", "end")
              .text("Week");
  
  		// Add the Y Axis
          svg.append("g")
              .call(d3.axisLeft(y))
            .append("text")
              .attr("class", "label")
              .attr("transform", "rotate(-90)")
              .attr("y", 3)
              .attr("dy", ".71em")
              .style("text-anchor", "end")
              .text("Points");
    
    d3.selectAll(".subject-group")
			.style("filter", "url(#glow)");

</script>
</body>

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

https://d3js.org/d3-scale-chromatic.v1.min.js