Time Series

Simple Time Series based on code from d3noob and Scott Murray.

Block created by blockbuilder.

<!DOCTYPE html>
  <head>
    <meta charset="utf-8">
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
    <style>

body { font: 12px Arial;}

path { 
    stroke: steelblue;
    stroke-width: 1;
    fill: none;
}

.axis path,
.axis line {
    fill: none;
    stroke: grey;
    stroke-width: 2;
    shape-rendering: crispEdges;
}

.legend {
    font-size: 16px;
    font-weight: bold;
    text-anchor: middle;
}

</style>
<body>

<h1>Change in Searches for New York Yankees and Mets 2004-2015</h1>
  
  <p>Data sourced from Google Trends</p>
  
<script>

var margin = {top: 30, right: 20, bottom: 70, left: 50},
    width = 1100 - margin.left - margin.right,
    height = 700 - margin.top - margin.bottom;

var parseDate = d3.time.format("%m/%d/%Y").parse;

var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);

var xAxis = d3.svg.axis().scale(x)
    .orient("bottom").ticks(5);

var yAxis = d3.svg.axis().scale(y)
    .orient("left").ticks(5);

var dateline = d3.svg.line()	
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.val); });
    
		
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 + ")");

// Get the data
d3.csv("gtrends4.txt", function(error, data) {
    data.forEach(function(d) {
		d.date = parseDate(d.date);
		d.val = +d.val;
    });

// Scale the range of the data
    x.domain(d3.extent(data, function(d) { return d.date; })).nice();
    y.domain([0, d3.max(data, function(d) { return d.val; })]);

// Nest the entries by symbol
    var dataNest = d3.nest()
        .key(function(d) {return d.team;})
        .entries(data);

var color = d3.scale.category10();

legendSpace = width/dataNest.length; 
  
  
  
  // Loop through each team
    dataNest.forEach(function(d,i) {

svg.append("path")
            .attr("class", "line")
            .style("stroke", function() { 
                return d.color = color(d.key); })
            .attr("d", dateline(d.values))
          ;
      
  
      svg.append("text")
            .attr("x", (legendSpace/2)+i*legendSpace)  // space legend
            .attr("y", height + (margin.bottom/2)+ 5)
            .attr("class", "legend")    // style the legend
            .style("fill", function() { // Add the colours dynamically
                return d.color = color(d.key); })
            .text(d.key);

});

svg.append("g")
        .attr("class", "x axis")
        .attr("transform", "translate(0," + height + ")")
        .call(xAxis);

svg.append("g")
        .attr("class", "y axis")
        .call(yAxis);

});

</script>
</body>

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