Multi-line graph 4 with v4: Toggle

This is a derivative of the simple d3.js graph in v4 used as an example in the book D3 Tips and Tricks v4. The stock data was sourced from Mike Bostock's small multiples example.

It is the fourth graph in a series that is building a multi-line graph that incorperates an automatically developed legend and a system that can toggle the lines off and on as desired.

This version is demonstrating the ability to toggle the lines off and on by clicking on the appropriate legend text.

The graph should be taken in context with the text of the book which can be downloaded for free from Leanpub.

<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */

body { font: 12px Arial;}

path { 
    stroke: steelblue;
    stroke-width: 2;
    fill: none;
}

.axis path,
.axis line {
    fill: none;
    stroke: grey;
    stroke-width: 1;
    shape-rendering: crispEdges;
}

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

</style>
<body>

<script src="https://d3js.org/d3.v4.min.js"></script>

// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 70, left: 50},
    width = 600 - margin.left - margin.right,
    height = 300 - margin.top - margin.bottom;

// Parse the date / time
var parseDate = d3.timeParse("%b %Y");

// Set the ranges
var x = d3.scaleTime().range([0, width]);  
var y = d3.scaleLinear().range([height, 0]);

// Define the line
var priceline = d3.line()	
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.price); });
    
// Adds the svg canvas
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("stocks.csv", function(error, data) {
    data.forEach(function(d) {
		d.date = parseDate(d.date);
		d.price = +d.price;
    });

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

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

// set the colour scale
    var color = d3.scaleOrdinal(d3.schemeCategory10);

legendSpace = width/dataNest.length; // spacing for the legend

// Loop through each symbol / key
    dataNest.forEach(function(d,i) {

svg.append("path")
            .attr("class", "line")
            .style("stroke", function() { // Add the colours dynamically
                return d.color = color(d.key); })
            .attr("id", 'tag'+d.key.replace(/\s+/g, '')) // assign an ID
            .attr("d", priceline(d.values));

// Add the Legend
        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); })
            .on("click", function(){
                // Determine if current line is visible 
                var active   = d.active ? false : true,
                newOpacity = active ? 0 : 1; 
                // Hide or show the elements based on the ID
                d3.select("#tag"+d.key.replace(/\s+/g, ''))
                    .transition().duration(100) 
                    .style("opacity", newOpacity); 
                // Update whether or not the elements are active
                d.active = active;
                })  
            .text(d.key);

});

// Add the X Axis
  svg.append("g")
      .attr("class", "axis")
      .attr("transform", "translate(0," + height + ")")
      .call(d3.axisBottom(x));

// Add the Y Axis
  svg.append("g")
      .attr("class", "axis")
      .call(d3.axisLeft(y));

});

</script>
</body>

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