D3 Examples - D3 v5 Line Chart

D3 v5 Line Chart

D3 v4 Line Chart Example

This is a example for basic line chart using D3. We are using the newest version of D3, version 4. As for all visualizations, we can break down this work into a checklist.

Line Chart Checklist

Add an SVG to draw our line chart on

Use the D3 standard margin convetion

Create an x axis

Create a y axis

Create an x scale

Create a y scale

Create a line generator

Create a random dataset

Create a path object for the line

Bind the data to the path object

Call the line generator on the data-bound path object

Add circles to show each datapoint

Add some basic styling to the chart so its easier on the eyes

Read through the code below to see where each part of the checklist is completed.

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<!DOCTYPE html>
<meta charset="utf-8">
​
<style type="text/css">
/* 13. Basic Styling with CSS */
​
/* Style the lines by removing the fill and applying a stroke */
.line {
    fill: none;
    stroke: #ffab00;
    stroke-width: 3;
}
  
.overlay {
  fill: none;
  pointer-events: all;
}
​
/* Style the dots by assigning a fill and stroke */
.dot {
    fill: #ffab00;
    stroke: #fff;
}
  
  .focus circle {
  fill: none;
  stroke: steelblue;
}
​
</style>
<!-- Body tag is where we will append our SVG and SVG objects-->
<body>
</body>
​
<!-- Load in the d3 library -->
<script src="https://d3js.org/d3.v5.min.js"></script>
<script>
​
// 2. Use the margin convention practice 
var margin = {top: 50, right: 50, bottom: 50, left: 50}
  , width = window.innerWidth - margin.left - margin.right // Use the window's width 
  , height = window.innerHeight - margin.top - margin.bottom; // Use the window's height
​
// The number of datapoints
var n = 21;
​
// 5. X scale will use the index of our data
var xScale = d3.scaleLinear()
    .domain([0, n-1]) // input
    .range([0, width]); // output
​
// 6. Y scale will use the randomly generate number 
var yScale = d3.scaleLinear()
    .domain([0, 1]) // input 
    .range([height, 0]); // output 
​
// 7. d3's line generator
var line = d3.line()
    .x(function(d, i) { return xScale(i); }) // set the x values for the line generator
    .y(function(d) { return yScale(d.y); }) // set the y values for the line generator 
    .curve(d3.curveMonotoneX) // apply smoothing to the line
​
// 8. An array of objects of length N. Each object has key -> value pair, the key being "y" and the value is a random number
var dataset = d3.range(n).map(function(d) { return {"y": d3.randomUniform(1)() } })
​
// 1. Add the SVG to the page and employ #2
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 + ")");
​
// 3. Call the x axis in a group tag
svg.append("g")
    .attr("class", "x axis")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(xScale)); // Create an axis component with d3.axisBottom
​
// 4. Call the y axis in a group tag
svg.append("g")
    .attr("class", "y axis")
    .call(d3.axisLeft(yScale)); // Create an axis component with d3.axisLeft
​
// 9. Append the path, bind the data, and call the line generator 
svg.append("path")
    .datum(dataset) // 10. Binds data to the line 
    .attr("class", "line") // Assign a class for styling 
    .attr("d", line); // 11. Calls the line generator 
​
// 12. Appends a circle for each datapoint 
svg.selectAll(".dot")
    .data(dataset)
  .enter().append("circle") // Uses the enter().append() method
    .attr("class", "dot") // Assign a class for styling
    .attr("cx", function(d, i) { return xScale(i) })
    .attr("cy", function(d) { return yScale(d.y) })
    .attr("r", 5)
      .on("mouseover", function(a, b, c) { 
            console.log(a) 
        this.attr('class', 'focus')
        })
      .on("mouseout", function() {  })
//       .on("mousemove", mousemove);
​
//   var focus = svg.append("g")
//       .attr("class", "focus")
//       .style("display", "none");
​
//   focus.append("circle")
//       .attr("r", 4.5);
​
//   focus.append("text")
//       .attr("x", 9)
//       .attr("dy", ".35em");
​
//   svg.append("rect")
//       .attr("class", "overlay")
//       .attr("width", width)
//       .attr("height", height)
//       .on("mouseover", function() { focus.style("display", null); })
//       .on("mouseout", function() { focus.style("display", "none"); })
//       .on("mousemove", mousemove);
  
//   function mousemove() {
//     var x0 = x.invert(d3.mouse(this)[0]),
//         i = bisectDate(data, x0, 1),
//         d0 = data[i - 1],
//         d1 = data[i],
//         d = x0 - d0.date > d1.date - x0 ? d1 : d0;
//     focus.attr("transform", "translate(" + x(d.date) + "," + y(d.close) + ")");
//     focus.select("text").text(d);
//   }
</script>
​
​
    