Simple graph and table using d3.js

This is a follow on from the simple d3.js graph used as an example in the book D3 Tips and Tricks.

It demonstrates the generation of an html table containing graphed data using d3.js. It 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;
}

td, th {
    padding: 1px 4px;
}

</style>
<body>

<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>

// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 30, left: 50},
    width = 600 - margin.left - margin.right,
    height = 270 - margin.top - margin.bottom;

// Parse the date / time
var parseDate = d3.time.format("%d-%b-%y").parse;

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

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

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

// Define the line
var valueline = d3.svg.line()
	.x(function(d) { return x(d.date1); })    //  <= Change to date1
    .y(function(d) { return y(d.close); });
    
// 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("data.csv", function(error, data) {
    data.forEach(function(d) {
		d.date1 = parseDate(d.date);    //  <= Change to date1
        d.close = +d.close;
    });

// Scale the range of the data
	x.domain(d3.extent(data, function(d) { return d.date1; }));//<=date1
    y.domain([0, d3.max(data, function(d) { return d.close; })]);

// Add the valueline path.
    svg.append("path")
        .attr("class", "line")
        .attr("d", valueline(data));

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

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

// The table generation function
function tabulate(data, columns) {
    var table = d3.select("body").append("table")
            .attr("style", "margin-left: 250px"),
        thead = table.append("thead"),
        tbody = table.append("tbody");

// append the header row
    thead.append("tr")
        .selectAll("th")
        .data(columns)
        .enter()
        .append("th")
            .text(function(column) { return column; });

// create a row for each object in the data
    var rows = tbody.selectAll("tr")
        .data(data)
        .enter()
        .append("tr");

// create a cell in each row for each column
    var cells = rows.selectAll("td")
        .data(function(row) {
            return columns.map(function(column) {
                return {column: column, value: row[column]};
            });
        })
        .enter()
        .append("td")
        .attr("style", "font-family: Courier") // sets the font style
            .html(function(d) { return d.value; });
    
    return table;
}

// render the table
 var peopleTable = tabulate(data, ["date", "close"]);

});

</script>
</body>

https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js