d3noob/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    This is a simple line graph designed to allow investigation of aspects of using d3.js and is used as a teaching aid.
It is the baseline example graph used in the D3 Tips and Tricks book.
Edit: June 2014
I am going through a process of updating the code resources for the book and the latest (but not particularly different) example of this graph is here.

  
## data.csv

          
            date
            close

            
              1-May-12
              58.13

            
              30-Apr-12
              53.98

            
              27-Apr-12
              67.00

            
              26-Apr-12
              89.70

            
              25-Apr-12
              99.00

            
              24-Apr-12
              130.28

            
              23-Apr-12
              166.70

            
              20-Apr-12
              234.98

            
              19-Apr-12
              345.44

            
              18-Apr-12
              443.34

            
              17-Apr-12
              543.70

            
              16-Apr-12
              580.13

            
              13-Apr-12
              605.23

            
              12-Apr-12
              622.77

            
              11-Apr-12
              626.20

            
              10-Apr-12
              628.44

            
              9-Apr-12
              636.23

            
              5-Apr-12
              633.68

            
              4-Apr-12
              624.31

            
              3-Apr-12
              629.32

            
              2-Apr-12
              618.63

            
              30-Mar-12
              599.55

            
              29-Mar-12
              609.86

            
              28-Mar-12
              617.62

            
              27-Mar-12
              614.48

            
              26-Mar-12
              606.98

## index.html
<!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;
}

</style>
<body>

<!-- load the d3.js library -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>

<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.date); })
	.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.date = parseDate(d.date);
		d.close = +d.close;
	});

	// 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.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);

});

</script>
</body>

## thumbnail.png

      
    Raw
  

              thumbnail.png
	date	close
	1-May-12	58.13
	30-Apr-12	53.98
	27-Apr-12	67.00
	26-Apr-12	89.70
	25-Apr-12	99.00
	24-Apr-12	130.28
	23-Apr-12	166.70
	20-Apr-12	234.98
	19-Apr-12	345.44
	18-Apr-12	443.34
	17-Apr-12	543.70
	16-Apr-12	580.13
	13-Apr-12	605.23
	12-Apr-12	622.77
	11-Apr-12	626.20
	10-Apr-12	628.44
	9-Apr-12	636.23
	5-Apr-12	633.68
	4-Apr-12	624.31
	3-Apr-12	629.32
	2-Apr-12	618.63
	30-Mar-12	599.55
	29-Mar-12	609.86
	28-Mar-12	617.62
	27-Mar-12	614.48
	26-Mar-12	606.98
	<!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;
	}

	</style>
	<body>

	<!-- load the d3.js library -->
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>

	<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.date); })
	.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.date = parseDate(d.date);
	d.close = +d.close;
	});

	// 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.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);

	});

	</script>
	</body>