d3noob/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    This is a simple d3.js graph used as an example in the book D3 Tips and Tricks.
It is aimed at providing some exposure to some d3.js functions and should be taken in context with the text of the book which can be downloaded for free from Leanpub.

  
## 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>