hazdik · March 4, 2020 12:47
diff --git a/README.md b/README.md
diff --git a/ASX.csv b/ASX.csv
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <html>
 <head>
 <meta charset="utf-8">
 <meta http-equiv="cache-control" content="max-age=0" />
 <meta http-equiv="cache-control" content="no-cache" />
 <meta http-equiv="expires" content="0" />
 <meta http-equiv="expires" content="Tue, 01 Jan 1980 1:00:00 GMT" />
 <meta http-equiv="pragma" content="no-cache" />
 <style>

 body {
  font: 10px sans-serif;
  background-color: #151512;;
  color: #FFF;
 }

 text {
    fill: white;
 }

 h1 {
  text-transform: uppercase;
  padding-left: 180px;
 }

 .axis path,
 .axis line {
  fill: none;
  stroke: #FFF;
  shape-rendering: crispEdges;
 }

 .line {
  stroke: #FFF;
  fill: none;
  stroke-width: 0.75px;
 }

 .line.close{
  stroke: steelblue;
 }

 .summary.Close {
  color: steelblue;
 }

 .legend.Close {
  fill: steelblue;
 }

 .line.volume {
  stroke: indianred;
 }

 .summary.Volume {
  color: indianred;
 }

 .legend.Volume {
  fill: indianred;
 }

 .line.high {
  stroke: #aa81c5;
 }

 .summary.High {
  color: #aa81c5;
 }

 .legend.High {
  fill: #aa81c5;
 }

 .line.low {
  stroke: #7fc9bd;
 }

 .summary.Low {
  color: #7fc9bd;
 }

 .legend.Low {
  fill: #7fc9bd;
 }

 .invisible {
  fill: grey;
 }

 .overlay {
  pointer-events: all;
 }

 .focus line {
  stroke: white;
  stroke-dasharray: 3 3;
  opacity: .5;
 }

 .brush .extent {
  stroke: orange;
  fill: orange;
  fill-opacity: .125;
  shape-rendering: crispEdges;
 }

 #popup {
    left: 100px;
    top: 100px;
    width: 128px;
    background-color: rgba(255,255,255,0.2);
    font-size: 16px;
    position: absolute;
    padding: 8px;
    opacity: 0;
 }

 </style>
 </head>
 <body>
 <h1>ASX prices and trading volumes (30/10/1998 - 14/08/2015)</h1>
 <script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script>
 <script>

 //Layout setting variable
 var main_margin = {top: 20, right: 80, bottom: 100, left: 40},
    mini_margin = {top: 430, right: 80, bottom: 20, left: 40},
    legend_width = 80,
    popup_left = 65,
    width = 1080,
    main_width = width - main_margin.left - main_margin.right - legend_width,
    main_height = 500 - main_margin.top - main_margin.bottom,
    mini_height = 500 - mini_margin.top - mini_margin.bottom;
 //Date formatter variable
 var formatDate = d3.time.format("%Y-%m-%d"),
    parseDate = formatDate.parse,
    bisectDate = d3.bisector(function(d) { return d.Date; }).left;
 //D3.js Scales function objects
 var main_x = d3.time.scale.utc()
    .range([0, main_width]),
    mini_x = d3.time.scale()
    .range([0, main_width]);
 //Create the SVG
 var svg = d3.select("body").append("svg")
    .attr("width", main_width + main_margin.left + main_margin.right + legend_width)
    .attr("height", main_height + main_margin.top + main_margin.bottom);

 svg.append("defs").append("clipPath")
    .attr("id", "clip")
  .append("rect")
    .attr("width", main_width)
    .attr("height", main_height);
 //Create the main Line chart
 var main = svg.append("g")
    .attr("transform", "translate(" + main_margin.left + "," + main_margin.top + ")");
 //Create the right-hand side chart lengend area, where we can switch the lines.    
 var legend = svg.append("g")
 .attr("transform", "translate(" + (width - legend_width) + "," + main_margin.top + ")");
 //Create the bottom mini chart area, where we place the chart brush
 var mini = svg.append("g")
    .attr("transform", "translate(" + mini_margin.left + "," + mini_margin.top + ")");
 //Fetch the ASX Price and Volume data. After getting all data, we draw the lines and axies
 d3.csv("ASX.csv", function(error, data) {
  //we need to convert the type of data variable to float or date
  data.forEach(function(d) {
    d.Date = parseDate(d.Date);
    d.Close = parseFloat(d.Close);
    d.Volume = parseInt(d.Volume);
    d.High = parseFloat(d.High);
    d.Low = parseFloat(d.Low)
  });
  //we need to sort those data in ascending order by date
  data.sort(function(a, b) {
    return a.Date - b.Date;
  });
  //Initial Time Extent
  var initDate = [data[data.length - 200].Date, data[data.length - 1].Date];
  //Create the brush
  var brush = d3.svg.brush()
    .x(mini_x)
    .on("brush", brushed);
  //The set the maximum value of left Y axis as the Hightest price and the lowest value as the minimum prices 
  var maxY = d3.max(data, function(d) { // Return max price value
      return d.High; });
  var minY = d3.min(data, function(d) {
 	  return d.Low;
  });
  //Create left Y axis and right Y axis. Left Y axis is the price and right axis is the volume
  var scaleY1 = d3.scale.sqrt().range([main_height, 0]).domain([minY, maxY]);
  var scaleY2 = d3.scale.sqrt().range([main_height, 0]).domain(d3.extent(data, function(d) { return d.Volume; }));
  //Left Y axis and right Y axis have their own scale individually
  var miniScaleY1 = d3.scale.sqrt().range([mini_height, 0]).domain(scaleY1.domain());
  var miniScaleY2 = d3.scale.sqrt().range([mini_height, 0]).domain(scaleY2.domain());
  //Create the lines path array, where store all line settings
  var pathes = [
                {name:'High',
               	 visible:false,
               	 pathClass:"line high",
           	     x: 'Date',
           	     y: 'High',
           	     scale: scaleY1,
           	     miniScale: miniScaleY1,
           	     focusClass: 'y0'},
           	     {name:'Low',
                  visible:false,
                  pathClass:"line low",
               	  x: 'Date',
               	  y: 'Low',
               	  scale: scaleY1,
               	  miniScale: miniScaleY1,
               	  focusClass: 'y0'},
 		        {name:'Close',
 		    	 visible:true,
 		    	 pathClass:"line close",
 			     x: 'Date',
 			     y: 'Close',
 			     scale: scaleY1,
 			     miniScale: miniScaleY1,
 			     focusClass: 'y0'},
 		         {name:'Volume',
 			      visible:true,
 			      pathClass:"line volume",
 			      x: 'Date',
 				  y: 'Volume',
 				  scale: scaleY2,
 				  miniScale: miniScaleY2,
 				  focusClass: 'y1'}
      ];
 //Create the main lines accessor function object
 var main_line = function(path) {
 	
 	var accessor = d3.svg.line()
    .interpolate("cardinal")
    .x(function(d) { return main_x(d[path.x]); })
    .y(function(d) { return path.scale(d[path.y]); });
 	
 	return accessor(data);
 }
 //Create the mini lines accessor function object
 var mini_line = function(path) {
 	var accessor = d3.svg.line()
    .x(function(d) { return mini_x(d[path.x]); })
    .y(function(d) { return path.miniScale(d[path.y]); });
 	
 	return accessor(data);
 }
  //Set lines domain
  main_x.domain(initDate);
  mini_x.domain([data[0].Date, data[data.length - 1].Date]);
  
 //Axis variables
  var main_xAxis = d3.svg.axis()
      .scale(main_x)
      .tickFormat(d3.time.format("%d/%m/%y"))
      .orient("bottom");
  var mini_xAxis = d3.svg.axis()
      .scale(mini_x)
      .tickFormat(d3.time.format("%d/%m/%y"))
      .orient("bottom");
  var main_yAxisLeft = d3.svg.axis()
    .scale(scaleY1)
    .orient("left");
    main_yAxisRight = d3.svg.axis()
    .scale(scaleY2)
    .orient("right");
  //Create a overlay rect to catch the mouse movement when it move over the chart
  main.append("rect")
    .attr("class", "overlay")
    .attr("width", main_width)
    .attr("height", main_height)
    .on("mouseover", function() { 
    	focus.style("display", null);
    	popup.style("opacity", 1)
    	     .style("left", popup_left + "px")			 
 	         .style("top", "80px"); })
    .on("mouseout", function() { focus.style("display", "none"); popup.style("opacity", 0); })
    .on("mousemove", mousemove);
  //Create the path attribute of main lines
  var main_lines = main.selectAll("path")
  .data(pathes) // Select nested data and append to new svg group elements
  .enter().append("path")
  .attr("clip-path", "url(#clip)")
  .attr("class", function(d) {
 	  return d.pathClass;
  })
  .attr("pointer-events", "none")
  .attr("d", function(d){
 	  return d.visible ? main_line(d) : null;
  });
  
  /* Add 'curtain' rectangle to hide entire grapth for the curtain effect */
  var curtain = main.append('rect')
    .attr('x', -1 * main_width)
    .attr('y', -1 * main_height)
    .attr('height', main_height)
    .attr('width', main_width)
    .attr('class', 'curtain')
    .attr("pointer-events", "none")
    .attr('transform', 'rotate(180)')
    .style('fill', '#000');
  //Add the main axis to main chart area
  main.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + main_height + ")")
      .call(main_xAxis);
 //Add the Y axises to main chart area
  main.append("g")
      .attr("class", "y axis axisLeft")
      .call(main_yAxisLeft)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Price ($)");
  //Only display the right Y axis if the volume data is present
  if (pathes[3].visible) {
    main.append("g")
      .attr("class", "y axis axisRight")
      .attr("transform", "translate(" + main_width + ", 0)")
      .call(main_yAxisRight)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", -12)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Volume");
  }
  //Add the x axis to the mini chart area
  mini.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + mini_height + ")")
      .call(mini_xAxis);
  //Set up the d attribute of mini lines
  var mini_lines = mini.selectAll("path")
  .data(pathes, function(d, i) { return d.name })
  .enter().append("path")
  .attr("class", 'line')
  .attr("d", function(d){
 	  return d.visible ? mini_line(d) : null;
  });
  //Add the brush to mini line chart area
  mini.append("g")
      .attr("class", "x brush")
      .call(brush)
    .selectAll("rect")
      .attr("y", -6)
      .attr("height", mini_height + 7);
  //Set the brush extent to Initial date
  brush.extent(initDate)
 //now draw the brush to match our extent
  brush(d3.select(".brush").transition());
  //Add the focus line which will show up when mouse move over the main chart
  var focus = main.append("g")
      .attr("class", "focus")
      .style("display", "none");
  focus.append("line")
      .attr("class", "x")
      .attr("y1",scaleY2(0))
      .attr("y2",scaleY2(0) - main_height)
      .attr("pointer-events", "none");

  //Create the popup text area on the left top
  var popup = d3.select('body').append('div').attr('id',"popup").attr("opacity", 0).style("left", "200px")			 
 	.style("top", "200px");;
  popup.append("text").attr("class", "popup date").attr("x", 20).attr("y", 27);
  //Create the legend text area on the right top
  var legend_text = legend.selectAll('g')
    .data(pathes)
    .enter()
    .append('g')
 	.attr('class', 'legend');
 	//Create the switch button for each line.
 	legend_text.append("rect")
    .attr("width", 10)
    .attr("height", 10)
    .attr('x', 0)
    .attr('y', function(d, n) {
 		return (33 + n * 15);
 	})
    .attr("class",function(d) {
        return d.visible ? 'legend ' + d.name : 'invisible'; 
      })
    .on("click", function(d){ // On click make d.visible 
        d.visible = !d.visible; // If array key for this data selection is "visible" = true then make it false, if false then make it true
        //Switch on or off the right-hand Y axis
        if (d.name == 'Volume') {
        	d.visible ? main.select('.axisRight').attr('opacity', 1) :  main.select('.axisRight').attr('opacity', 0);
        }
        //Open the curtain
        curtain.attr('width', main_width);
        //Redraw the lines in the main chart area
        main.selectAll("path")
        .attr("d", function(d){
 	       return d.visible ? main_line(d) : null;
        });
        //Reset the legend text color
        legend_text.select("rect")
          .attr("class",function(d) {
            return d.visible ? 'legend ' + d.name : 'invisible'; 
          });
        legend_text.select("text")
        .attr("class",function(d) {
          return d.visible ? 'legend ' + d.name : 'invisible'; 
        });
        //Reset the popup text color
       // setPopupClass();
        //Close the curtain gradually
        t = curtain.transition()
        .delay(750)
        .duration(6000)
        .ease('linear');
        
        t.attr('width', 0);
        
      });
 	//Add the legend text
 	legend_text.append('text')
 	.attr('class', function(d) {
 		return d.visible ? 'legend ' + d.name : 'invisible';
 	})
 	.attr('x', 20)
 	.attr('y', function(d, n) {
 		return (42 + n * 15);
 	})
 	.text(function(d) {
 		return d.name;
 	});
  //Close the curtain gradually
  var t = curtain.transition()
    .delay(750)
    .duration(6000)
    .ease('linear'); 
  t.attr('width', 0);
  //Mouse movement handling function
  function mousemove() {
    var x0 = main_x.invert(d3.mouse(this)[0]),
        i = 0,
        d = data[bisectDate(data, x0, 1)];
   
  
    var left = d3.mouse(this)[0];
    if (left > main_width -128) {
    	left = main_width -128;
    }
    else {
    	if (left < 60) {
    		left = 60;
    	}
    }
    popup.style("left", left + "px")			 
    .style("top", "80px");
    
    var tipHtml = '<div style="color: orange;">' + formatDate(d.Date) + '</div>';
    pathes.forEach(function(path) {
    	if (path.visible) {
    		tipHtml += '<div class="summary ' + path.name +'">' + path.name + ": " + d[path.y] + '</div>';
    	}
    });
    
    popup.html(tipHtml);
    focus.select(".x").attr("transform", "translate(" + main_x(d.Date) + ",0)");
  }
  //Brush handling function
  function brushed() {
    main_x.domain(brush.empty() ? main_x.domain() : brush.extent());
    main.selectAll(".line").attr("d", function(d){
 	  return d.visible ? main_line(d) : null;
      });
    //Reset the main X axis
    main.select(".x.axis").call(main_xAxis);
  
  }
 });


 </script>
 </body>
 </html>
diff --git a/License.txt b/License.txt

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	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<meta http-equiv="cache-control" content="max-age=0" />
	<meta http-equiv="cache-control" content="no-cache" />
	<meta http-equiv="expires" content="0" />
	<meta http-equiv="expires" content="Tue, 01 Jan 1980 1:00:00 GMT" />
	<meta http-equiv="pragma" content="no-cache" />
	<style>

	body {
	font: 10px sans-serif;
	background-color: #151512;;
	color: #FFF;
	}

	text {
	fill: white;
	}

	h1 {
	text-transform: uppercase;
	padding-left: 180px;
	}

	.axis path,
	.axis line {
	fill: none;
	stroke: #FFF;
	shape-rendering: crispEdges;
	}

	.line {
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	fill: none;
	stroke-width: 0.75px;
	}

	.line.close{
	stroke: steelblue;
	}

	.summary.Close {
	color: steelblue;
	}

	.legend.Close {
	fill: steelblue;
	}

	.line.volume {
	stroke: indianred;
	}

	.summary.Volume {
	color: indianred;
	}

	.legend.Volume {
	fill: indianred;
	}

	.line.high {
	stroke: #aa81c5;
	}

	.summary.High {
	color: #aa81c5;
	}

	.legend.High {
	fill: #aa81c5;
	}

	.line.low {
	stroke: #7fc9bd;
	}

	.summary.Low {
	color: #7fc9bd;
	}

	.legend.Low {
	fill: #7fc9bd;
	}

	.invisible {
	fill: grey;
	}

	.overlay {
	pointer-events: all;
	}

	.focus line {
	stroke: white;
	stroke-dasharray: 3 3;
	opacity: .5;
	}

	.brush .extent {
	stroke: orange;
	fill: orange;
	fill-opacity: .125;
	shape-rendering: crispEdges;
	}

	#popup {
	left: 100px;
	top: 100px;
	width: 128px;
	background-color: rgba(255,255,255,0.2);
	font-size: 16px;
	position: absolute;
	padding: 8px;
	opacity: 0;
	}

	</style>
	</head>
	<body>
	<h1>ASX prices and trading volumes (30/10/1998 - 14/08/2015)</h1>
	<script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script>
	<script>

	//Layout setting variable
	var main_margin = {top: 20, right: 80, bottom: 100, left: 40},
	mini_margin = {top: 430, right: 80, bottom: 20, left: 40},
	legend_width = 80,
	popup_left = 65,
	width = 1080,
	main_width = width - main_margin.left - main_margin.right - legend_width,
	main_height = 500 - main_margin.top - main_margin.bottom,
	mini_height = 500 - mini_margin.top - mini_margin.bottom;
	//Date formatter variable
	var formatDate = d3.time.format("%Y-%m-%d"),
	parseDate = formatDate.parse,
	bisectDate = d3.bisector(function(d) { return d.Date; }).left;
	//D3.js Scales function objects
	var main_x = d3.time.scale.utc()
	.range([0, main_width]),
	mini_x = d3.time.scale()
	.range([0, main_width]);
	//Create the SVG
	var svg = d3.select("body").append("svg")
	.attr("width", main_width + main_margin.left + main_margin.right + legend_width)
	.attr("height", main_height + main_margin.top + main_margin.bottom);

	svg.append("defs").append("clipPath")
	.attr("id", "clip")
	.append("rect")
	.attr("width", main_width)
	.attr("height", main_height);
	//Create the main Line chart
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	.attr("transform", "translate(" + main_margin.left + "," + main_margin.top + ")");
	//Create the right-hand side chart lengend area, where we can switch the lines.
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	.attr("transform", "translate(" + (width - legend_width) + "," + main_margin.top + ")");
	//Create the bottom mini chart area, where we place the chart brush
	var mini = svg.append("g")
	.attr("transform", "translate(" + mini_margin.left + "," + mini_margin.top + ")");
	//Fetch the ASX Price and Volume data. After getting all data, we draw the lines and axies
	d3.csv("ASX.csv", function(error, data) {
	//we need to convert the type of data variable to float or date
	data.forEach(function(d) {
	d.Date = parseDate(d.Date);
	d.Close = parseFloat(d.Close);
	d.Volume = parseInt(d.Volume);
	d.High = parseFloat(d.High);
	d.Low = parseFloat(d.Low)
	});
	//we need to sort those data in ascending order by date
	data.sort(function(a, b) {
	return a.Date - b.Date;
	});
	//Initial Time Extent
	var initDate = [data[data.length - 200].Date, data[data.length - 1].Date];
	//Create the brush
	var brush = d3.svg.brush()
	.x(mini_x)
	.on("brush", brushed);
	//The set the maximum value of left Y axis as the Hightest price and the lowest value as the minimum prices
	var maxY = d3.max(data, function(d) { // Return max price value
	return d.High; });
	var minY = d3.min(data, function(d) {
	return d.Low;
	});
	//Create left Y axis and right Y axis. Left Y axis is the price and right axis is the volume
	var scaleY1 = d3.scale.sqrt().range([main_height, 0]).domain([minY, maxY]);
	var scaleY2 = d3.scale.sqrt().range([main_height, 0]).domain(d3.extent(data, function(d) { return d.Volume; }));
	//Left Y axis and right Y axis have their own scale individually
	var miniScaleY1 = d3.scale.sqrt().range([mini_height, 0]).domain(scaleY1.domain());
	var miniScaleY2 = d3.scale.sqrt().range([mini_height, 0]).domain(scaleY2.domain());
	//Create the lines path array, where store all line settings
	var pathes = [
	{name:'High',
	visible:false,
	pathClass:"line high",
	x: 'Date',
	y: 'High',
	scale: scaleY1,
	miniScale: miniScaleY1,
	focusClass: 'y0'},
	{name:'Low',
	visible:false,
	pathClass:"line low",
	x: 'Date',
	y: 'Low',
	scale: scaleY1,
	miniScale: miniScaleY1,
	focusClass: 'y0'},
	{name:'Close',
	visible:true,
	pathClass:"line close",
	x: 'Date',
	y: 'Close',
	scale: scaleY1,
	miniScale: miniScaleY1,
	focusClass: 'y0'},
	{name:'Volume',
	visible:true,
	pathClass:"line volume",
	x: 'Date',
	y: 'Volume',
	scale: scaleY2,
	miniScale: miniScaleY2,
	focusClass: 'y1'}
	];
	//Create the main lines accessor function object
	var main_line = function(path) {

	var accessor = d3.svg.line()
	.interpolate("cardinal")
	.x(function(d) { return main_x(d[path.x]); })
	.y(function(d) { return path.scale(d[path.y]); });

	return accessor(data);
	}
	//Create the mini lines accessor function object
	var mini_line = function(path) {
	var accessor = d3.svg.line()
	.x(function(d) { return mini_x(d[path.x]); })
	.y(function(d) { return path.miniScale(d[path.y]); });

	return accessor(data);
	}
	//Set lines domain
	main_x.domain(initDate);
	mini_x.domain([data[0].Date, data[data.length - 1].Date]);

	//Axis variables
	var main_xAxis = d3.svg.axis()
	.scale(main_x)
	.tickFormat(d3.time.format("%d/%m/%y"))
	.orient("bottom");
	var mini_xAxis = d3.svg.axis()
	.scale(mini_x)
	.tickFormat(d3.time.format("%d/%m/%y"))
	.orient("bottom");
	var main_yAxisLeft = d3.svg.axis()
	.scale(scaleY1)
	.orient("left");
	main_yAxisRight = d3.svg.axis()
	.scale(scaleY2)
	.orient("right");
	//Create a overlay rect to catch the mouse movement when it move over the chart
	main.append("rect")
	.attr("class", "overlay")
	.attr("width", main_width)
	.attr("height", main_height)
	.on("mouseover", function() {
	focus.style("display", null);
	popup.style("opacity", 1)
	.style("left", popup_left + "px")
	.style("top", "80px"); })
	.on("mouseout", function() { focus.style("display", "none"); popup.style("opacity", 0); })
	.on("mousemove", mousemove);
	//Create the path attribute of main lines
	var main_lines = main.selectAll("path")
	.data(pathes) // Select nested data and append to new svg group elements
	.enter().append("path")
	.attr("clip-path", "url(#clip)")
	.attr("class", function(d) {
	return d.pathClass;
	})
	.attr("pointer-events", "none")
	.attr("d", function(d){
	return d.visible ? main_line(d) : null;
	});

	/* Add 'curtain' rectangle to hide entire grapth for the curtain effect */
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	.attr('x', -1 * main_width)
	.attr('y', -1 * main_height)
	.attr('height', main_height)
	.attr('width', main_width)
	.attr('class', 'curtain')
	.attr("pointer-events", "none")
	.attr('transform', 'rotate(180)')
	.style('fill', '#000');
	//Add the main axis to main chart area
	main.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + main_height + ")")
	.call(main_xAxis);
	//Add the Y axises to main chart area
	main.append("g")
	.attr("class", "y axis axisLeft")
	.call(main_yAxisLeft)
	.append("text")
	.attr("transform", "rotate(-90)")
	.attr("y", 6)
	.attr("dy", ".71em")
	.style("text-anchor", "end")
	.text("Price ($)");
	//Only display the right Y axis if the volume data is present
	if (pathes[3].visible) {
	main.append("g")
	.attr("class", "y axis axisRight")
	.attr("transform", "translate(" + main_width + ", 0)")
	.call(main_yAxisRight)
	.append("text")
	.attr("transform", "rotate(-90)")
	.attr("y", -12)
	.attr("dy", ".71em")
	.style("text-anchor", "end")
	.text("Volume");
	}
	//Add the x axis to the mini chart area
	mini.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + mini_height + ")")
	.call(mini_xAxis);
	//Set up the d attribute of mini lines
	var mini_lines = mini.selectAll("path")
	.data(pathes, function(d, i) { return d.name })
	.enter().append("path")
	.attr("class", 'line')
	.attr("d", function(d){
	return d.visible ? mini_line(d) : null;
	});
	//Add the brush to mini line chart area
	mini.append("g")
	.attr("class", "x brush")
	.call(brush)
	.selectAll("rect")
	.attr("y", -6)
	.attr("height", mini_height + 7);
	//Set the brush extent to Initial date
	brush.extent(initDate)
	//now draw the brush to match our extent
	brush(d3.select(".brush").transition());
	//Add the focus line which will show up when mouse move over the main chart
	var focus = main.append("g")
	.attr("class", "focus")
	.style("display", "none");
	focus.append("line")
	.attr("class", "x")
	.attr("y1",scaleY2(0))
	.attr("y2",scaleY2(0) - main_height)
	.attr("pointer-events", "none");

	//Create the popup text area on the left top
	var popup = d3.select('body').append('div').attr('id',"popup").attr("opacity", 0).style("left", "200px")
	.style("top", "200px");;
	popup.append("text").attr("class", "popup date").attr("x", 20).attr("y", 27);
	//Create the legend text area on the right top
	var legend_text = legend.selectAll('g')
	.data(pathes)
	.enter()
	.append('g')
	.attr('class', 'legend');
	//Create the switch button for each line.
	legend_text.append("rect")
	.attr("width", 10)
	.attr("height", 10)
	.attr('x', 0)
	.attr('y', function(d, n) {
	return (33 + n * 15);
	})
	.attr("class",function(d) {
	return d.visible ? 'legend ' + d.name : 'invisible';
	})
	.on("click", function(d){ // On click make d.visible
	d.visible = !d.visible; // If array key for this data selection is "visible" = true then make it false, if false then make it true
	//Switch on or off the right-hand Y axis
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	d.visible ? main.select('.axisRight').attr('opacity', 1) : main.select('.axisRight').attr('opacity', 0);
	}
	//Open the curtain
	curtain.attr('width', main_width);
	//Redraw the lines in the main chart area
	main.selectAll("path")
	.attr("d", function(d){
	return d.visible ? main_line(d) : null;
	});
	//Reset the legend text color
	legend_text.select("rect")
	.attr("class",function(d) {
	return d.visible ? 'legend ' + d.name : 'invisible';
	});
	legend_text.select("text")
	.attr("class",function(d) {
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	});
	//Reset the popup text color
	// setPopupClass();
	//Close the curtain gradually
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	.delay(750)
	.duration(6000)
	.ease('linear');

	t.attr('width', 0);

	});
	//Add the legend text
	legend_text.append('text')
	.attr('class', function(d) {
	return d.visible ? 'legend ' + d.name : 'invisible';
	})
	.attr('x', 20)
	.attr('y', function(d, n) {
	return (42 + n * 15);
	})
	.text(function(d) {
	return d.name;
	});
	//Close the curtain gradually
	var t = curtain.transition()
	.delay(750)
	.duration(6000)
	.ease('linear');
	t.attr('width', 0);
	//Mouse movement handling function
	function mousemove() {
	var x0 = main_x.invert(d3.mouse(this)[0]),
	i = 0,
	d = data[bisectDate(data, x0, 1)];


	var left = d3.mouse(this)[0];
	if (left > main_width -128) {
	left = main_width -128;
	}
	else {
	if (left < 60) {
	left = 60;
	}
	}
	popup.style("left", left + "px")
	.style("top", "80px");

	var tipHtml = '<div style="color: orange;">' + formatDate(d.Date) + '</div>';
	pathes.forEach(function(path) {
	if (path.visible) {
	tipHtml += '<div class="summary ' + path.name +'">' + path.name + ": " + d[path.y] + '</div>';
	}
	});

	popup.html(tipHtml);
	focus.select(".x").attr("transform", "translate(" + main_x(d.Date) + ",0)");
	}
	//Brush handling function
	function brushed() {
	main_x.domain(brush.empty() ? main_x.domain() : brush.extent());
	main.selectAll(".line").attr("d", function(d){
	return d.visible ? main_line(d) : null;
	});
	//Reset the main X axis
	main.select(".x.axis").call(main_xAxis);

	}
	});


	</script>
	</body>
	</html>

	Apache License
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