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D3 Line Plot with Multiple Traces. Hover Over Highlights.
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset = "utf-8"> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script type="text/javascript" src="http://code.jquery.com/jquery-latest.min.js"></script> | |
| <link rel="stylesheet" type="text/css" href="indfundbyregbytime_style.css"> | |
| <title> Index Funds Adjusted Closing Price by Geographical Region </title> | |
| </head> | |
| <body> | |
| <div id="main-wrapper"> | |
| <div id="content"> | |
| <h1> Adjusted Closing Price of Regional Index Funds </h1> | |
| <hr> | |
| <p> Daily adjusted closing price in US dollars of index funds representing | |
| various geographical regions between 1984 and 2012. | |
| </p> | |
| <div id="blurb"> | |
| <div id="default-blurb"> | |
| <table> | |
| <tr> | |
| <th>Fund</th> | |
| <th>Region</th> | |
| <th>Date</th> | |
| <th>Price (US $)</th> | |
| </tr> | |
| <tr> | |
| <td id = "id1">   </td> | |
| <td id = "id2">   </td> | |
| <td id = "id3">   </td> | |
| <td id = "id4">   </td> | |
| </tr> | |
| </table> | |
| </div> | |
| </div> | |
| <div id="vis"> </div> | |
| <script type="text/javascript" src="indfundbyregbytime.js"></script> | |
| <hr> | |
| <div id="cite">Source: <a href = | |
| "http://www.finance.yahoo.com">Yahoo!</a> finance.; Graphic by: Alexander T. Graf on the shoulders | |
| of <a href = | |
| "http://projects.flowingdata.com/life-expectancy/">Nathan Yau </a> | |
| and <a href = | |
| "http://d3js.org/">Mike Bostock </a>. | |
| </div> | |
| </div> | |
| </div> | |
| </body> | |
| </html> |
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| "use strict"; | |
| // Read in data from JSON convert Date values into javascript objects----- | |
| var parseDate = d3.time.format("%Y%m%d").parse; | |
| // define color scale | |
| var color = d3.scale.category20b(); | |
| d3.json("multistock_short.json", function(error, data) { | |
| color.domain(d3.keys(data[0]).filter(function(key) { return key == "ticker"; })); | |
| data = data.map( function (d) { | |
| d.date = parseDate(d.date); | |
| d.adjclose = +d.adjclose; | |
| return d; | |
| }); | |
| data = d3.nest().key(function(d) { return d.ticker; }).entries(data); | |
| draw(data); | |
| }); | |
| //------------------------------------------------------------------------- | |
| // Make a data driven plot with our data. | |
| function draw(data) { | |
| // define some common variables | |
| var margin = {top: 30, right: 30, bottom: 55, left: 90}, | |
| width = 900-margin.left-margin.right, | |
| height = 580-margin.top-margin.bottom; | |
| var valueline = d3.svg.line() | |
| .x( function(d) { return x(d.date); }) | |
| .y( function(d) { return y(d.adjclose); }) | |
| // define range for axes. | |
| // Date | |
| var x = d3.time.scale().range([0, width]); | |
| // Adjusted Close | |
| var y = d3.scale.log().range([height, 0]); | |
| // Scale the range of the data -- this will have to change for more than one stock! | |
| var startdate = new Date("1984", "01", "01"); | |
| var enddate = new Date("2012", "12", "31"); | |
| x.domain([startdate, enddate]); | |
| y.domain([1, 60000]); | |
| // Make x axis | |
| var xaxis = d3.svg.axis() | |
| .scale(x) | |
| .orient("bottom") | |
| .ticks(10); | |
| var xaxistop = d3.svg.axis() | |
| .scale(x) | |
| .orient("top") | |
| .tickFormat("") | |
| .ticks(10); | |
| // Make y axis | |
| var yaxis = d3.svg.axis() | |
| .scale(y) | |
| .orient("left") | |
| .ticks(5); | |
| var yaxisright = d3.svg.axis() | |
| .scale(y) | |
| .orient("right") | |
| .tickFormat("") | |
| .ticks(5); | |
| // Select html location and define svg within it with group g shifted to account for margins. | |
| var vis = d3.select("#vis") | |
| .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+")"); | |
| // Draw the Plotting region------------------------------ | |
| // X axis lines (bottom and top). | |
| vis.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xaxis); | |
| vis.append("g") | |
| .attr("class", "x axis") | |
| .call(xaxistop); | |
| // x axis title | |
| vis.append("text") | |
| .attr("x", width/2) | |
| .attr("y", height+margin.bottom-10) | |
| .style("text-anchor", "middle") | |
| .style("font-size", "16px") | |
| .text("Year"); | |
| // Y axis lines (left and right). | |
| vis.append("g") | |
| .attr("class", "y axis") | |
| .call(yaxis); | |
| vis.append("g") | |
| .attr("class", "y axis") | |
| .attr("transform", "translate(" + width + ",0)") | |
| .call(yaxisright); | |
| vis.append("text") | |
| .attr("x", 0-height/2) | |
| .attr("y", -margin.left+20) | |
| .attr("transform", "rotate(-90)") | |
| .style("text-anchor", "middle") | |
| .style("font-size", "16px") | |
| .text("Adjusted Close ($) (Log Scale)"); | |
| // End Draw the Plotting region------------------------------ | |
| var parameter = vis.selectAll(".parameter") | |
| .data(data, function(d) { return d.key; }) | |
| .enter().append("g") | |
| .attr("class", "parameter"); | |
| parameter.append("path") | |
| .attr("class", "line") | |
| .attr("d", function(d) { return valueline(d.values); }) | |
| .style("stroke", function(d) { return color(d.key); }) | |
| .style("opacity", "0.3") | |
| .on("mouseover", mouseover) | |
| .on("mouseout", mouseout); | |
| function mouseover(d, i) { | |
| var region = {"SPY" : "United States", | |
| "DJIA" : "United States", | |
| "^FTSE" : "United Kingdom", | |
| "^FCHI" : "France", | |
| "^GDAXI" : "Germany", | |
| "^IBEX" : "Spain", | |
| "^BSESN" : "India", | |
| "^HSI" : "China Hang Seng", | |
| "^N225" : "Japan Nikkei", | |
| "EWJ" : "Japan", | |
| "EWS" : "Singapore", | |
| "EWA" : "Australia", | |
| "WINDX" : "World Wilshire 5000", | |
| "EWH" : "Hong Kong", | |
| "EWT" : "Taiwan", | |
| "EWZ" : "Brazil", | |
| "EWY" : "South Korea", | |
| "EWC" : "Canada", | |
| "EWW" : "Mexico", | |
| "THD" : "Thailand", | |
| "TUR" : "Turkey", | |
| "BKF" : "BRIC Index", | |
| "EWK" : "Belgium", | |
| "EPHE" : "Philippines", | |
| "EPU" : "Peru", | |
| "EIDO" : "Indonesia", | |
| "EZA" : "South Africa", | |
| "EWN" : "Netherlands", | |
| "EWL" : "Switzerland", | |
| "ECH" : "Chile", | |
| "EWO" : "Austria", | |
| "EWD" : "Sweden", | |
| "RTS.RS" : "Russia" | |
| } | |
| d3.select(this).style("stroke","red") | |
| .style("opacity", "1"); | |
| var point = d3.mouse(this); | |
| $("#id1").text(d.key); | |
| $("#id2").text(region[d.key]); | |
| $("#id3").text(x.invert(point[0])); | |
| var hold = y.invert(point[1]); // fix the precision to 2 places | |
| $("#id4").text(hold.toFixed(2)); | |
| }; | |
| function mouseout(d, i) { | |
| d3.select(this).style("stroke", function(d) { return color(d.key); }) | |
| .style("opacity", "0.3"); | |
| $("#id1").html(" "); | |
| $("#id2").html(" "); | |
| $("#id3").html(" "); | |
| $("#id4").html(" "); | |
| }; | |
| }; |
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| body { font-family : Arial; | |
| padding : 5px 10px 10px 10px;} | |
| pblurb { color : Navy; | |
| font-weight : bold;} | |
| .axis path, | |
| .axis line { fill: none; | |
| stroke: #000; | |
| stroke-width : 1; | |
| fill : none; | |
| shape-rendering: crispEdges;} | |
| .line { fill : none; | |
| stroke: black; | |
| shape-rendering: crispEdges;} | |
| table { font-family: Arial; | |
| cell-spacing: 0; | |
| font-style: normal; | |
| font-size: 16px; | |
| border-collapse: collapse; | |
| border: 1px solid black; | |
| empty-cells:show;} | |
| th { text-align: center; | |
| width: 212px; | |
| border:1px solid Navy; | |
| background-color: Silver} | |
| td { text-align: center; | |
| width: 212px; | |
| height: 50px; | |
| color : red; | |
| border:1px solid Navy; | |
| empty-cells:show;} |
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