Recreate the grouped horizontal 100% step area chart from dimple.js with rCharts.
Note, as of now, will need to use the dimple v2.0.0 branch of rCharts.
install_github("timelyportfolio/rCharts@dimple_v2.0.0")
Interpolation options are not limited to step. See the full set of d3.js interpolate options.
| #http://dimplejs.org/examples_viewer.html?id=area_steps_horizontal_grouped_100pct | |
| d1 <- dPlot( | |
| data = subset(data, Owner %in% c("Aperture","Black Mesa")), | |
| #var myChart = new dimple.chart(svg, data); | |
| bounds = list(x=70,y=30,width=340,height=330), | |
| #myChart.setBounds(70, 30, 340, 330); | |
| x = c("Owner","Month"), | |
| #var x = myChart.addCategoryAxis("x", ["Owner", "Month"]); | |
| xAxis = list( grouporderRule = "Date" ), | |
| #x.addGroupOrderRule("Date"); | |
| y = "UnitSales", | |
| yAxis = list( type = "addPctAxis" ), | |
| #myChart.addPctAxis("y", "Unit Sales"); | |
| groups = "SKU", | |
| type = "area", | |
| #var s = myChart.addSeries("SKU", dimple.plot.area); | |
| interpolation = "step", | |
| #s.interpolation = "step"; | |
| lineWeight = 1, | |
| #s.lineWeight = 1; | |
| barGap = 0.05, | |
| #s.barGap = 0.05; | |
| legend = list( | |
| x = 430, | |
| y = 20, | |
| width = 100, | |
| height = 300, | |
| horizontalAlign = "left" | |
| ) | |
| #myChart.addLegend(430, 20, 100, 300, "left"); | |
| ) | |
| d1 |
| <!doctype HTML> | |
| <meta charset = 'utf-8'> | |
| <html> | |
| <head> | |
| <link rel='stylesheet' href="http://netdna.bootstrapcdn.com/bootswatch/2.3.1/cosmo/bootstrap.min.css"> | |
| <link rel="stylesheet" href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.1/css/bootstrap-responsive.min.css" > | |
| <link rel='stylesheet' href="http://getbootstrap.com/2.3.2/assets/js/google-code-prettify/prettify.css"> | |
| <link rel='stylesheet' href="http://aozora.github.io/bootplus/assets/css/docs.css"> | |
| <script src='http://d3js.org/d3.v3.min.js' type='text/javascript'></script> | |
| <script src='http://dimplejs.org/dist/dimple.v2.0.0.min.js' type='text/javascript'></script> | |
| <style> | |
| .rChart { | |
| display: block | |
| margin: auto auto; | |
| width: 100%; | |
| height: 400px; | |
| } | |
| /* | |
| body { | |
| margin-top: 60px; | |
| } | |
| */ | |
| </style> | |
| </head> | |
| <body> | |
| <div class='container'> | |
| <div class='row'> | |
| <div class='span8'> | |
| <div class="bs-docs-example"> | |
| <div id='chart281c6e244a81' class='rChart dimple'> | |
| </div> | |
| <br/> | |
| <pre><code class='r'>#http://dimplejs.org/examples_viewer.html?id=area_steps_horizontal_grouped_100pct | |
| d1 <- dPlot( | |
| data = subset(data, Owner %in% c("Aperture","Black Mesa")), | |
| #var myChart = new dimple.chart(svg, data); | |
| bounds = list(x=70,y=30,width=340,height=330), | |
| #myChart.setBounds(70, 30, 340, 330); | |
| x = c("Owner","Month"), | |
| #var x = myChart.addCategoryAxis("x", ["Owner", "Month"]); | |
| xAxis = list( grouporderRule = "Date" ), | |
| #x.addGroupOrderRule("Date"); | |
| y = "UnitSales", | |
| yAxis = list( type = "addPctAxis" ), | |
| #myChart.addPctAxis("y", "Unit Sales"); | |
| groups = "SKU", | |
| type = "area", | |
| #var s = myChart.addSeries("SKU", dimple.plot.area); | |
| interpolation = "step", | |
| #s.interpolation = "step"; | |
| lineWeight = 1, | |
| #s.lineWeight = 1; | |
| barGap = 0.05, | |
| #s.barGap = 0.05; | |
| legend = list( | |
| x = 430, | |
| y = 20, | |
| width = 100, | |
| height = 300, | |
| horizontalAlign = "left" | |
| ) | |
| #myChart.addLegend(430, 20, 100, 300, "left"); | |
| ) | |
| d1 | |
| </code></pre> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <script type="text/javascript"> | |
| var chart281c6e244a81 = (function() { | |
| var opts = { | |
| "dom": "chart281c6e244a81", | |
| "width": 700, | |
| "height": 400, | |
| "xAxis": { | |
| "type": "addCategoryAxis", | |
| "showPercent": false, | |
| "grouporderRule": "Date" | |
| }, | |
| "yAxis": { | |
| "type": "addPctAxis", | |
| "showPercent": false | |
| }, | |
| "zAxis": [], | |
| "colorAxis": [], | |
| "defaultColors": [], | |
| "layers": [], | |
| "legend": { | |
| "x": 430, | |
| "y": 20, | |
| "width": 100, | |
| "height": 300, | |
| "horizontalAlign": "left" | |
| }, | |
| "x": [ "Owner", "Month" ], | |
| "y": "UnitSales", | |
| "bounds": { | |
| "x": 70, | |
| "y": 30, | |
| "width": 340, | |
| "height": 330 | |
| }, | |
| "groups": "SKU", | |
| "type": "area", | |
| "interpolation": "step", | |
| "lineWeight": 1, | |
| "barGap": 0.05, | |
| "id": "chart281c6e244a81" | |
| }, | |
| data = [{"Date":"01/01/2011","Month":"Jan-11","Channel":"Hypermarkets","Owner":"Aperture","Brand":"Delta","PackSize":12,"PackType":"Standard","SKU":"Delta 12 Pack Standard","PriceTier":"Budget","UnitSales":1765,"SalesValue":95444,"Distribution":97.25,"CostofSales":242.48,"Price":54.08,"GrossProfit":95201.52,"IndirectCosts":88884.12,"OperatingProfit":6317.4,"UnitSalesMonthlyChange":1765,"SalesValueMonthlyChange":95444,"DistributionMonthlyChange":97.25,"CostofSalesMonthlyChange":242.48,"PriceMonthlyChange":54.08,"GrossProfitMonthlyChange":95201.52,"IndirectCostsMonthlyChange":88884.12,"OperatingProfitMonthlyChange":6317.4},{"Date":"01/01/2011","Month":"Jan-11","Channel":"Hypermarkets","Owner":"Aperture","Brand":"Eta","PackSize":12,"PackType":"Standard","SKU":"Eta 12 Pack 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Giftset","PriceTier":"Regular","UnitSales":2506,"SalesValue":233914,"Distribution":22.78,"CostofSales":594.28,"Price":93.34,"GrossProfit":233319.72,"IndirectCosts":217837.14,"OperatingProfit":15482.58,"UnitSalesMonthlyChange":912,"SalesValueMonthlyChange":81999,"DistributionMonthlyChange":0.09,"CostofSalesMonthlyChange":208.32,"PriceMonthlyChange":-1.96,"GrossProfitMonthlyChange":81790.68,"IndirectCostsMonthlyChange":76363.36,"OperatingProfitMonthlyChange":5427.32},{"Date":"01/12/2012","Month":"Dec-12","Channel":"Supermarkets","Owner":"Black Mesa","Brand":"Theta","PackSize":12,"PackType":"Standard","SKU":"Theta 12 Pack Standard","PriceTier":"Regular","UnitSales":11830,"SalesValue":901034,"Distribution":47.5,"CostofSales":2289.17,"Price":76.17,"GrossProfit":898744.83,"IndirectCosts":839107.37,"OperatingProfit":59637.46,"UnitSalesMonthlyChange":1423,"SalesValueMonthlyChange":101989,"DistributionMonthlyChange":2.05,"CostofSalesMonthlyChange":259.11,"PriceMonthlyChange":-0.61,"GrossProfitMonthlyChange":101729.89,"IndirectCostsMonthlyChange":94979.1,"OperatingProfitMonthlyChange":6750.79},{"Date":"01/12/2012","Month":"Dec-12","Channel":"Supermarkets","Owner":"Black Mesa","Brand":"Theta","PackSize":18,"PackType":"Standard","SKU":"Theta 18 Pack Standard","PriceTier":"Regular","UnitSales":68455,"SalesValue":3896305,"Distribution":47.08,"CostofSales":9898.97,"Price":56.92,"GrossProfit":3886406.03,"IndirectCosts":3628519.18,"OperatingProfit":257886.85,"UnitSalesMonthlyChange":55770,"SalesValueMonthlyChange":3049397,"DistributionMonthlyChange":6.91,"CostofSalesMonthlyChange":7747.31,"PriceMonthlyChange":-9.84,"GrossProfitMonthlyChange":3041649.69,"IndirectCostsMonthlyChange":2839817.27,"OperatingProfitMonthlyChange":201832.42}]; | |
| var svg = dimple.newSvg("#" + opts.id, opts.width, opts.height); | |
| //data = dimple.filterData(data, "Owner", ["Aperture", "Black Mesa"]) | |
| var myChart = new dimple.chart(svg, data); | |
| if (opts.bounds) { | |
| myChart.setBounds(opts.bounds.x, opts.bounds.y, opts.bounds.width, opts.bounds.height);//myChart.setBounds(80, 30, 480, 330); | |
| } | |
| //dimple allows use of custom CSS with noFormats | |
| if(opts.noFormats) { myChart.noFormats = opts.noFormats; }; | |
| //for markimekko and addAxis also have third parameter measure | |
| //so need to evaluate if measure provided | |
| //function to build axes | |
| function buildAxis(position,layer){ | |
| var axis; | |
| var axisopts = opts[position+"Axis"]; | |
| if(axisopts.measure) { | |
| axis = myChart[axisopts.type](position,layer[position],axisopts.measure); | |
| } else { | |
| axis = myChart[axisopts.type](position, layer[position]); | |
| }; | |
| if(!(axisopts.type === "addPctAxis")) axis.showPercent = axisopts.showPercent; | |
| if (axisopts.orderRule) axis.addOrderRule(axisopts.orderRule); | |
| if (axisopts.grouporderRule) axis.addGroupOrderRule(axisopts.grouporderRule); | |
| if (axisopts.overrideMin) axis.overrideMin = axisopts.overrideMin; | |
| if (axisopts.overrideMax) axis.overrideMax = axisopts.overrideMax; | |
| if (axisopts.overrideMax) axis.overrideMax = axisopts.overrideMax; | |
| if (axisopts.inputFormat) axis.dateParseFormat = axisopts.inputFormat; | |
| if (axisopts.outputFormat) axis.tickFormat = axisopts.outputFormat; | |
| return axis; | |
| }; | |
| var c = null; | |
| if(d3.keys(opts.colorAxis).length > 0) { | |
| c = myChart[opts.colorAxis.type](opts.colorAxis.colorSeries,opts.colorAxis.palette) ; | |
| if(opts.colorAxis.outputFormat){ | |
| c.tickFormat = opts.colorAxis.outputFormat; | |
| } | |
| } | |
| //allow manipulation of default colors to use with dimple | |
| if(opts.defaultColors.length) { | |
| //need to adjust this if not handed an array of arrays | |
| //depends on which toJSON used in R | |
| if (opts.defaultColors[0].length) { | |
| opts.defaultColors = opts.defaultColors[0]; | |
| } | |
| if (typeof(opts.defaultColors) == "function") { | |
| //assume this is a d3 scale | |
| //for now loop through first 20 but need a better way to handle | |
| defaultColorsArray = []; | |
| for (var n=0;n<20;n++) { | |
| defaultColorsArray.push(opts.defaultColors(n)); | |
| }; | |
| opts.defaultColors = defaultColorsArray; | |
| } | |
| opts.defaultColors.forEach(function(d,i) { | |
| opts.defaultColors[i] = new dimple.color(d); | |
| }) | |
| myChart.defaultColors = opts.defaultColors; | |
| } | |
| //do series | |
| //set up a function since same for each | |
| //as of now we have x,y,groups,data,type in opts for primary layer | |
| //and other layers reside in opts.layers | |
| function buildSeries(layer, hidden){ | |
| //inherit from primary layer if not intentionally changed or xAxis, yAxis, zAxis null | |
| if (!layer.xAxis) layer.xAxis = opts.xAxis; | |
| if (!layer.yAxis) layer.yAxis = opts.yAxis; | |
| if (!layer.zAxis) layer.zAxis = opts.zAxis; | |
| var x = buildAxis("x", layer); | |
| x.hidden = hidden; | |
| var y = buildAxis("y", layer); | |
| y.hidden = hidden; | |
| //z for bubbles | |
| var z = null; | |
| if (!(typeof(layer.zAxis) === 'undefined') && layer.zAxis.type){ | |
| z = buildAxis("z", layer); | |
| }; | |
| //here think I need to evaluate group and if missing do null | |
| //as the group argument | |
| //if provided need to use groups from layer | |
| var s = new dimple.series(myChart, null, x, y, z, c, dimple.plot[layer.type], dimple.aggregateMethod.avg, dimple.plot[layer.type].stacked); | |
| //as of v1.1.4 dimple can use different dataset for each series | |
| if(layer.data){ | |
| //convert to an array of objects | |
| var tempdata; | |
| //avoid lodash for now | |
| datakeys = d3.keys(layer.data) | |
| tempdata = layer.data[datakeys[1]].map(function(d,i){ | |
| var tempobj = {} | |
| datakeys.forEach(function(key){ | |
| tempobj[key] = layer.data[key][i] | |
| }) | |
| return tempobj | |
| }) | |
| s.data = tempdata; | |
| } | |
| if(layer.hasOwnProperty("groups")) { | |
| s.categoryFields = (typeof layer.groups === "object") ? layer.groups : [layer.groups]; | |
| //series offers an aggregate method that we will also need to check if available | |
| //options available are avg, count, max, min, sum | |
| } | |
| if (!(typeof(layer.aggregate) === 'undefined')) { | |
| s.aggregate = eval(layer.aggregate); | |
| } | |
| if (!(typeof(layer.lineWeight) === 'undefined')) { | |
| s.lineWeight = layer.lineWeight; | |
| } | |
| if (!(typeof(layer.barGap) === 'undefined')) { | |
| s.barGap = layer.barGap; | |
| } | |
| if (!(typeof(layer.interpolation) === 'undefined')) { | |
| s.interpolation = layer.interpolation; | |
| } | |
| /* if (!(typeof(layer.eventHandler) === 'undefined')) { | |
| layer.eventHandler = (layer.eventHandler.length === "undefined") ? layer.eventHandler : [layer.eventHandler]; | |
| layer.eventHandler.forEach(function(evt){ | |
| s.addEventHandler(evt.event, eval(evt.handler)) | |
| }) | |
| }*/ | |
| myChart.series.push(s); | |
| /*placeholder fix domain of primary scale for new series data | |
| //not working right now but something like this | |
| //for now just use overrideMin and overrideMax from rCharts | |
| for( var i = 0; i<2; i++) { | |
| if (!myChart.axes[i].overrideMin) { | |
| myChart.series[0]._axisBounds(i==0?"x":"y").min = myChart.series[0]._axisBounds(i==0?"x":"y").min < s._axisBounds(i==0?"x":"y").min ? myChart.series[0]._axisBounds(i==0?"x":"y").min : s._axisBounds(i==0?"x":"y").min; | |
| } | |
| if (!myChart.axes[i].overrideMax) { | |
| myChart.series[0]._axisBounds(i==0?"x":"y")._max = myChart.series[0]._axisBounds(i==0?"x":"y").max > s._axisBounds(i==0?"x":"y").max ? myChart.series[0]._axisBounds(i==0?"x":"y").max : s._axisBounds(i==0?"x":"y").max; | |
| } | |
| myChart.axes[i]._update(); | |
| } | |
| */ | |
| return s; | |
| }; | |
| buildSeries(opts, false); | |
| if (opts.layers.length > 0) { | |
| opts.layers.forEach(function(layer){ | |
| buildSeries(layer, true); | |
| }) | |
| } | |
| //unsure if this is best but if legend is provided (not empty) then evaluate | |
| if(d3.keys(opts.legend).length > 0) { | |
| var l =myChart.addLegend(); | |
| d3.keys(opts.legend).forEach(function(d){ | |
| l[d] = opts.legend[d]; | |
| }); | |
| } | |
| //quick way to get this going but need to make this cleaner | |
| if(opts.storyboard) { | |
| myChart.setStoryboard(opts.storyboard); | |
| }; | |
| myChart.draw(); | |
| return myChart; | |
| })(); | |
| </script> | |
| <script></script> | |
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