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BlockSpring - Stream Graph, Extra Credit
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| { | |
| "appearance": { | |
| "colors": { | |
| "readable": "Colors", | |
| "category": "Colors", | |
| "placeholder": null, | |
| "values": ["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd", "#8c564b", "#e377c2", "#7f7f7f", "#bcbd22", "#17becf"], | |
| "description": "Sets the colors used in the graph. Each color will be used for 1 series. If you specify less colors than series, colors will be repeated.", | |
| "type": "multiple_colors_arbitrary" | |
| } | |
| }, | |
| "roles": { | |
| "streamHeight": { | |
| "allows_multiple": false, | |
| "required": true, | |
| "types": [ | |
| "number" | |
| ], | |
| "sample_columns": [ | |
| "clicks" | |
| ], | |
| "description": "Creates the stream." | |
| }, | |
| "series": { | |
| "allows_multiple": false, | |
| "required": true, | |
| "types": [ | |
| "string", | |
| "date", | |
| "number" | |
| ], | |
| "sample_columns": [ | |
| "subject" | |
| ], | |
| "description": "Creates multiple streams." | |
| }, | |
| "grafly_dropdowns": { | |
| "allows_multiple": true, | |
| "required": false, | |
| "types": [ | |
| "string", | |
| "date", | |
| "number" | |
| ], | |
| "sample_columns": [ | |
| "subject" | |
| ], | |
| "description": "dropdowns." | |
| } | |
| } | |
| } |
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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| margin: 0; | |
| } | |
| path { | |
| stroke: #000; | |
| fill-opacity: .8; | |
| } | |
| </style> | |
| <body> | |
| <div id="dropdowns"></div> | |
| <div id="chart"></div> | |
| <!-- Blockspring Boilerplate CSS --> | |
| <link rel="stylesheet" href="//www.blockspring.com/graph_templates/api_v1/boilerplate.css"> | |
| <!-- Blockspring Boilerplate JS --> | |
| <script src="//www.blockspring.com/graph_templates/api_v1/boilerplate.js"></script> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script> | |
| Block.ready(renderStream) | |
| function renderStream(){ | |
| // Update 0: Make width and height the whole page. | |
| var width = $(document).width(), | |
| height = $(document).height(); | |
| // Update Extra-Credit 2: Adjust height of graph if dropdowns and empty page. | |
| if (Block.vars.csv.columnRoleMap.grafly_dropdowns.length != 0){ | |
| height = height - 50; | |
| $("#chart").empty(); | |
| } | |
| // Update 1: Get CSV data from BlockSpring API (vars.csv.data) | |
| var csv = Block.vars.csv.data; | |
| // Update 2: Get headers from BlockSpring API (vars.csv.columnRoleMap) | |
| var streamHeightHeader = Block.vars.csv.columnRoleMap.streamHeight[0]; | |
| var seriesHeader = Block.vars.csv.columnRoleMap.series[0]; | |
| // Get unique list of series | |
| var uniqueSeries = findUniqueSeries(csv); | |
| var m = uniqueSeries.length; // number of series | |
| // Transform csv data | |
| var data = transformCSV(csv, uniqueSeries); | |
| var n = data[0].length; // number of values assuming each series has equal # of values. | |
| // set scales for x and y positions, and area size. | |
| var x = d3.scale.linear() | |
| .domain([0, n - 1]) | |
| .range([0, width]); | |
| var y = d3.scale.ordinal() | |
| .domain(d3.range(m)) | |
| .rangePoints([0, height], 1); | |
| var z = d3.scale.linear() | |
| .domain(d3.extent(csv, function(d){ return d[streamHeightHeader]; })) | |
| .range([0, height / (2*m)]); | |
| // Update Extra-Credit 1: Add colors as a variable configuration. | |
| // set scales for color. | |
| var color = d3.scale.ordinal() | |
| .range(Block.vars.colors); | |
| // instantiate area function. | |
| var area = d3.svg.area() | |
| .interpolate("basis") | |
| .x(function(d, i) { return x(i); }) | |
| .y0(function(d) { return -z(d); }) | |
| .y1(function(d) { return z(d); }); | |
| // add svg to dom. | |
| var svg = d3.select("#chart").append("svg") | |
| .attr("width", width) | |
| .attr("height", height); | |
| // add area plots to dom. | |
| svg.selectAll("path") | |
| .data(data) | |
| .enter().append("path") | |
| .attr("transform", function(d, i) { return "translate(0," + y(i) + ")"; }) | |
| .style("fill", function(d, i) { return color(i); }) | |
| .attr("d", area); | |
| function findUniqueSeries(csv){ | |
| // Get a unique list of series. | |
| var uniqueSeries = d3.set(csv.map(function(row){ | |
| return row[seriesHeader]; | |
| })).values(); | |
| return uniqueSeries; | |
| } | |
| function transformCSV(csv, uniqueSeries){ | |
| // Transform csv data into array of arrays. | |
| var dataObject = {}; | |
| uniqueSeries.forEach(function(series){ | |
| dataObject[series] = []; | |
| }) | |
| csv.forEach(function(row){ | |
| dataObject[row[seriesHeader]].push(row[streamHeightHeader]); | |
| }) | |
| return d3.values(dataObject); | |
| } | |
| } | |
| </script> |
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| clicks | subject | |
|---|---|---|
| 100 | dog video | |
| 80 | dog video | |
| 120 | dog video | |
| 130 | dog video | |
| 135 | dog video | |
| 80 | dog video | |
| 85 | dog video | |
| 145 | dog video | |
| 160 | dog video | |
| 90 | dog video | |
| 150 | cat video | |
| 120 | cat video | |
| 110 | cat video | |
| 130 | cat video | |
| 90 | cat video | |
| 100 | cat video | |
| 150 | cat video | |
| 120 | cat video | |
| 130 | cat video | |
| 125 | cat video |
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