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Duck Similarity (Galileo)
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| svg = d3.select('svg') | |
| width = svg.node().getBoundingClientRect().width | |
| height = svg.node().getBoundingClientRect().height | |
| simcolor = d3.scale.linear() | |
| .domain([0,1]) | |
| .range([d3.hcl(20,0,100),d3.hcl(20,75,25)]) | |
| .interpolate(d3.interpolateHcl) | |
| matrix = svg.append('g') | |
| .attr('transform', 'translate(360,140)') | |
| SIZE = 13 | |
| d3.json '//wafi.iit.cnr.it/webvis/tmp/dbpedia/galileo_matrix.json', (data) -> | |
| index = {} | |
| items = [] | |
| data.forEach (e1) -> | |
| items.push e1.k1 | |
| index[e1.k1] = {} | |
| e1.similarities.forEach (e2) -> | |
| index[e1.k1][e2.k2] = e2.sim | |
| console.debug 'Computing hierarchical clustering...' | |
| clusters = clusterfck.hcluster( | |
| items, | |
| (a,b) -> 1-index[a][b], | |
| clusterfck.SINGLE_LINKAGE | |
| ) | |
| tree = tree_utils.binary_to_std(clusters) | |
| sequence = tree_utils.get_leaves(tree).map (d) -> d.value | |
| matrix_data = [] | |
| sequence.forEach (k1) -> | |
| e1 = {k1: k1, similarities: []} | |
| matrix_data.push e1 | |
| sequence.forEach (k2) -> | |
| e1.similarities.push {k2: k2, sim: index[k1][k2]} | |
| rows = matrix.selectAll('.row') | |
| .data(matrix_data) | |
| enter_rows = rows.enter().append('g') | |
| .attr('class', 'row') | |
| .attr('transform', (d,i) -> "translate(0,#{SIZE*i})") | |
| cells = rows.selectAll('.cell') | |
| .data((row) -> row.similarities) | |
| cells.enter().append('rect') | |
| .attr('class', 'cell') | |
| .attr('width', SIZE) | |
| .attr('height', SIZE) | |
| .attr('transform', (d, i) -> "translate(#{SIZE*i},0)") | |
| .attr('fill', (d) -> simcolor(d.sim)) | |
| .append('title') | |
| .text((d) -> | |
| k1 = d3.select(this.parentNode.parentNode).datum().k1.replace('http://dbpedia.org/resource/','') | |
| k2 = d.k2.replace('http://dbpedia.org/resource/','') | |
| return "#{k1}\n [#{d3.format('%')(d.sim)}]\n#{k2}" | |
| ) | |
| matrix.append('rect') | |
| .attr('class','border') | |
| .attr('x', -1) | |
| .attr('y', -1) | |
| .attr('width', SIZE*matrix_data.length+2) | |
| .attr('height', SIZE*matrix_data.length+2) | |
| hlabels = matrix.selectAll('.hlabel') | |
| .data(matrix_data) | |
| hlabels.enter().append('a') | |
| .attr('xlink:href', (d) -> d.k1) | |
| .append('text') | |
| .attr('class','hlabel') | |
| .text((d) -> d.k1.replace('http://dbpedia.org/resource/','')) | |
| .attr('transform', (d,i) -> "translate(0,#{SIZE*i})") | |
| .attr('dy', '1em') | |
| .attr('dx', -6) | |
| .classed('highlighted', (d) -> d.k1 is 'http://dbpedia.org/resource/Galileo_Galilei') | |
| vlabels = matrix.selectAll('.vlabel') | |
| .data(matrix_data) | |
| vlabels.enter().append('a') | |
| .attr('xlink:href', (d) -> d.k1) | |
| .append('text') | |
| .attr('class','vlabel') | |
| .text((d) -> d.k1.replace('http://dbpedia.org/resource/','')) | |
| .attr('transform', (d,i) -> "translate(#{SIZE*i},0) rotate(-90)") | |
| .attr('dy', '1em') | |
| .attr('dx', 6) | |
| .classed('highlighted', (d) -> d.k1 is 'http://dbpedia.org/resource/Galileo_Galilei') | |
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| svg { | |
| background: white; | |
| } | |
| .border { | |
| stroke-width: 1; | |
| stroke: #CCC; | |
| fill: none; | |
| shape-rendering: crispEdges; | |
| } | |
| .cell { | |
| stroke-width: 1; | |
| stroke: white; | |
| shape-rendering: crispEdges; | |
| } | |
| .hlabel, .vlabel { | |
| fill: #333; | |
| font-family: sans-serif; | |
| font-size: 10px; | |
| } | |
| .hlabel { | |
| text-anchor: end; | |
| } | |
| .vlabel { | |
| text-anchor: start; | |
| } | |
| .highlighted { | |
| font-weight: bold; | |
| fill: black; | |
| } | |
| .hlabel:hover, .vlabel:hover { | |
| fill: red; | |
| } |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="description" content="Duck Similarity (Galileo)" /> | |
| <title>Duck Similarity (Galileo)</title> | |
| <link type="text/css" href="index.css" rel="stylesheet"/> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script src="//wafi.iit.cnr.it/webvis/tmp/clusterfck.js"></script> | |
| <script src="//wafi.iit.cnr.it/webvis/libs/jigmaps/zip.js"></script> | |
| <script src="//wafi.iit.cnr.it/webvis/libs/jigmaps/tree_utils.js"></script> | |
| </head> | |
| <body> | |
| <svg height="500" width="960"></svg> | |
| <script src="index.js"></script> | |
| </body> | |
| </html> |
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| (function() { | |
| var SIZE, height, matrix, simcolor, svg, width; | |
| svg = d3.select('svg'); | |
| width = svg.node().getBoundingClientRect().width; | |
| height = svg.node().getBoundingClientRect().height; | |
| simcolor = d3.scale.linear().domain([0, 1]).range([d3.hcl(20, 0, 100), d3.hcl(20, 75, 25)]).interpolate(d3.interpolateHcl); | |
| matrix = svg.append('g').attr('transform', 'translate(360,140)'); | |
| SIZE = 13; | |
| d3.json('//wafi.iit.cnr.it/webvis/tmp/dbpedia/galileo_matrix.json', function(data) { | |
| var cells, clusters, enter_rows, hlabels, index, items, matrix_data, rows, sequence, tree, vlabels; | |
| index = {}; | |
| items = []; | |
| data.forEach(function(e1) { | |
| items.push(e1.k1); | |
| index[e1.k1] = {}; | |
| return e1.similarities.forEach(function(e2) { | |
| return index[e1.k1][e2.k2] = e2.sim; | |
| }); | |
| }); | |
| console.debug('Computing hierarchical clustering...'); | |
| clusters = clusterfck.hcluster(items, function(a, b) { | |
| return 1 - index[a][b]; | |
| }, clusterfck.SINGLE_LINKAGE); | |
| tree = tree_utils.binary_to_std(clusters); | |
| sequence = tree_utils.get_leaves(tree).map(function(d) { | |
| return d.value; | |
| }); | |
| matrix_data = []; | |
| sequence.forEach(function(k1) { | |
| var e1; | |
| e1 = { | |
| k1: k1, | |
| similarities: [] | |
| }; | |
| matrix_data.push(e1); | |
| return sequence.forEach(function(k2) { | |
| return e1.similarities.push({ | |
| k2: k2, | |
| sim: index[k1][k2] | |
| }); | |
| }); | |
| }); | |
| rows = matrix.selectAll('.row').data(matrix_data); | |
| enter_rows = rows.enter().append('g').attr('class', 'row').attr('transform', function(d, i) { | |
| return "translate(0," + (SIZE * i) + ")"; | |
| }); | |
| cells = rows.selectAll('.cell').data(function(row) { | |
| return row.similarities; | |
| }); | |
| cells.enter().append('rect').attr('class', 'cell').attr('width', SIZE).attr('height', SIZE).attr('transform', function(d, i) { | |
| return "translate(" + (SIZE * i) + ",0)"; | |
| }).attr('fill', function(d) { | |
| return simcolor(d.sim); | |
| }).append('title').text(function(d) { | |
| var k1, k2; | |
| k1 = d3.select(this.parentNode.parentNode).datum().k1.replace('http://dbpedia.org/resource/', ''); | |
| k2 = d.k2.replace('http://dbpedia.org/resource/', ''); | |
| return "" + k1 + "\n [" + (d3.format('%')(d.sim)) + "]\n" + k2; | |
| }); | |
| matrix.append('rect').attr('class', 'border').attr('x', -1).attr('y', -1).attr('width', SIZE * matrix_data.length + 2).attr('height', SIZE * matrix_data.length + 2); | |
| hlabels = matrix.selectAll('.hlabel').data(matrix_data); | |
| hlabels.enter().append('a').attr('xlink:href', function(d) { | |
| return d.k1; | |
| }).append('text').attr('class', 'hlabel').text(function(d) { | |
| return d.k1.replace('http://dbpedia.org/resource/', ''); | |
| }).attr('transform', function(d, i) { | |
| return "translate(0," + (SIZE * i) + ")"; | |
| }).attr('dy', '1em').attr('dx', -6).classed('highlighted', function(d) { | |
| return d.k1 === 'http://dbpedia.org/resource/Galileo_Galilei'; | |
| }); | |
| vlabels = matrix.selectAll('.vlabel').data(matrix_data); | |
| return vlabels.enter().append('a').attr('xlink:href', function(d) { | |
| return d.k1; | |
| }).append('text').attr('class', 'vlabel').text(function(d) { | |
| return d.k1.replace('http://dbpedia.org/resource/', ''); | |
| }).attr('transform', function(d, i) { | |
| return "translate(" + (SIZE * i) + ",0) rotate(-90)"; | |
| }).attr('dy', '1em').attr('dx', 6).classed('highlighted', function(d) { | |
| return d.k1 === 'http://dbpedia.org/resource/Galileo_Galilei'; | |
| }); | |
| }); | |
| }).call(this); |
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