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Data Vis. Summer 2020 || Lab 2 using D3 // source https://jsbin.com/yibufip
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width"> | |
| <title>DV2 - Lab</title> | |
| <script src="https://d3js.org/d3.v5.min.js"></script> | |
| <style id="jsbin-css"> | |
| #plotTitle { | |
| font-family: Helvetica; | |
| font-size: 16px; | |
| } | |
| .axisLabel { | |
| font-family: Helvetica; | |
| font-size: 14px; | |
| fill: Black; | |
| text-anchor: middle; | |
| } | |
| .legendText { | |
| font-family: Helvetica; | |
| font-size: 12px; | |
| } | |
| .tickLabel { | |
| font-family: Helvetica; | |
| font-size: 8px; | |
| } | |
| #background { | |
| fill: white; | |
| } | |
| #legendBox { | |
| fill: LightGray; | |
| stroke: black; | |
| } | |
| .tickMark { | |
| stroke: black; | |
| fill: none; | |
| } | |
| .dot,.legendItem { | |
| stroke: black; | |
| } | |
| .c2002 { | |
| fill: SteelBlue; | |
| } | |
| .c2004 { | |
| fill: SeaGreen; | |
| } | |
| .c2006 { | |
| fill: IndianRed; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="chart"></div> | |
| <script id="jsbin-javascript"> | |
| d3.csv('https://raw.githubusercontent.com/hvo/datasets/master/nyc_grads.csv') | |
| .then(grads => { | |
| var data = grads | |
| .filter(row => ((row.Type=='Borough Total') && | |
| (row.Cohort%2===0))) | |
| .map(row => [row.Advanced/row.Total*100, | |
| row.DroppedOut/row.Total*100, | |
| row.Cohort, | |
| row.Borough]); | |
| createPlot(data); | |
| }); | |
| function updateDots(data, canvas, x, y) { | |
| let dots = canvas.selectAll('.dot') | |
| .data(data, d => [d[2], d[3]]) | |
| dots.enter() | |
| .append('circle') | |
| .attr('cx', x(15)) | |
| .attr('cy', x(15)) | |
| .attr("class", d => `c${d[2]} dot`) | |
| .style('opacity', 0) | |
| .merge(dots) | |
| .transition().duration(1000) | |
| .attr("cx", d => x(d[0])) | |
| .attr("cy", d => y(d[1])) | |
| .attr("r", 5) | |
| .style('opacity', 1); | |
| dots.exit() | |
| .transition().duration(1000) | |
| .style('opacity', 0); | |
| } | |
| function createPlot(data) { | |
| const canvasSize = [400, 400]; | |
| const tickSize = 5; | |
| const pArea = [50, 30, 390, 360]; | |
| const pSize = [pArea[2]-pArea[0], pArea[3]-pArea[1]]; | |
| var chart = d3.select("#chart"); | |
| var canvas = chart.append("svg") | |
| .attr("width",canvasSize[0]) | |
| .attr("height", canvasSize[1]); | |
| canvas.append("text") | |
| .attr("id", "plotTitle") | |
| .attr("x", 90) | |
| .attr("y", 25) | |
| .text("NYC High School Graduate Statistics"); | |
| canvas.append("rect") | |
| .attr("id", "background") | |
| .attr("x", pArea[0]) | |
| .attr("y", pArea[1]) | |
| .attr("width", pSize[0]) | |
| .attr("height", pSize[1]) | |
| .on('click', () => { | |
| updateDots(data, canvas, x, y) | |
| }); | |
| var x = d3.scaleLinear() | |
| .domain([0, 30]) | |
| .range([pArea[0], pArea[2]]); | |
| var y = d3.scaleLinear() | |
| .domain([0, 30]) | |
| .range([pArea[3], pArea[1]]); | |
| canvas.append("rect") | |
| .attr("id", "legendBox") | |
| .attr("x", pArea[2]-65) | |
| .attr("y", pArea[1]+5) | |
| .attr("width", 60) | |
| .attr("height", 60); | |
| let cohorts = [2002,2004,2006]; | |
| let legendGroups = canvas.selectAll('.legendGroup') | |
| .data(cohorts) | |
| .enter().append('g') | |
| .on('click', d => { | |
| let filteredData = data.filter(row => row[2] == d); | |
| updateDots(filteredData, canvas, x, y); | |
| }); | |
| legendGroups.append('rect') | |
| .attr("class", d => `c${d} legendItem`) | |
| .attr("x", pArea[2]-60) | |
| .attr("y", (d, i) => (pArea[1]+10+i*20)) | |
| .attr("width", 10) | |
| .attr('height', 10); | |
| // below is another way of doing above section of code | |
| // canvas.selectAll('.legendItem') | |
| // .data(cohorts) | |
| // .enter() | |
| // .append('rect') | |
| // .attr("class", d => `c${d} legendItem`) | |
| // .attr("x", pArea[2]-60) | |
| // .attr("y", (d, i) => (pArea[1]+10+i*20)) | |
| // .attr("width", 10) | |
| // .attr('height', 10); | |
| legendGroups.append('text') | |
| .attr("class", 'legendText') | |
| .attr("x", pArea[2]-40) | |
| .attr("y", (d, i) => (pArea[1]+19+i*20)) | |
| .text(d => d); | |
| // below is another way of doing above section of code | |
| // canvas.selectAll('.legendText') | |
| // .data(cohorts) | |
| // .enter() | |
| // .append('text') | |
| // .attr("class", 'legendText') | |
| // .attr("x", pArea[2]-40) | |
| // .attr("y", (d, i) => (pArea[1]+19+i*20)) | |
| // .text(d => d); | |
| canvas.append('g') | |
| .attr('class', 'axis axis--x') | |
| .attr('transform', `translate(0,${pArea[3]})`) | |
| .call(d3.axisBottom(x).ticks(5, 'I')) | |
| .append('text') | |
| .attr('class', 'axisLabel') | |
| .attr('x', (x.range()[0]+x.range()[1])*0.5) | |
| .attr('y', 30) | |
| .text('Advanced Regents (%)'); | |
| canvas.append('g') | |
| .attr('class', 'axis axis--y') | |
| .attr('transform', `translate(${pArea[0]},0)`) | |
| .call(d3.axisLeft(y).ticks(5, 'I')) | |
| .append('text') | |
| .attr('class', 'axisLabel') | |
| .attr('transform', 'rotate(-90)') | |
| .attr('x', -(y.range()[0]+y.range()[1])*0.5) | |
| .attr('y', -25) | |
| .text('Dropped Out (%)'); | |
| updateDots(data, canvas, x, y) | |
| } | |
| </script> | |
| </body> | |
| </html> |
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| #plotTitle { | |
| font-family: Helvetica; | |
| font-size: 16px; | |
| } | |
| .axisLabel { | |
| font-family: Helvetica; | |
| font-size: 14px; | |
| fill: Black; | |
| text-anchor: middle; | |
| } | |
| .legendText { | |
| font-family: Helvetica; | |
| font-size: 12px; | |
| } | |
| .tickLabel { | |
| font-family: Helvetica; | |
| font-size: 8px; | |
| } | |
| #background { | |
| fill: white; | |
| } | |
| #legendBox { | |
| fill: LightGray; | |
| stroke: black; | |
| } | |
| .tickMark { | |
| stroke: black; | |
| fill: none; | |
| } | |
| .dot,.legendItem { | |
| stroke: black; | |
| } | |
| .c2002 { | |
| fill: SteelBlue; | |
| } | |
| .c2004 { | |
| fill: SeaGreen; | |
| } | |
| .c2006 { | |
| fill: IndianRed; | |
| } |
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| d3.csv('https://raw.githubusercontent.com/hvo/datasets/master/nyc_grads.csv') | |
| .then(grads => { | |
| var data = grads | |
| .filter(row => ((row.Type=='Borough Total') && | |
| (row.Cohort%2===0))) | |
| .map(row => [row.Advanced/row.Total*100, | |
| row.DroppedOut/row.Total*100, | |
| row.Cohort, | |
| row.Borough]); | |
| createPlot(data); | |
| }); | |
| function updateDots(data, canvas, x, y) { | |
| let dots = canvas.selectAll('.dot') | |
| .data(data, d => [d[2], d[3]]) | |
| dots.enter() | |
| .append('circle') | |
| .attr('cx', x(15)) | |
| .attr('cy', x(15)) | |
| .attr("class", d => `c${d[2]} dot`) | |
| .style('opacity', 0) | |
| .merge(dots) | |
| .transition().duration(1000) | |
| .attr("cx", d => x(d[0])) | |
| .attr("cy", d => y(d[1])) | |
| .attr("r", 5) | |
| .style('opacity', 1); | |
| dots.exit() | |
| .transition().duration(1000) | |
| .style('opacity', 0); | |
| } | |
| function createPlot(data) { | |
| const canvasSize = [400, 400]; | |
| const tickSize = 5; | |
| const pArea = [50, 30, 390, 360]; | |
| const pSize = [pArea[2]-pArea[0], pArea[3]-pArea[1]]; | |
| var chart = d3.select("#chart"); | |
| var canvas = chart.append("svg") | |
| .attr("width",canvasSize[0]) | |
| .attr("height", canvasSize[1]); | |
| canvas.append("text") | |
| .attr("id", "plotTitle") | |
| .attr("x", 90) | |
| .attr("y", 25) | |
| .text("NYC High School Graduate Statistics"); | |
| canvas.append("rect") | |
| .attr("id", "background") | |
| .attr("x", pArea[0]) | |
| .attr("y", pArea[1]) | |
| .attr("width", pSize[0]) | |
| .attr("height", pSize[1]) | |
| .on('click', () => { | |
| updateDots(data, canvas, x, y) | |
| }); | |
| var x = d3.scaleLinear() | |
| .domain([0, 30]) | |
| .range([pArea[0], pArea[2]]); | |
| var y = d3.scaleLinear() | |
| .domain([0, 30]) | |
| .range([pArea[3], pArea[1]]); | |
| canvas.append("rect") | |
| .attr("id", "legendBox") | |
| .attr("x", pArea[2]-65) | |
| .attr("y", pArea[1]+5) | |
| .attr("width", 60) | |
| .attr("height", 60); | |
| let cohorts = [2002,2004,2006]; | |
| let legendGroups = canvas.selectAll('.legendGroup') | |
| .data(cohorts) | |
| .enter().append('g') | |
| .on('click', d => { | |
| let filteredData = data.filter(row => row[2] == d); | |
| updateDots(filteredData, canvas, x, y); | |
| }); | |
| legendGroups.append('rect') | |
| .attr("class", d => `c${d} legendItem`) | |
| .attr("x", pArea[2]-60) | |
| .attr("y", (d, i) => (pArea[1]+10+i*20)) | |
| .attr("width", 10) | |
| .attr('height', 10); | |
| // below is another way of doing above section of code | |
| // canvas.selectAll('.legendItem') | |
| // .data(cohorts) | |
| // .enter() | |
| // .append('rect') | |
| // .attr("class", d => `c${d} legendItem`) | |
| // .attr("x", pArea[2]-60) | |
| // .attr("y", (d, i) => (pArea[1]+10+i*20)) | |
| // .attr("width", 10) | |
| // .attr('height', 10); | |
| legendGroups.append('text') | |
| .attr("class", 'legendText') | |
| .attr("x", pArea[2]-40) | |
| .attr("y", (d, i) => (pArea[1]+19+i*20)) | |
| .text(d => d); | |
| // below is another way of doing above section of code | |
| // canvas.selectAll('.legendText') | |
| // .data(cohorts) | |
| // .enter() | |
| // .append('text') | |
| // .attr("class", 'legendText') | |
| // .attr("x", pArea[2]-40) | |
| // .attr("y", (d, i) => (pArea[1]+19+i*20)) | |
| // .text(d => d); | |
| canvas.append('g') | |
| .attr('class', 'axis axis--x') | |
| .attr('transform', `translate(0,${pArea[3]})`) | |
| .call(d3.axisBottom(x).ticks(5, 'I')) | |
| .append('text') | |
| .attr('class', 'axisLabel') | |
| .attr('x', (x.range()[0]+x.range()[1])*0.5) | |
| .attr('y', 30) | |
| .text('Advanced Regents (%)'); | |
| canvas.append('g') | |
| .attr('class', 'axis axis--y') | |
| .attr('transform', `translate(${pArea[0]},0)`) | |
| .call(d3.axisLeft(y).ticks(5, 'I')) | |
| .append('text') | |
| .attr('class', 'axisLabel') | |
| .attr('transform', 'rotate(-90)') | |
| .attr('x', -(y.range()[0]+y.range()[1])*0.5) | |
| .attr('y', -25) | |
| .text('Dropped Out (%)'); | |
| updateDots(data, canvas, x, y) | |
| } |
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