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<!DOCTYPE html> |
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<html> |
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<head> |
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<meta charset="utf-8"> |
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<meta name="viewport" content="width=device-width"> |
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<script src="https://d3js.org/d3.v4.min.js"></script> |
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<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/2.24.0/d3-legend.min.js"></script> |
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<title>Basic Scatter Plot</title> |
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<style> |
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body { |
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margin: 0px; |
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} |
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.domain { |
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display: none; |
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} |
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.tick line { |
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stroke: #C0C0BB; |
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} |
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.tick text, .legendCells text { |
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fill: #8E8883; |
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font-size: 12pt; |
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font-family: calibri; |
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} |
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.axis-label, .legend-label { |
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fill: #635F5D; |
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font-size: 20pt; |
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font-family: calibri; |
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} |
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</style> |
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</head> |
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<body> |
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<svg width="960" height="500"></svg> |
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<script> |
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const xValue = d => d.problemsCompleted; |
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const xLabel = 'Number of Problems Completed'; |
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const yValue = d => d.value; |
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const yLabel = 'Value'; |
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const colorValue = d => d.category; |
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const colorLabel = 'Learning Components'; |
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const margin = { left: 120, right: 300, top: 20, bottom: 220 }; |
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const svg = d3.select('svg'); |
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const width = svg.attr('width'); |
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const height = svg.attr('height'); |
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const innerWidth = width - margin.left - margin.right; |
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const innerHeight = height - margin.top - margin.bottom; |
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const g = svg.append('g') |
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.attr('transform', `translate(${margin.left},${margin.top})`); |
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const xAxisG = g.append('g') |
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.attr('transform', `translate(0, ${innerHeight})`); |
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const yAxisG = g.append('g'); |
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const colorLegendG = g.append('g') |
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.attr('transform', `translate(${innerWidth + 60}, 150)`); |
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xAxisG.append('text') |
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.attr('class', 'axis-label') |
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.attr('x', innerWidth / 2) |
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.attr('y', 100) |
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.text(xLabel); |
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yAxisG.append('text') |
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.attr('class', 'axis-label') |
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.attr('x', -innerHeight / 2) |
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.attr('y', -60) |
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.attr('transform', `rotate(-90)`) |
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.style('text-anchor', 'middle') |
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.text(yLabel); |
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colorLegendG.append('text') |
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.attr('class', 'legend-label') |
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.attr('x', -30) |
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.attr('y', -40) |
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.text(colorLabel) |
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.text(function(d) { return d; }); |
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const xScale = d3.scaleLinear(); |
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const yScale = d3.scaleLinear(); |
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const colorScale = d3.scaleOrdinal() |
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.range(d3.schemeCategory10); |
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// .domain(["correct", "MCAS Score", "time", "attempts", "hints"]) |
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//.range(["#ff4800", "#009933" , "#0000FF", "#ff00a9","#ffd000"]); |
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const xAxis = d3.axisBottom() |
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.scale(xScale) |
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.tickPadding(15) |
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.tickSize(-innerHeight); |
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const yAxis = d3.axisLeft() |
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.scale(yScale) |
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.ticks(5) |
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.tickPadding(15) |
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.tickSize(-innerWidth); |
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const colorLegend = d3.legendColor() |
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.scale(colorScale) |
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.shape('rect') |
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// .orient('horizontal') |
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// .labelWrap(30) |
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// .shapeWidth(40) |
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// .labelAlign("start") |
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// .shapePadding(15) |
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; |
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colorLegendG.append('rect') |
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.style ("cursor", "pointer") |
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; |
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// .on("click", function (d) { |
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// dot.filter(function () { |
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// return this.dataset.category === d; |
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// }) |
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// .transition().duration(750) |
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// .style("opacity", function () { |
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// console.log(this.style.opacity); |
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// return (parseInt(this.style.opacity)) ? 0 : 1; |
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// }); |
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// }); |
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const row = d => { |
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d.problemsCompleted = +d.problemsCompleted; |
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d.value = +d.value; |
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return d; |
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}; |
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d3.csv('itsLearning.csv', row, data => { |
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xScale |
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.domain(d3.extent(data, xValue)) |
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.range([0, innerWidth]) |
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.nice(); |
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yScale |
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.domain(d3.extent(data, yValue)) |
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.range([innerHeight, 0]) |
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.nice(); |
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g.selectAll('circle').data(data) |
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.enter().append('circle') |
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.attr('cx', d => xScale(xValue(d))) |
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.attr('cy', d => yScale(yValue(d))) |
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.attr('fill', d => colorScale(colorValue(d))) |
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.attr('fill-opacity', 0.9) |
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.attr('stroke', 'black') |
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.attr('r', 4) |
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; |
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xAxisG.call(xAxis); |
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yAxisG.call(yAxis); |
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colorLegendG.call(colorLegend) |
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.selectAll('.cell text') |
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.attr('dy', '0.1em'); |
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}); |
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</script> |
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</body> |
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</html> |
