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<!DOCTYPE html> |
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<meta charset="utf-8"> |
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<style> /* set the CSS */ |
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body { font: 12px Arial;} |
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path { |
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stroke: steelblue; |
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stroke-width: 2; |
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fill: none; |
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} |
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.axis path, |
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.axis line { |
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fill: none; |
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stroke: grey; |
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stroke-width: 1; |
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shape-rendering: crispEdges; |
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} |
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div.tooltip { |
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color: white; |
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position: absolute; |
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text-align: center; |
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width: 60px; |
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height: 28px; |
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padding: 2px; |
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font: 12px sans-serif; |
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background: rgba(0,0,0,.8); |
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border: 2px solid black; |
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pointer-events: none; |
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} |
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</style> |
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<body> |
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<!-- load the d3.js library --> |
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<script src="http://d3js.org/d3.v5.min.js"></script> |
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<script> |
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// Set the dimensions of the canvas / graph |
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const margin = { |
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top: 30, |
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right: 20, |
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bottom: 30, |
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left: 50 |
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}; |
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const width = 600 - margin.left - margin.right; |
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const height = 270 - margin.top - margin.bottom; |
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// Parse the date / time |
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const parseDate = d3.timeParse('%d-%b-%y'); |
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const formatTime = d3.timeFormat('%e %B'); |
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// Set the ranges |
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const x = d3.scaleTime().range([0, width]); |
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const y = d3.scaleLinear().range([height, 0]); |
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// Define the axes |
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const xAxis = d3.axisBottom(x).ticks(5); |
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const yAxis = d3.axisLeft(y) |
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.ticks(5); |
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// Define the line |
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const valueline = d3.line() |
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.x(d => x(d.date)) |
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.y(d => y(d.close)); |
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// Define the div for the tooltip |
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const div = d3 |
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.select('body') |
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.append('div') |
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.attr('class', 'tooltip') |
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.style('opacity', 0); |
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// Adds the svg canvas |
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const svg = d3 |
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.select('body') |
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.append('svg') |
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.attr('width', width + margin.left + margin.right) |
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.attr('height', height + margin.top + margin.bottom) |
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.append('g') |
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.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); |
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// Get the data |
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d3.csv('data.csv').then(data => { |
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data.forEach(d => { |
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d.date = parseDate(d.date); |
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d.close = +d.close; |
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}); |
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// Scale the range of the data |
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x.domain(d3.extent(data, d => d.date)); |
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y.domain([0, d3.max(data, d => d.close)]); |
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// Add the valueline path. |
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svg |
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.append('path') |
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.attr('class', 'line') |
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.attr('d', valueline(data)); |
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// Add the scatterplot |
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svg |
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.selectAll('dot') |
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.data(data) |
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.enter() |
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.append('circle') |
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.attr('r', 5) |
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.attr('cx', d => x(d.date)) |
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.attr('cy', d => y(d.close)) |
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.attr('stroke-width', '20px') |
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.attr('stroke', 'rgba(0,0,0,0)') |
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.style('cursor', 'pointer') |
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.on('mouseover', d => { |
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div |
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.transition() |
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.duration(200) |
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.style('opacity', 0.9); |
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div |
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.html(formatTime(d.date) + '<br/>' + d.close) |
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.style('left', d3.event.pageX + 'px') |
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.style('top', d3.event.pageY - 28 + 'px'); |
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}) |
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.on('mouseout', () => { |
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div |
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.transition() |
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.duration(500) |
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.style('opacity', 0); |
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}); |
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// Add the X Axis |
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svg |
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.append('g') |
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.attr('class', 'x axis') |
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.attr('transform', 'translate(0,' + height + ')') |
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.call(xAxis); |
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// Add the Y Axis |
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svg |
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.append('g') |
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.attr('class', 'y axis') |
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.call(yAxis); |
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}); |
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</script> |
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</body> |