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84 lines
2.2 KiB
JavaScript
84 lines
2.2 KiB
JavaScript
function myScatterPlot() {
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var dataset = [[10, 15], [20, 20], [5, 20], [7, 4], [22, 6]];
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console.log("entering...");
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//debugger;
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d3.csv("./dataset.csv", function(error, data) {
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console.log("callback...")
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if (error)
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{
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console.log("callback error...")
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throw error;
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}
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var i=0;
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data.forEach(d => {
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d.x = +d.x;
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d.y = +d.y;
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//
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dataset[i][0] = d.x;
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dataset[i][1] = d.y;
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i++;
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});
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});
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// ?? why never plot using update csv data???
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console.log(dataset);
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// constants
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const WIDTH = 600;
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const HEIGHT = 600;
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const PADDING = 20;
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// setup data scaling to fit view
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// x-scale
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var xScale = d3.scaleLinear()
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.domain([0, d3.max(dataset, d => d[0])])
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.range([PADDING, WIDTH - PADDING]);
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// y-scale
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var yScale = d3.scaleLinear()
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.domain([0, d3.max(dataset, d => d[1])])
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.range([HEIGHT - PADDING, PADDING]); // reverse the range as view coordinate start from top-left
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// Create SVG element
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var svg = d3.select("body")
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.append("svg")
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.attr('width', WIDTH)
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.attr("height", HEIGHT);
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// create circle dot datapoint
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svg.selectAll("circle")
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.data(dataset)
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.enter()
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.append("circle")
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.attr("cx", pt => xScale(pt[0]))
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.attr("cy", pt => yScale(pt[1]))
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.attr("r", 5);
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// create label for each point
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svg.selectAll("text")
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.data(dataset)
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.enter()
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.append("text")
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.text(pt => `${pt[0]},${pt[1]}`)
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.attr("x", pt => xScale(pt[0]))
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.attr("y", pt => yScale(pt[1]))
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.attr("font-family", "sans-serif")
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.attr("font-size", "11px")
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.attr("fill", "red");
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// draw axes
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// x axis : transform drawing from top to bottom
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svg.append("g")
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.attr("transform", `translate(0,${HEIGHT-PADDING})`)
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.call(d3.axisBottom()
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.scale(xScale));
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// y axis : transform the drawing to display the scale number
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svg.append("g")
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.attr("transform", `translate(${PADDING},0)`)
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.call(d3.axisLeft()
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.scale(yScale));
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} |