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<html lang = "en"> <head> <meta charset = "utf-8"> <title>Scatterplot</title> <script src="https://d3js.org/d3.v5.min.js"></script> </head> <body> <script type = "text/javascript"> //width and height var w = 600; var h = 400; var padding = 40; /* var dataset; //load data d3.csv('weather.csv', function(d) { //data.forEach(function(d) { //dataset.push(d.precipitation); return { //max: d.Maximum, //min: d.Minimum, //month: d.Month, precipitation: d.Precipitation //speed: d.Speed, //state: d.State, //year: d.Year }; }, function(d) { dataset.push(d.precipitation); }); //var dataset = data.slice(0, numBars + 1); //max vs min var dataset = []; dataset.push([46, 32]); dataset.push([47, 31]); dataset.push([51, 41]); dataset.push([52, 38]); dataset.push([38, 29]); /* dataset = [{max: 46, min: 32}, {max: 47, min: 31}, {max: 51, min: 41}, {max: 52, min: 38}, {max: 38, min: 29}]; */ //scale function var xScale = d3.scaleLinear() //.domain(["Alabama","Alaska","Arizona","Arkansas","California"]) .domain([0, d3.max(dataset, function(d) { return d[0]; })]) //.range([padding, w-padding * 2]); .range([padding, w - padding * 2]); var yScale = d3.scaleLinear() .domain([0, d3.max(dataset, function(d) { return d[1]; })]) //.range([padding, w-padding * 2]); .range([h - padding, padding]); var xAxis = d3.axisBottom().scale(xScale).ticks(5); var yAxis = d3.axisLeft().scale(yScale).ticks(5); //create svg element var svg = d3.select("body") .append("svg") .attr("width", w) .attr("height", h); svg.selectAll("circle") .data(dataset) .enter() .append("circle") .attr("cx", function(d) { return xScale(d[0]); }) .attr("cy", function(d) { return h - yScale(d[1]); }) .attr("r", 5) .attr("fill", "green"); //x axis svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + (h - padding) + ")") .call(xAxis); //y axis svg.append("g") .attr("class", "y axis") .attr("transform", "translate(" + padding + ", 0)") .call(yAxis); </script> </body> </html>
https://d3js.org/d3.v5.min.js