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<!DOCTYPE html> <head> <meta charset="utf-8"> <script src="https://d3js.org/d3.v4.min.js"></script> <style> body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; } .chart { background: lightgray; border: 1px solid black; } </style> </head> <body> <div class="chart"></div> <script> var margin = { top: 10, right: 10, bottom: 25, left: 25} var width = 425 - margin.left - margin.right; var height = 625 - margin.top - margin.bottom; var svg = d3.select('.chart') .append('svg') .attr('width', width + margin.left + margin.right) .attr('height', height + margin.top + margin.bottom) .call(responsivefy) .append('g') .attr('transform', `translate(${margin.left}, ${margin.top})`) var data = [ { "country": "United States", "population": 323050000, "expectancy": 78.94, "cost": 9024.21, "code": "US" }, { "country": "Switzerland", "population": 8306200, "expectancy": 82.85, "cost": 6786.57, "code": "CH" }, { "country": "Norway", "population": 5213985, "expectancy": 81.75, "cost": 6081, "code": "NO" }, { "country": "Netherlands", "population": 16998003, "expectancy": 81.3, "cost": 5276.6, "code": "NL" }, { "country": "Germany", "population": 81459000, "expectancy": 80.84, "cost": 5119.21, "code": "DE" }, { "country": "Sweden", "population": 9858794, "expectancy": 81.96, "cost": 5065.16, "code": "SE" }, { "country": "Ireland", "population": 4635400, "expectancy": 81.15, "cost": 5001.32, "code": "IE" }, { "country": "Austria", "population": 8699730, "expectancy": 81.34, "cost": 4896, "code": "AT" }, { "country": "Denmark", "population": 5707251, "expectancy": 80.55, "cost": 4857.03, "code": "DK" }, { "country": "Belgium", "population": 11306030, "expectancy": 80.59, "cost": 4522.04, "code": "BE" }, { "country": "Canada", "population": 35985751, "expectancy": 81.96, "cost": 4495.69, "code": "CA" }, { "country": "Luxembourg", "population": 562, "expectancy": 82.21, "cost": 4478.97, "code": "LU" }, { "country": "France", "population": 64513242, "expectancy": 82.37, "cost": 4366.99, "code": "FR" }, { "country": "Australia", "population": 24026900, "expectancy": 82.25, "cost": 4206.85, "code": "AU" }, { "country": "Japan", "population": 126810000, "expectancy": 83.59, "cost": 4152.37, "code": "JP" }, { "country": "United Kingdom", "population": 65097000, "expectancy": 81.06, "cost": 3971.39, "code": "UK" }, { "country": "Iceland", "population": 332, "expectancy": 82.06, "cost": 3896.93, "code": "IS" }, { "country": "Finland", "population": 5490750, "expectancy": 81.13, "cost": 3871.39, "code": "FI" }, { "country": "New Zealand", "population": 4671020, "expectancy": 81.4, "cost": 3537.26, "code": "NZ" }, { "country": "Italy", "population": 60676361, "expectancy": 82.69, "cost": 3206.83, "code": "IT" }, { "country": "Spain", "population": 46423064, "expectancy": 83.08, "cost": 3053.07, "code": "ES" }, { "country": "Slovenia", "population": 2069982, "expectancy": 80.52, "cost": 2598.91, "code": "SI" }, { "country": "Portugal", "population": 10374822, "expectancy": 80.72, "cost": 2583.84, "code": "PT" }, { "country": "Israel", "population": 8476600, "expectancy": 82.15, "cost": 2547.4, "code": "IL" }, { "country": "Czech Republic", "population": 10546120, "expectancy": 78.28, "cost": 2386.34, "code": "CZ" }, { "country": "South Korea", "population": 51555409, "expectancy": 82.16, "cost": 2361.44, "code": "KR" }, { "country": "Greece", "population": 10846979, "expectancy": 81.29, "cost": 2220.11, "code": "GR" }, { "country": "Slovakia", "population": 5424058, "expectancy": 76.71, "cost": 1970.52, "code": "SK" }, { "country": "Hungary", "population": 9849000, "expectancy": 75.87, "cost": 1796.6, "code": "HU" }, { "country": "Estonia", "population": 1311759, "expectancy": 77.24, "cost": 1724.51, "code": "EE" }, { "country": "Lithuania", "population": 2881705, "expectancy": 73.97, "cost": 1720.84, "code": "LT" }, { "country": "Chile", "population": 18191900, "expectancy": 81.5, "cost": 1688.52, "code": "CL" }, { "country": "Poland", "population": 38484000, "expectancy": 77.25, "cost": 1624.87, "code": "PL" }, { "country": "Costa Rica", "population": 4832234, "expectancy": 79.4, "cost": 1393.95, "code": "CR" }, { "country": "Russia", "population": 146544710, "expectancy": 70.37, "cost": 1368.75, "code": "RU" }, { "country": "Latvia", "population": 1968600, "expectancy": 74.19, "cost": 1295.01, "code": "LV" }, { "country": "South Africa", "population": 54956900, "expectancy": 57.18, "cost": 1146.47, "code": "ZA" }, { "country": "Mexico", "population": 122273500, "expectancy": 76.72, "cost": 1052.66, "code": "MX" }, { "country": "Turkey", "population": 78741053, "expectancy": 75.16, "cost": 990.19, "code": "TR" }, { "country": "Colombia", "population": 48570200, "expectancy": 73.99, "cost": 964.5, "code": "CO" }, { "country": "China", "population": 1375410000, "expectancy": 75.78, "cost": 730.52, "code": "CN" }, { "country": "Indonesia", "population": 258705000, "expectancy": 68.89, "cost": 302.12, "code": "ID" }, { "country": "India", "population": 1285930000, "expectancy": 68.01, "cost": 267.41, "code": "IN" } ] var xScale = d3.scaleLinear() .domain(d3.extent(data, d => d.cost)) .range([0, width]) .nice() var xAxis = d3.axisBottom(xScale) svg.append('g') .attr('transform', `translate(0, ${height})`) .call(xAxis) var yScale = d3.scaleLinear() .domain(d3.extent(data, d => d.expectancy)) .range([height, 0]) .nice() var yAxis = d3.axisLeft(yScale) svg.append('g') .attr('transform', `translate(${margin.left}, ${margin.top})`) .call(yAxis) // var yScale = d3.scaleLinear() // .domain(d3.extent(data, d => d.expectancy)) // .range([height, 0]) // .nice(); // var yAxis = d3.axisLeft(yScale); // svg.call(yAxis); // var xScale = d3.scaleLinear() // .domain(d3.extent(data, d => d.cost)) // .range([0, width]) // .nice(); // var xAxis = d3.axisBottom(xScale) // .ticks(5); // svg // .append('g') // .attr('transform', `translate(0, ${height})`) // .call(xAxis); // var rScale = d3.scaleSqrt() // .domain([0, d3.max(data, d => d.population)]) // .range([0, 40]); // var circles = svg // .selectAll('.ball') // .data(data) // .enter() // .append('g') // .attr('class', 'ball') // .attr('transform', d => { // return `translate(${xScale(d.cost)}, ${yScale(d.expectancy)})`; // }); // circles // .append('circle') // .attr('cx', 0) // .attr('cy', 0) // .attr('r', d => rScale(d.population)) // .style('fill-opacity', 0.5) // .style('fill', 'steelblue'); // circles // .append('text') // .style('text-anchor', 'middle') // .style('fill', 'black') // .attr('y', 4) // .text(d => d.code); function responsivefy(svg) { // get container + svg aspect ratio var container = d3.select(svg.node().parentNode), width = parseInt(svg.style("width")), height = parseInt(svg.style("height")), aspect = width / height; // add viewBox and preserveAspectRatio properties, // and call resize so that svg resizes on inital page load svg.attr("viewBox", "0 0 " + width + " " + height) .attr("preserveAspectRatio", "xMinYMid") .call(resize); // to register multiple listeners for same event type, // you need to add namespace, i.e., 'click.foo' // necessary if you call invoke this function for multiple svgs // api docs: https://github.com/mbostock/d3/wiki/Selections#on d3.select(window).on("resize." + container.attr("id"), resize); // get width of container and resize svg to fit it function resize() { var targetWidth = parseInt(container.style("width")); svg.attr("width", targetWidth); svg.attr("height", Math.round(targetWidth / aspect)); } } </script> </body>
https://d3js.org/d3.v4.min.js