updated axis labels and other minor changes
This commit is contained in:
dlawler489
parent
effcec3bef
commit
ab0443461c
3 changed files with 502 additions and 173 deletions
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@ -1,6 +1,9 @@
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/* Base body styles */
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body {
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font-family: sans-serif;
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}
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/* Chart bars */
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.bar {
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opacity: 0.8;
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transition: opacity 0.3s;
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@ -8,10 +11,14 @@ body {
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.bar:hover {
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opacity: 1;
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}
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/* Axis labels */
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.axis-label {
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font-size: 14px;
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font-weight: bold;
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}
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/* Tooltip styles */
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.tooltip {
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position: absolute;
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padding: 6px;
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@ -24,13 +31,19 @@ body {
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opacity: 0;
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transition: all 0.3s ease;
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}
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/* Controls section (dropdowns and buttons) */
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.controls {
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margin-bottom: 20px;
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}
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/* Dropdown (select) styling */
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select {
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margin-right: 10px;
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padding: 5px;
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}
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/* Buttons styling */
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button {
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margin: 5px;
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padding: 8px 12px;
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@ -44,6 +57,8 @@ body {
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button:hover {
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background-color: #3a5f8c;
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}
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/* Legend area */
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.legend {
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margin-top: 20px;
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}
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@ -59,11 +74,24 @@ body {
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margin-right: 5px;
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vertical-align: middle;
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}
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/* Loading message */
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#loading {
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font-size: 18px;
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text-align: center;
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margin: 20px;
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}
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/* Hidden class (for hiding elements like loading spinner) */
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.hidden {
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display: none;
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}
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/* Main page title */
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.page-title {
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text-align: center;
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margin-top: 20px;
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margin-bottom: 10px;
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font-size: 28px;
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font-weight: bold;
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}
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25
index.html
25
index.html
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@ -3,13 +3,22 @@
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<head>
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<meta charset="UTF-8">
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<title>Health Perception by Education Level</title>
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<!-- Link to external stylesheet -->
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<link rel="stylesheet" href="css/style.css">
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<!-- D3.js library -->
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<script src="https://d3js.org/d3.v7.min.js"></script>
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<!-- Save SVG as PNG library -->
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<script src="https://cdnjs.cloudflare.com/ajax/libs/save-svg-as-png/1.4.17/saveSvgAsPng.min.js"></script>
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</head>
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<body>
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<h2>How Education Level Shapes Perceived Health</h2>
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<!-- Page Title -->
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<h2 class="page-title">How Education Level Shapes Perceived Health</h2>
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<!-- Filters and Controls -->
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<div class="controls">
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<label for="continentSelect">Continent:</label>
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<select id="continentSelect">
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@ -28,16 +37,28 @@
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<option value="All">All</option>
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</select>
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<label for="chartTypeSelect">Chart Type:</label>
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<select id="chartTypeSelect">
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<option value="grouped">Grouped Bar Chart</option>
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<option value="dot">Dot Plot</option>
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<option value="heatmap">Heatmap</option>
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</select>
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<!-- Buttons for Reset and Download -->
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<button id="resetButton">Reset Filters</button>
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<button id="downloadButton">Download Chart as PNG</button>
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</div>
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<!-- Loading Message -->
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<div id="loading">Loading chart, please wait...</div>
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<svg width="960" height="600"></svg>
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<!-- Main SVG where the chart will be drawn -->
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<svg id="chart" width="1400" height="600"></svg>
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<!-- Legend Section -->
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<div class="legend" id="legend"></div>
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<!-- Link to custom JavaScript file -->
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<script src="script/script.js"></script>
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</body>
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</html>
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394
script/script.js
394
script/script.js
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@ -1,25 +1,31 @@
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// SVG setup
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const svg = d3.select("svg"),
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margin = {top: 80, right: 30, bottom: 150, left: 60},
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margin = {top: 80, right: 30, bottom: 150, left: 160},
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width = +svg.attr("width") - margin.left - margin.right,
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height = +svg.attr("height") - margin.top - margin.bottom,
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g = svg.append("g").attr("transform", `translate(${margin.left},${margin.top})`);
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// Scales for grouped bar and dot plots
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const x0 = d3.scaleBand().rangeRound([0, width]).paddingInner(0.1);
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const x1 = d3.scaleBand().padding(0.05);
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const y = d3.scaleLinear().rangeRound([height, 0]);
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// Education levels for legend and grouped charts
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const educationLevels = [
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"Pre-primary, primary and lower secondary education",
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"Upper secondary and post-secondary non-tertiary, all programmes",
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"Tertiary education"
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];
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// Color scale for education levels
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const color = d3.scaleOrdinal()
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.domain(educationLevels)
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.range(["#4E79A7", "#F28E2B", "#59A14F"]);
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// Tooltip div
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const tooltip = d3.select("body").append("div").attr("class", "tooltip");
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// Chart titles
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const chartTitle1 = svg.append("text")
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.attr("x", +svg.attr("width") / 2)
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.attr("y", 30)
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@ -34,6 +40,7 @@ const chartTitle2 = svg.append("text")
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.style("font-size", "18px")
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.style("fill", "#666");
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// "No Data" placeholder text
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const noDataText = g.append("text")
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.attr("x", width / 2)
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.attr("y", height / 2)
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@ -43,7 +50,7 @@ const noDataText = g.append("text")
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.style("display", "none")
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.text("No data available for selected filters");
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// Dark mode toggle
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// Dark mode toggle button
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const darkModeToggle = document.createElement('button');
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darkModeToggle.textContent = 'Toggle Dark Mode';
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Object.assign(darkModeToggle.style, {
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@ -58,21 +65,28 @@ Object.assign(darkModeToggle.style, {
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});
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document.querySelector('.controls').appendChild(darkModeToggle);
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// Dark mode logic
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let darkMode = false;
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darkModeToggle.addEventListener('click', () => {
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darkMode = !darkMode;
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document.body.style.backgroundColor = darkMode ? '#121212' : '#fff';
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document.body.style.color = darkMode ? '#eee' : '#000';
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chartTitle1.style("fill", darkMode ? "#eee" : "#000");
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chartTitle2.style("fill", darkMode ? "#ccc" : "#666");
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darkModeToggle.style.backgroundColor = darkMode ? '#eee' : '#333';
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darkModeToggle.style.color = darkMode ? '#000' : '#fff';
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tooltip.style("background-color", darkMode ? "#222" : "#fff")
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.style("color", darkMode ? "#eee" : "#000");
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g.selectAll("text").style("fill", darkMode ? "#eee" : "#000");
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g.selectAll(".lowest-annotation").style("fill", darkMode ? "#eee" : "red");
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g.selectAll(".lowest-box").attr("fill", darkMode ? "#222" : "#fff").attr("stroke", darkMode ? "#aaa" : "#999");
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});
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// Load data
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d3.csv("PHSwithContinent.csv").then(function(data) {
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const allData = data;
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// Populate continent and education dropdowns
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const continents = Array.from(new Set(data.map(d => d.CONTINENT))).sort();
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continents.forEach(continent => {
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d3.select("#continentSelect")
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@ -88,6 +102,7 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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.text(level);
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});
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// Setup static legend (initial)
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const legend = d3.select("#legend");
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color.domain().forEach(d => {
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const item = legend.append("div").attr("class", "legend-item");
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@ -97,39 +112,36 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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item.append("span").text(d);
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});
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// Update the chart
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function updateChart() {
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const selectedContinent = d3.select("#continentSelect").property("value");
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const selectedSex = d3.select("#sexSelect").property("value");
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const selectedEdu = d3.select("#incomeSelect").property("value");
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const selectedChart = d3.select("#chartTypeSelect").property("value");
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// Two-line title
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updateLegend(selectedChart);
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// Update chart titles
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let title1 = "Self-Reported Health";
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let title2 = "";
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if (selectedContinent !== "All") title2 += `${selectedContinent}`;
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if (selectedSex !== "All") title2 += (title2 ? ", " : "") + selectedSex;
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if (selectedEdu !== "All") title2 += (title2 ? ", " : "") + selectedEdu;
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chartTitle1.text(title1);
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chartTitle2.text(title2);
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// Filter data based on selections
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let filteredData = allData.filter(d =>
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(selectedContinent === "All" || d.CONTINENT === selectedContinent) &&
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(selectedSex === "All" || d.Sex === selectedSex) &&
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(selectedEdu === "All" || d["Socio-economic status"] === selectedEdu)
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);
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filteredData = filteredData.filter(d =>
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).filter(d =>
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educationLevels.includes(d["Socio-economic status"]) &&
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!isNaN(parseFloat(d.OBS_VALUE))
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);
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const countries = Array.from(new Set(filteredData.map(d => d["Reference area"])));
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x0.domain(countries);
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x1.domain(educationLevels).rangeRound([0, x0.bandwidth()]);
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y.domain([0, 100]);
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// Clear and redraw
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g.selectAll("*").remove();
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if (filteredData.length === 0) {
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noDataText.style("display", null);
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return;
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@ -137,7 +149,101 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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noDataText.style("display", "none");
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}
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const groupedData = filteredData.reduce((acc, d) => {
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if (selectedChart === "grouped") {
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drawGrouped(filteredData);
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} else if (selectedChart === "dot") {
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drawDotPlot(filteredData);
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} else if (selectedChart === "heatmap") {
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drawHeatmap(filteredData);
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}
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}
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updateChart();
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d3.select("#loading").classed("hidden", true);
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// Attach event listeners
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d3.selectAll("select").on("change", updateChart);
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d3.select("#resetButton").on("click", function() {
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d3.select("#continentSelect").property("value", "All");
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d3.select("#sexSelect").property("value", "All");
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d3.select("#incomeSelect").property("value", "All");
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d3.select("#chartTypeSelect").property("value", "grouped");
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updateChart();
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});
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d3.select("#downloadButton").on("click", function() {
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const c = d3.select("#continentSelect").property("value");
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const s = d3.select("#sexSelect").property("value");
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const e = d3.select("#incomeSelect").property("value");
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const chartType = d3.select("#chartTypeSelect").property("value"); // 🆕 Get selected chart type
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const parts = [
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"education_health",
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chartType, // 🆕 Add chart type into the filename
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c !== "All" ? c : null,
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s !== "All" ? s : null,
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e !== "All" ? e.replace(/[^a-zA-Z0-9]+/g, "_").toLowerCase() : null
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].filter(Boolean);
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const filename = parts.join("_") + ".png";
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saveSvgAsPng(document.getElementById("chart"), filename, {
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scale: 2,
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backgroundColor: darkMode ? "#121212" : "#ffffff"
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});
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});
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});
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// Update legend depending on chart type
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function updateLegend(chartType) {
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const legend = d3.select("#legend");
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legend.html(""); // Clear existing
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if (chartType === "heatmap") {
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const wrapper = legend.append("div")
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.style("display", "flex")
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.style("flex-direction", "column")
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.style("align-items", "center")
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.style("margin-top", "10px");
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wrapper.append("div")
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.style("font-size", "13px")
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.style("margin-bottom", "6px")
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.style("font-weight", "bold")
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.text("Percentage of population reporting good health");
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wrapper.append("div")
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.style("width", "300px")
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.style("height", "20px")
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.style("background", "linear-gradient(to right, #edf8b1, #2c7fb8)")
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.style("margin-bottom", "5px");
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wrapper.append("div")
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.style("width", "300px")
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.style("display", "flex")
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.style("justify-content", "space-between")
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.style("font-size", "12px")
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.html('<span>0%</span><span>50%</span><span>100%</span>');
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} else {
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educationLevels.forEach(level => {
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const item = legend.append("div").attr("class", "legend-item");
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item.append("div")
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.attr("class", "legend-color")
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.style("background-color", color(level));
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item.append("span").text(level);
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});
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}
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}
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function drawGrouped(data) {
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// Setup x0, x1, and y domains
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const countries = Array.from(new Set(data.map(d => d["Reference area"])));
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x0.domain(countries);
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x1.domain(educationLevels).rangeRound([0, x0.bandwidth()]);
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y.domain([0, 100]);
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// Group data by country
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const groupedData = data.reduce((acc, d) => {
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const found = acc.find(v => v.Country === d["Reference area"]);
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const value = parseFloat(d.OBS_VALUE);
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const entry = { ...d, value };
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@ -146,6 +252,7 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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return acc;
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}, []);
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// Draw grouped bars
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const countryGroups = g.append("g")
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.selectAll("g")
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.data(groupedData)
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@ -153,7 +260,7 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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.attr("transform", d => `translate(${x0(d.Country)},0)`)
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.attr("class", "country-group");
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const bars = countryGroups.selectAll("rect")
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countryGroups.selectAll("rect")
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.data(d => d.values)
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.join("rect")
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.attr("x", d => x1(d["Socio-economic status"]))
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@ -161,31 +268,28 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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.attr("fill", d => color(d["Socio-economic status"]))
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.attr("y", height)
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.attr("height", 0)
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.attr("class", "bar")
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.on("mouseover", function(event, d) {
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tooltip.html(`<strong>${d["Reference area"]}</strong><br/>${d["Socio-economic status"]}: ${d.OBS_VALUE}%`)
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// Show tooltip
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tooltip.html(`<strong>${d["Reference area"]}</strong><br/>${d["Socio-economic status"]}<br/><strong>${d.OBS_VALUE}%</strong>`)
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.style("left", (event.pageX + 10) + "px")
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.style("top", (event.pageY - 40) + "px")
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.transition().duration(300)
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.style("opacity", 1)
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.style("transform", "translateY(-10px)");
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d3.select(this.parentNode).selectAll("rect").style("opacity", 1);
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g.selectAll(".country-group").filter(gd => gd.Country !== d["Reference area"])
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.selectAll("rect").style("opacity", 0.2);
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})
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.on("mouseout", function() {
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// Hide tooltip
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tooltip.transition().duration(500)
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.style("opacity", 0)
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.style("transform", "translateY(0px)");
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g.selectAll("rect").style("opacity", 0.8);
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});
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bars.transition()
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})
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.transition()
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.duration(800)
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.ease(d3.easeCubicOut)
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.attr("y", d => y(d.value))
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.attr("height", d => height - y(d.value));
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// Add X axis
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g.append("g")
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.attr("transform", `translate(0,${height})`)
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.call(d3.axisBottom(x0))
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@ -193,62 +297,238 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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.attr("transform", "rotate(45)")
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.style("text-anchor", "start");
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// Add Y axis
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g.append("g")
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.call(d3.axisLeft(y).ticks(10));
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// Annotate lowest
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// Add Y-axis label (final adjusted for better alignment)
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g.append("text")
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.attr("transform", "rotate(-90)")
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.attr("x", -height / 2)
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.attr("y", -45) // Adjust this closer or farther as needed
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.attr("dy", "-1em")
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.style("text-anchor", "middle")
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.style("font-size", "14px")
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.style("fill", darkMode ? "#fff" : "#000")
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.text("Percentage of population reporting good health");
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// Annotate lowest bar
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if (groupedData.length > 0) {
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const flat = groupedData.flatMap(g => g.values);
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const lowest = flat.reduce((min, d) => d.value < min.value ? d : min, flat[0]);
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const barX = x0(lowest["Reference area"]) + x0.bandwidth() / 2;
|
||||
const barX = x0(lowest["Reference area"]) + x1(lowest["Socio-economic status"]) + x1.bandwidth() / 2;
|
||||
const barY = y(lowest.value);
|
||||
|
||||
const labelText = `Lowest: ${lowest["Reference area"]}`;
|
||||
|
||||
// Measure text width
|
||||
const tempText = g.append("text")
|
||||
.attr("x", -9999)
|
||||
.attr("y", -9999)
|
||||
.style("font-size", "12px")
|
||||
.style("font-weight", "bold")
|
||||
.text(labelText);
|
||||
|
||||
const textWidth = tempText.node().getBBox().width;
|
||||
tempText.remove();
|
||||
|
||||
// Draw annotation background box
|
||||
g.append("rect")
|
||||
.attr("x", barX - 50)
|
||||
.attr("y", barY - 30)
|
||||
.attr("width", 100)
|
||||
.attr("height", 18)
|
||||
.attr("class", "lowest-box")
|
||||
.attr("x", barX - textWidth / 2 - 6)
|
||||
.attr("y", barY - 28)
|
||||
.attr("width", textWidth + 12)
|
||||
.attr("height", 20)
|
||||
.attr("rx", 4)
|
||||
.attr("fill", darkMode ? "#222" : "#fff")
|
||||
.attr("opacity", 0.85);
|
||||
.attr("stroke", darkMode ? "#aaa" : "#999")
|
||||
.attr("stroke-width", 0.5)
|
||||
.attr("opacity", 0.9);
|
||||
|
||||
// Draw annotation text
|
||||
g.append("text")
|
||||
.attr("class", "lowest-annotation")
|
||||
.attr("x", barX)
|
||||
.attr("y", barY - 17)
|
||||
.attr("y", barY - 14)
|
||||
.attr("text-anchor", "middle")
|
||||
.style("font-size", "12px")
|
||||
.style("font-weight", "bold")
|
||||
.style("fill", darkMode ? "#fff" : "red")
|
||||
.text(`Lowest: ${lowest["Reference area"]}`);
|
||||
.style("fill", darkMode ? "#eee" : "red")
|
||||
.text(labelText);
|
||||
}
|
||||
}
|
||||
|
||||
updateChart();
|
||||
d3.select("#loading").classed("hidden", true);
|
||||
function drawDotPlot(data) {
|
||||
// Setup x and y scales
|
||||
const x = d3.scaleLinear()
|
||||
.domain([0, 100])
|
||||
.range([0, width]);
|
||||
|
||||
d3.selectAll("select").on("change", updateChart);
|
||||
const y = d3.scaleBand()
|
||||
.domain([...new Set(data.map(d => d["Reference area"]))])
|
||||
.range([0, height])
|
||||
.padding(0.3);
|
||||
|
||||
d3.select("#resetButton").on("click", function() {
|
||||
d3.select("#continentSelect").property("value", "All");
|
||||
d3.select("#sexSelect").property("value", "All");
|
||||
d3.select("#incomeSelect").property("value", "All");
|
||||
updateChart();
|
||||
// Group data by country
|
||||
const groupedData = data.reduce((acc, d) => {
|
||||
const found = acc.find(v => v.Country === d["Reference area"]);
|
||||
const value = parseFloat(d.OBS_VALUE);
|
||||
const entry = { ...d, value };
|
||||
if (found) found.values.push(entry);
|
||||
else acc.push({ Country: d["Reference area"], values: [entry] });
|
||||
return acc;
|
||||
}, []);
|
||||
|
||||
// Draw dot points
|
||||
const countryGroups = g.append("g")
|
||||
.selectAll("g")
|
||||
.data(groupedData)
|
||||
.join("g")
|
||||
.attr("transform", d => `translate(0,${y(d.Country)})`)
|
||||
.attr("class", "country-group");
|
||||
|
||||
countryGroups.selectAll("circle")
|
||||
.data(d => d.values)
|
||||
.join("circle")
|
||||
.attr("cy", d => 0)
|
||||
.attr("cx", 0)
|
||||
.attr("r", 0)
|
||||
.attr("fill", d => color(d["Socio-economic status"]))
|
||||
.on("mouseover", function(event, d) {
|
||||
// Show tooltip
|
||||
tooltip.html(`<strong>${d["Reference area"]}</strong><br/>${d["Socio-economic status"]}<br/><strong>${d.OBS_VALUE}%</strong>`)
|
||||
.style("left", (event.pageX + 10) + "px")
|
||||
.style("top", (event.pageY - 40) + "px")
|
||||
.transition().duration(300)
|
||||
.style("opacity", 1)
|
||||
.style("transform", "translateY(-10px)");
|
||||
})
|
||||
.on("mouseout", function() {
|
||||
// Hide tooltip
|
||||
tooltip.transition().duration(500)
|
||||
.style("opacity", 0)
|
||||
.style("transform", "translateY(0px)");
|
||||
})
|
||||
.transition()
|
||||
.duration(800)
|
||||
.ease(d3.easeCubicOut)
|
||||
.attr("cx", d => x(d.value))
|
||||
.attr("r", 6);
|
||||
|
||||
// Add axes
|
||||
g.append("g")
|
||||
.attr("transform", `translate(0,${height})`)
|
||||
.call(d3.axisBottom(x).ticks(10));
|
||||
|
||||
g.append("g")
|
||||
.call(d3.axisLeft(y));
|
||||
|
||||
// Add x-axis label
|
||||
g.append("text")
|
||||
.attr("x", width / 2)
|
||||
.attr("y", height + 50)
|
||||
.attr("text-anchor", "middle")
|
||||
.style("font-size", "14px")
|
||||
.style("fill", darkMode ? "#fff" : "#000")
|
||||
.text("Percentage Reporting Good Health (%)");
|
||||
|
||||
// Annotate lowest dot
|
||||
if (groupedData.length > 0) {
|
||||
const flat = groupedData.flatMap(g => g.values);
|
||||
const lowest = flat.reduce((min, d) => d.value < min.value ? d : min, flat[0]);
|
||||
|
||||
const dotX = x(lowest.value);
|
||||
const dotY = y(lowest["Reference area"]);
|
||||
|
||||
const labelText = `Lowest: ${lowest["Reference area"]}`;
|
||||
|
||||
// Measure text width
|
||||
const tempText = g.append("text")
|
||||
.attr("x", -9999)
|
||||
.attr("y", -9999)
|
||||
.style("font-size", "12px")
|
||||
.style("font-weight", "bold")
|
||||
.text(labelText);
|
||||
|
||||
const textWidth = tempText.node().getBBox().width;
|
||||
tempText.remove();
|
||||
|
||||
// Draw annotation background box
|
||||
g.append("rect")
|
||||
.attr("class", "lowest-box")
|
||||
.attr("x", dotX - textWidth / 2 - 6)
|
||||
.attr("y", dotY - 28)
|
||||
.attr("width", textWidth + 12)
|
||||
.attr("height", 20)
|
||||
.attr("rx", 4)
|
||||
.attr("fill", darkMode ? "#222" : "#fff")
|
||||
.attr("stroke", darkMode ? "#aaa" : "#999")
|
||||
.attr("stroke-width", 0.5)
|
||||
.attr("opacity", 0.9);
|
||||
|
||||
// Draw annotation text
|
||||
g.append("text")
|
||||
.attr("class", "lowest-annotation")
|
||||
.attr("x", dotX)
|
||||
.attr("y", dotY - 14)
|
||||
.attr("text-anchor", "middle")
|
||||
.style("font-size", "12px")
|
||||
.style("font-weight", "bold")
|
||||
.style("fill", darkMode ? "#eee" : "red")
|
||||
.text(labelText);
|
||||
}
|
||||
}
|
||||
|
||||
function drawHeatmap(data) {
|
||||
// Setup x and y scales for heatmap
|
||||
const countries = [...new Set(data.map(d => d["Reference area"]))];
|
||||
|
||||
const x = d3.scaleBand()
|
||||
.domain(educationLevels)
|
||||
.range([0, width])
|
||||
.padding(0.05);
|
||||
|
||||
const y = d3.scaleBand()
|
||||
.domain(countries)
|
||||
.range([0, height])
|
||||
.padding(0.05);
|
||||
|
||||
// Color scale for heatmap (sequential)
|
||||
const colorScale = d3.scaleSequential()
|
||||
.interpolator(d3.interpolateYlGnBu)
|
||||
.domain([0, 100]);
|
||||
|
||||
// Draw heatmap squares
|
||||
g.selectAll()
|
||||
.data(data)
|
||||
.join("rect")
|
||||
.attr("x", d => x(d["Socio-economic status"]))
|
||||
.attr("y", d => y(d["Reference area"]))
|
||||
.attr("width", x.bandwidth())
|
||||
.attr("height", y.bandwidth())
|
||||
.attr("fill", d => colorScale(parseFloat(d.OBS_VALUE)))
|
||||
.on("mouseover", function(event, d) {
|
||||
// Show tooltip
|
||||
tooltip.html(`<strong>${d["Reference area"]}</strong><br/>${d["Socio-economic status"]}: ${d.OBS_VALUE}%`)
|
||||
.style("left", (event.pageX + 10) + "px")
|
||||
.style("top", (event.pageY - 40) + "px")
|
||||
.transition().duration(300)
|
||||
.style("opacity", 1)
|
||||
.style("transform", "translateY(-10px)");
|
||||
})
|
||||
.on("mouseout", function() {
|
||||
// Hide tooltip
|
||||
tooltip.transition().duration(500)
|
||||
.style("opacity", 0)
|
||||
.style("transform", "translateY(0px)");
|
||||
});
|
||||
|
||||
d3.select("#downloadButton").on("click", function() {
|
||||
const c = d3.select("#continentSelect").property("value");
|
||||
const s = d3.select("#sexSelect").property("value");
|
||||
const e = d3.select("#incomeSelect").property("value");
|
||||
// Add axes
|
||||
g.append("g")
|
||||
.attr("transform", `translate(0,${height})`)
|
||||
.call(d3.axisBottom(x));
|
||||
|
||||
const parts = [
|
||||
"education_health",
|
||||
c !== "All" ? c : null,
|
||||
s !== "All" ? s : null,
|
||||
e !== "All" ? e.replace(/[^a-zA-Z0-9]+/g, "_").toLowerCase() : null
|
||||
].filter(Boolean);
|
||||
|
||||
const filename = parts.join("_") + ".png";
|
||||
saveSvgAsPng.saveSvgAsPng(document.querySelector("svg"), filename);
|
||||
});
|
||||
});
|
||||
g.append("g")
|
||||
.call(d3.axisLeft(y));
|
||||
}
|
||||
Loading…
Reference in a new issue