// SVG setup const svg = d3.select("svg"), margin = {top: 80, right: 30, bottom: 150, left: 160}, width = +svg.attr("width") - margin.left - margin.right, height = +svg.attr("height") - margin.top - margin.bottom, g = svg.append("g").attr("transform", `translate(${margin.left},${margin.top})`); // Scales for grouped bar and dot plots const x0 = d3.scaleBand().rangeRound([0, width]).paddingInner(0.1); const x1 = d3.scaleBand().padding(0.05); const y = d3.scaleLinear().rangeRound([height, 0]); // Education levels for legend and grouped charts const educationLevels = [ "Pre-primary, primary and lower secondary education", "Upper secondary and post-secondary non-tertiary, all programmes", "Tertiary education" ]; // Color scale for education levels const color = d3.scaleOrdinal() .domain(educationLevels) .range(["#4E79A7", "#F28E2B", "#59A14F"]); // Tooltip div const tooltip = d3.select("body").append("div").attr("class", "tooltip"); // Chart titles const chartTitle1 = svg.append("text") .attr("x", +svg.attr("width") / 2) .attr("y", 30) .attr("text-anchor", "middle") .style("font-size", "20px") .style("font-weight", "bold"); const chartTitle2 = svg.append("text") .attr("x", +svg.attr("width") / 2) .attr("y", 55) .attr("text-anchor", "middle") .style("font-size", "18px") .style("fill", "#666"); // "No Data" placeholder text const noDataText = g.append("text") .attr("x", width / 2) .attr("y", height / 2) .attr("text-anchor", "middle") .style("font-size", "18px") .style("fill", "#999") .style("display", "none") .text("No data available for selected filters"); // Dark mode toggle button const darkModeToggle = document.createElement('button'); darkModeToggle.textContent = 'Toggle Dark Mode'; Object.assign(darkModeToggle.style, { margin: '5px', padding: '8px 12px', fontSize: '14px', cursor: 'pointer', border: 'none', borderRadius: '4px', backgroundColor: '#333', color: '#fff' }); document.querySelector('.controls').appendChild(darkModeToggle); // Dark mode logic let darkMode = false; darkModeToggle.addEventListener('click', () => { darkMode = !darkMode; document.body.style.backgroundColor = darkMode ? '#121212' : '#fff'; document.body.style.color = darkMode ? '#eee' : '#000'; chartTitle1.style("fill", darkMode ? "#eee" : "#000"); chartTitle2.style("fill", darkMode ? "#ccc" : "#666"); darkModeToggle.style.backgroundColor = darkMode ? '#eee' : '#333'; darkModeToggle.style.color = darkMode ? '#000' : '#fff'; tooltip.style("background-color", darkMode ? "#222" : "#fff") .style("color", darkMode ? "#eee" : "#000"); g.selectAll("text").style("fill", darkMode ? "#eee" : "#000"); g.selectAll(".lowest-annotation").style("fill", darkMode ? "#eee" : "red"); g.selectAll(".lowest-box").attr("fill", darkMode ? "#222" : "#fff").attr("stroke", darkMode ? "#aaa" : "#999"); }); // Load data d3.csv("PHSwithContinent.csv").then(function(data) { const allData = data; // Populate continent and education dropdowns const continents = Array.from(new Set(data.map(d => d.CONTINENT))).sort(); continents.forEach(continent => { d3.select("#continentSelect") .append("option") .attr("value", continent) .text(continent); }); educationLevels.forEach(level => { d3.select("#incomeSelect") .append("option") .attr("value", level) .text(level); }); // Setup static legend (initial) const legend = d3.select("#legend"); color.domain().forEach(d => { const item = legend.append("div").attr("class", "legend-item"); item.append("div") .attr("class", "legend-color") .style("background-color", color(d)); item.append("span").text(d); }); // Update the chart function updateChart() { const selectedContinent = d3.select("#continentSelect").property("value"); const selectedSex = d3.select("#sexSelect").property("value"); const selectedEdu = d3.select("#incomeSelect").property("value"); const selectedChart = d3.select("#chartTypeSelect").property("value"); updateLegend(selectedChart); // Update chart titles let title1 = "Self-Reported Health"; let title2 = ""; if (selectedContinent !== "All") title2 += `${selectedContinent}`; if (selectedSex !== "All") title2 += (title2 ? ", " : "") + selectedSex; if (selectedEdu !== "All") title2 += (title2 ? ", " : "") + selectedEdu; chartTitle1.text(title1); chartTitle2.text(title2); // Filter data based on selections let filteredData = allData.filter(d => (selectedContinent === "All" || d.CONTINENT === selectedContinent) && (selectedSex === "All" || d.Sex === selectedSex) && (selectedEdu === "All" || d["Socio-economic status"] === selectedEdu) ).filter(d => educationLevels.includes(d["Socio-economic status"]) && !isNaN(parseFloat(d.OBS_VALUE)) ); // Clear and redraw g.selectAll("*").remove(); if (filteredData.length === 0) { noDataText.style("display", null); return; } else { noDataText.style("display", "none"); } if (selectedChart === "grouped") { drawGrouped(filteredData); } else if (selectedChart === "dot") { drawDotPlot(filteredData); } else if (selectedChart === "heatmap") { drawHeatmap(filteredData); } } updateChart(); d3.select("#loading").classed("hidden", true); // Attach event listeners d3.selectAll("select").on("change", updateChart); d3.select("#resetButton").on("click", function() { d3.select("#continentSelect").property("value", "All"); d3.select("#sexSelect").property("value", "All"); d3.select("#incomeSelect").property("value", "All"); d3.select("#chartTypeSelect").property("value", "grouped"); updateChart(); }); 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"); const chartType = d3.select("#chartTypeSelect").property("value"); // 🆕 Get selected chart type const parts = [ "education_health", chartType, // 🆕 Add chart type into the filename 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(document.getElementById("chart"), filename, { scale: 2, backgroundColor: darkMode ? "#121212" : "#ffffff" }); }); }); // Update legend depending on chart type function updateLegend(chartType) { const legend = d3.select("#legend"); legend.html(""); // Clear existing if (chartType === "heatmap") { const wrapper = legend.append("div") .style("display", "flex") .style("flex-direction", "column") .style("align-items", "center") .style("margin-top", "10px"); wrapper.append("div") .style("font-size", "13px") .style("margin-bottom", "6px") .style("font-weight", "bold") .text("Percentage of population reporting good health"); wrapper.append("div") .style("width", "300px") .style("height", "20px") .style("background", "linear-gradient(to right, #edf8b1, #2c7fb8)") .style("margin-bottom", "5px"); wrapper.append("div") .style("width", "300px") .style("display", "flex") .style("justify-content", "space-between") .style("font-size", "12px") .html('0%50%100%'); } else { educationLevels.forEach(level => { const item = legend.append("div").attr("class", "legend-item"); item.append("div") .attr("class", "legend-color") .style("background-color", color(level)); item.append("span").text(level); }); } } function drawGrouped(data) { // Setup x0, x1, and y domains const countries = Array.from(new Set(data.map(d => d["Reference area"]))); x0.domain(countries); x1.domain(educationLevels).rangeRound([0, x0.bandwidth()]); y.domain([0, 100]); // 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 grouped bars const countryGroups = g.append("g") .selectAll("g") .data(groupedData) .join("g") .attr("transform", d => `translate(${x0(d.Country)},0)`) .attr("class", "country-group"); countryGroups.selectAll("rect") .data(d => d.values) .join("rect") .attr("x", d => x1(d["Socio-economic status"])) .attr("width", x1.bandwidth()) .attr("fill", d => color(d["Socio-economic status"])) .attr("y", height) .attr("height", 0) .on("mouseover", function(event, d) { // Show tooltip tooltip.html(`${d["Reference area"]}
${d["Socio-economic status"]}
${d.OBS_VALUE}%`) .style("left", (event.pageX + 10) + "px") .style("top", (event.pageY - 40) + "px") .transition().duration(300) .style("opacity", 1) .style("transform", "translateY(-10px)"); }) .on("mouseout", function() { // Hide tooltip tooltip.transition().duration(500) .style("opacity", 0) .style("transform", "translateY(0px)"); }) .transition() .duration(800) .ease(d3.easeCubicOut) .attr("y", d => y(d.value)) .attr("height", d => height - y(d.value)); // Add X axis g.append("g") .attr("transform", `translate(0,${height})`) .call(d3.axisBottom(x0)) .selectAll("text") .attr("transform", "rotate(45)") .style("text-anchor", "start"); // Add Y axis g.append("g") .call(d3.axisLeft(y).ticks(10)); // Add Y-axis label (final adjusted for better alignment) g.append("text") .attr("transform", "rotate(-90)") .attr("x", -height / 2) .attr("y", -45) // Adjust this closer or farther as needed .attr("dy", "-1em") .style("text-anchor", "middle") .style("font-size", "14px") .style("fill", darkMode ? "#fff" : "#000") .text("Percentage of population reporting good health"); // Annotate lowest bar 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 barX = x0(lowest["Reference area"]) + x1(lowest["Socio-economic status"]) + x1.bandwidth() / 2; const barY = y(lowest.value); const labelText = `Lowest: ${lowest["Reference area"]}`; // Measure text width const tempText = g.append("text") .attr("x", -9999) .attr("y", -9999) .style("font-size", "12px") .style("font-weight", "bold") .text(labelText); const textWidth = tempText.node().getBBox().width; tempText.remove(); // Draw annotation background box g.append("rect") .attr("class", "lowest-box") .attr("x", barX - textWidth / 2 - 6) .attr("y", barY - 28) .attr("width", textWidth + 12) .attr("height", 20) .attr("rx", 4) .attr("fill", darkMode ? "#222" : "#fff") .attr("stroke", darkMode ? "#aaa" : "#999") .attr("stroke-width", 0.5) .attr("opacity", 0.9); // Draw annotation text g.append("text") .attr("class", "lowest-annotation") .attr("x", barX) .attr("y", barY - 14) .attr("text-anchor", "middle") .style("font-size", "12px") .style("font-weight", "bold") .style("fill", darkMode ? "#eee" : "red") .text(labelText); } } function drawDotPlot(data) { // Setup x and y scales const x = d3.scaleLinear() .domain([0, 100]) .range([0, width]); const y = d3.scaleBand() .domain([...new Set(data.map(d => d["Reference area"]))]) .range([0, height]) .padding(0.3); // Group data by country const groupedData = data.reduce((acc, d) => { const found = acc.find(v => v.Country === d["Reference area"]); const value = parseFloat(d.OBS_VALUE); const entry = { ...d, value }; if (found) found.values.push(entry); else acc.push({ Country: d["Reference area"], values: [entry] }); return acc; }, []); // Draw dot points const countryGroups = g.append("g") .selectAll("g") .data(groupedData) .join("g") .attr("transform", d => `translate(0,${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(`${d["Reference area"]}
${d["Socio-economic status"]}
${d.OBS_VALUE}%`) .style("left", (event.pageX + 10) + "px") .style("top", (event.pageY - 40) + "px") .transition().duration(300) .style("opacity", 1) .style("transform", "translateY(-10px)"); }) .on("mouseout", function() { // Hide tooltip tooltip.transition().duration(500) .style("opacity", 0) .style("transform", "translateY(0px)"); }) .transition() .duration(800) .ease(d3.easeCubicOut) .attr("cx", d => x(d.value)) .attr("r", 6); // Add axes g.append("g") .attr("transform", `translate(0,${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: ${lowest["Reference area"]}`; // Measure text width const tempText = g.append("text") .attr("x", -9999) .attr("y", -9999) .style("font-size", "12px") .style("font-weight", "bold") .text(labelText); const textWidth = tempText.node().getBBox().width; tempText.remove(); // Draw annotation background box g.append("rect") .attr("class", "lowest-box") .attr("x", dotX - textWidth / 2 - 6) .attr("y", dotY - 28) .attr("width", textWidth + 12) .attr("height", 20) .attr("rx", 4) .attr("fill", darkMode ? "#222" : "#fff") .attr("stroke", darkMode ? "#aaa" : "#999") .attr("stroke-width", 0.5) .attr("opacity", 0.9); // Draw annotation text g.append("text") .attr("class", "lowest-annotation") .attr("x", dotX) .attr("y", dotY - 14) .attr("text-anchor", "middle") .style("font-size", "12px") .style("font-weight", "bold") .style("fill", darkMode ? "#eee" : "red") .text(labelText); } } function drawHeatmap(data) { // Setup x and y scales for heatmap const countries = [...new Set(data.map(d => d["Reference area"]))]; const x = d3.scaleBand() .domain(educationLevels) .range([0, width]) .padding(0.05); const y = d3.scaleBand() .domain(countries) .range([0, height]) .padding(0.05); // Color scale for heatmap (sequential) const colorScale = d3.scaleSequential() .interpolator(d3.interpolateYlGnBu) .domain([0, 100]); // Draw heatmap squares g.selectAll() .data(data) .join("rect") .attr("x", d => x(d["Socio-economic status"])) .attr("y", d => y(d["Reference area"])) .attr("width", x.bandwidth()) .attr("height", y.bandwidth()) .attr("fill", d => colorScale(parseFloat(d.OBS_VALUE))) .on("mouseover", function(event, d) { // Show tooltip tooltip.html(`${d["Reference area"]}
${d["Socio-economic status"]}: ${d.OBS_VALUE}%`) .style("left", (event.pageX + 10) + "px") .style("top", (event.pageY - 40) + "px") .transition().duration(300) .style("opacity", 1) .style("transform", "translateY(-10px)"); }) .on("mouseout", function() { // Hide tooltip tooltip.transition().duration(500) .style("opacity", 0) .style("transform", "translateY(0px)"); }); // Add axes g.append("g") .attr("transform", `translate(0,${height})`) .call(d3.axisBottom(x)); g.append("g") .call(d3.axisLeft(y)); }