added dot plot and heat map
This commit is contained in:
dlawler489
parent
effcec3bef
commit
17f63a4fc8
2 changed files with 324 additions and 95 deletions
11
index.html
11
index.html
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@ -28,13 +28,22 @@
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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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<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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<div id="loading">Loading chart, please wait...</div>
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<svg width="960" height="600"></svg>
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<svg width="1400" height="600"></svg>
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<div class="legend" id="legend"></div>
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408
script/script.js
408
script/script.js
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@ -1,5 +1,5 @@
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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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@ -43,7 +43,7 @@ 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 (unchanged)
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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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@ -101,8 +101,10 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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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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updateLegend(selectedChart);
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// Two-line title
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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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@ -123,13 +125,7 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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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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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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@ -137,90 +133,13 @@ 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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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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if (found) found.values.push(entry);
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else acc.push({ Country: d["Reference area"], values: [entry] });
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return acc;
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}, []);
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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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.join("g")
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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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.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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.attr("width", x1.bandwidth())
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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"]}: ${d.OBS_VALUE}%`)
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.style("left", (event.pageX + 10) + "px")
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.style("top", (event.pageY - 40) + "px")
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.transition().duration(300)
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.style("opacity", 1)
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.style("transform", "translateY(-10px)");
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d3.select(this.parentNode).selectAll("rect").style("opacity", 1);
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g.selectAll(".country-group").filter(gd => gd.Country !== d["Reference area"])
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.selectAll("rect").style("opacity", 0.2);
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})
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.on("mouseout", function() {
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tooltip.transition().duration(500)
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.style("opacity", 0)
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.style("transform", "translateY(0px)");
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g.selectAll("rect").style("opacity", 0.8);
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});
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bars.transition()
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.duration(800)
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.ease(d3.easeCubicOut)
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.attr("y", d => y(d.value))
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.attr("height", d => height - y(d.value));
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g.append("g")
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.attr("transform", `translate(0,${height})`)
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.call(d3.axisBottom(x0))
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.selectAll("text")
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.attr("transform", "rotate(45)")
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.style("text-anchor", "start");
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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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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;
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const barY = y(lowest.value);
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g.append("rect")
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.attr("x", barX - 50)
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.attr("y", barY - 30)
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.attr("width", 100)
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.attr("height", 18)
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.attr("rx", 4)
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.attr("fill", darkMode ? "#222" : "#fff")
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.attr("opacity", 0.85);
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g.append("text")
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.attr("x", barX)
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.attr("y", barY - 17)
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.attr("text-anchor", "middle")
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.style("font-size", "12px")
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.style("font-weight", "bold")
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.style("fill", darkMode ? "#fff" : "red")
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.text(`Lowest: ${lowest["Reference area"]}`);
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// 🆕 Decide which chart type to draw
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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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@ -233,6 +152,7 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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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"); // 🆕 Reset chart type too
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updateChart();
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});
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@ -251,4 +171,304 @@ d3.csv("PHSwithContinent.csv").then(function(data) {
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const filename = parts.join("_") + ".png";
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saveSvgAsPng.saveSvgAsPng(document.querySelector("svg"), filename);
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});
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});
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});
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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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// Create a wrapper for gradient + labels
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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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// Gradient bar
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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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// Tick labels (0% — 50% — 100%)
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const ticks = 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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ticks.html('<span>0%</span><span>50%</span><span>100%</span>');
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} else {
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// Grouped/Dot Chart — categorical legend
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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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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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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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if (found) found.values.push(entry);
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else acc.push({ Country: d["Reference area"], values: [entry] });
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return acc;
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}, []);
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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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.join("g")
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.attr("transform", d => `translate(${x0(d.Country)},0)`)
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.attr("class", "country-group");
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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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.attr("width", x1.bandwidth())
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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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.on("mouseover", function(event, d) {
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tooltip.html(`<strong>${d["Reference area"]}</strong><br/>${d["Socio-economic status"]}<br/><strong>${d.OBS_VALUE}%</strong>`)
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.style("left", (event.pageX + 10) + "px")
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.style("top", (event.pageY - 40) + "px")
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.transition().duration(300)
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.style("opacity", 1)
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.style("transform", "translateY(-10px)");
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})
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.on("mouseout", function() {
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tooltip.transition().duration(500)
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.style("opacity", 0)
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.style("transform", "translateY(0px)");
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})
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.transition()
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.duration(800)
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.ease(d3.easeCubicOut)
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.attr("y", d => y(d.value))
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.attr("height", d => height - y(d.value));
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g.append("g")
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.attr("transform", `translate(0,${height})`)
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.call(d3.axisBottom(x0))
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.selectAll("text")
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.attr("transform", "rotate(45)")
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.style("text-anchor", "start");
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g.append("g")
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.call(d3.axisLeft(y).ticks(10));
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// 📌 Smart 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"]) + x1(lowest["Socio-economic status"]) + x1.bandwidth() / 2;
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const barY = y(lowest.value);
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const labelText = `Lowest: ${lowest["Reference area"]}`;
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const tempText = g.append("text")
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.attr("x", -9999) // Place it offscreen first
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.attr("y", -9999)
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.style("font-size", "12px")
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.style("font-weight", "bold")
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.text(labelText);
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const textWidth = tempText.node().getBBox().width;
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tempText.remove(); // Cleanup
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// Background rectangle scaled to text size
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g.append("rect")
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.attr("x", barX - textWidth / 2 - 6)
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.attr("y", barY - 28)
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.attr("width", textWidth + 12)
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.attr("height", 20)
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.attr("rx", 4)
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.attr("fill", darkMode ? "#222" : "#fff")
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.attr("stroke", darkMode ? "#aaa" : "#999")
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.attr("stroke-width", 0.5)
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.attr("opacity", 0.9);
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// Final visible text
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g.append("text")
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.attr("x", barX)
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.attr("y", barY - 14)
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.attr("text-anchor", "middle")
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.style("font-size", "12px")
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.style("font-weight", "bold")
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.style("fill", darkMode ? "#eee" : "red")
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.text(labelText);
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}
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}
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function drawDotPlot(data) {
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const x = d3.scaleLinear()
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.domain([0, 100])
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.range([0, width]);
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const y = d3.scaleBand()
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.domain([...new Set(data.map(d => d["Reference area"]))])
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.range([0, height])
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.padding(0.3);
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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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if (found) found.values.push(entry);
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else acc.push({ Country: d["Reference area"], values: [entry] });
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return acc;
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}, []);
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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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.join("g")
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.attr("transform", d => `translate(0,${y(d.Country)})`)
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.attr("class", "country-group");
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countryGroups.selectAll("circle")
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.data(d => d.values)
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.join("circle")
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.attr("cy", d => 0)
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.attr("cx", 0)
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.attr("r", 0)
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.attr("fill", d => color(d["Socio-economic status"]))
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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"]}<br/><strong>${d.OBS_VALUE}%</strong>`)
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.style("left", (event.pageX + 10) + "px")
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.style("top", (event.pageY - 40) + "px")
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.transition().duration(300)
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.style("opacity", 1)
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.style("transform", "translateY(-10px)");
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})
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.on("mouseout", function() {
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tooltip.transition().duration(500)
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.style("opacity", 0)
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.style("transform", "translateY(0px)");
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})
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.transition()
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.duration(800)
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.ease(d3.easeCubicOut)
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.attr("cx", d => x(d.value))
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.attr("r", 6);
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g.append("g")
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.attr("transform", `translate(0,${height})`)
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.call(d3.axisBottom(x).ticks(10));
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g.append("g")
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.call(d3.axisLeft(y));
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// Add X-axis label
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g.append("text")
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.attr("x", width / 2)
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.attr("y", height + 50)
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.attr("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 Reporting Good Health (%)");
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// 📌 Smart annotate lowest dot
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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 dotX = x(lowest.value);
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const dotY = y(lowest["Reference area"]);
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const labelText = `Lowest: ${lowest["Reference area"]}`;
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const tempText = g.append("text")
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.attr("x", -9999)
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.attr("y", -9999)
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.style("font-size", "12px")
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.style("font-weight", "bold")
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.text(labelText);
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const textWidth = tempText.node().getBBox().width;
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tempText.remove();
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g.append("rect")
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.attr("x", dotX - textWidth / 2 - 6)
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.attr("y", dotY - 28)
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.attr("width", textWidth + 12)
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.attr("height", 20)
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.attr("rx", 4)
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.attr("fill", darkMode ? "#222" : "#fff")
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.attr("stroke", darkMode ? "#aaa" : "#999")
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.attr("stroke-width", 0.5)
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.attr("opacity", 0.9);
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g.append("text")
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.attr("x", dotX)
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.attr("y", dotY - 14)
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.attr("text-anchor", "middle")
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.style("font-size", "12px")
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.style("font-weight", "bold")
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.style("fill", darkMode ? "#eee" : "red")
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.text(labelText);
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}
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}
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function drawHeatmap(data) {
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const countries = [...new Set(data.map(d => d["Reference area"]))];
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const x = d3.scaleBand()
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.domain(educationLevels)
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.range([0, width])
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.padding(0.05);
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const y = d3.scaleBand()
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.domain(countries)
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.range([0, height])
|
||||
.padding(0.05);
|
||||
|
||||
const colorScale = d3.scaleSequential()
|
||||
.interpolator(d3.interpolateYlGnBu)
|
||||
.domain([0, 100]);
|
||||
|
||||
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) {
|
||||
tooltip.html(`<strong>${d["Reference area"]}</strong><br/>${d["Socio-economic status"]}: ${d.OBS_VALUE}%`)
|
||||
.style("left", (event.pageX + 10) + "px")
|
||||
.style("top", (event.pageY - 40) + "px")
|
||||
.transition().duration(300)
|
||||
.style("opacity", 1)
|
||||
.style("transform", "translateY(-10px)");
|
||||
})
|
||||
.on("mouseout", function() {
|
||||
tooltip.transition().duration(500)
|
||||
.style("opacity", 0)
|
||||
.style("transform", "translateY(0px)");
|
||||
});
|
||||
|
||||
g.append("g")
|
||||
.attr("transform", `translate(0,${height})`)
|
||||
.call(d3.axisBottom(x));
|
||||
|
||||
g.append("g")
|
||||
.call(d3.axisLeft(y));
|
||||
}
|
||||
Loading…
Reference in a new issue