2024-11-21 20:39:49 +01:00
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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2024-11-21 21:08:35 +01:00
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<title>Live Heatmap with Smooth Scrolling</title>
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2024-11-21 20:39:49 +01:00
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<script src="https://d3js.org/d3.v7.min.js"></script>
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<style>
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2024-11-21 21:08:35 +01:00
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svg {
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display: block;
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margin: auto;
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2024-11-21 20:39:49 +01:00
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}
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</style>
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</head>
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<body>
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2024-11-21 21:08:35 +01:00
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<h2>Live Heatmap with Smooth Scrolling</h2>
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2024-11-21 20:39:49 +01:00
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<div id="chart"></div>
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<script>
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// Dimensions
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const margin = { top: 20, right: 20, bottom: 20, left: 50 };
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const width = 800 - margin.left - margin.right;
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const height = 500 - margin.top - margin.bottom;
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2024-11-21 20:39:49 +01:00
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// Create SVG
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const svg = d3.select("#chart")
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.append("svg")
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.attr("width", width + margin.left + margin.right)
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.attr("height", height + margin.top + margin.bottom)
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.append("g")
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.attr("transform", `translate(${margin.left},${margin.top})`);
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// Time scales
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const y = d3.scaleTime()
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.domain([new Date(Date.now() - 60000), new Date()]) // Past 1 min to now
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.range([height, 0]);
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const x = d3.scaleBand()
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.domain(d3.range(10)) // Example: 10 categories
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.range([0, width]);
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2024-11-21 20:39:49 +01:00
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// Heatmap color scale
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const colorScale = d3.scaleSequential(d3.interpolateYlOrRd)
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.domain([0, 100]); // Adjust for event intensity
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2024-11-21 20:39:49 +01:00
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// Axis
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const yAxis = svg.append("g")
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.attr("class", "y-axis")
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.call(d3.axisLeft(y).ticks(20));
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const grid = svg.append("g");
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// Initialize heatmap
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function updateHeatmap(data) {
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const cells = grid.selectAll("rect").data(data, d => d.id);
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// Enter new data
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cells.enter()
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.append("rect")
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.attr("x", d => x(d.category))
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.attr("width", x.bandwidth())
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.attr("y", d => y(new Date(d.timestamp)))
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.attr("height", 5) // Fixed height for heatmap blocks
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.attr("fill", d => colorScale(d.value))
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.merge(cells) // Merge updates
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.transition()
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.duration(500)
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.attr("y", d => y(new Date(d.timestamp)))
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.attr("visibility", d =>
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y(new Date(d.timestamp)) >= 0 && y(new Date(d.timestamp)) <= height
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? "visible"
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: "hidden"
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); // Hide items out of bounds
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// Remove old data that moves off the screen
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cells.exit().remove();
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// Shift all cells upward to simulate scrolling
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grid.selectAll("rect")
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.transition()
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.duration(500)
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.attr("y", d => y(new Date(d.timestamp)));
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}
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// Simulate real-time updates
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let allData = [];
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setInterval(() => {
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// Generate random data
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const newData = Array.from({ length: 10 }, (_, i) => ({
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id: `${Date.now()}-${i}`,
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category: i,
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timestamp: Date.now(),
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value: Math.random() * 100,
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}));
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// Add new data to the global array and keep only recent data
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allData = [...allData, ...newData].filter(d =>
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new Date(d.timestamp) >= new Date(Date.now() - 60000)
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);
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// Update time scale domain
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y.domain([new Date(Date.now() - 60000), new Date()]);
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yAxis.transition().duration(500).call(d3.axisLeft(y).ticks(20));
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// Update heatmap with filtered data
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updateHeatmap(allData);
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}, 1000);
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2024-11-21 20:39:49 +01:00
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</script>
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</body>
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</html>
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