Ds in action: advanced data visualization techniques and examples
Basics
First, we need an HTML file to import the D3.js library and prepare a canvas to place our chart.
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Create a simple line graph
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Creating a Bar Chart
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Create a pie chart
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Interactivity and animation
Interactivity example: adding hover effects to a bar chart
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Animation example: Smooth transition line chart data update
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Complex graphs: force-directed graphs
Force-directed graphs show the relationship between nodes and edges, which is very suitable for visualizing data such as networks and social graphs.
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Map Visualization
D3.js can work with geographic data formats such as GeoJSON to create interactive maps. This includes countries, states, city boundaries, etc.
Basic steps:
Load map data: Use D3's d3.json or d3.geoJson to load GeoJSON data.
Create scale: Define a geographic projection and scale, such as Mercator or Albers USA.
Bind data and draw: Bind GeoJSON data to SVG path elements and apply a projection.
Add interactions: Such as hover effects, click events, etc.
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Data binding and dynamic update
Basic steps:
Initialize data binding: Use the data() method to bind data to DOM elements.
Enter, Update, Exit mode: process new data, update existing data, and remove useless data.
Dynamic update: monitor data changes, re-execute binding and rendering processes.
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Complex charts and advanced techniques
Advanced techniques:
Use D3 component libraries: Libraries like D3fc provide advanced chart components to simplify the creation of complex charts.
Animation and transition: Use the transition() method to create smooth animation effects.
Interactivity: Add click and hover events, and use brush and zoom functions to enhance user experience.
Performance optimization: Use selectAll(), data(), enter(), exit() reasonably to reduce DOM operations, and use requestAnimationFrame() to optimize animation performance.
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