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Eric Field
Building and Using Tools to See. UVA Architecture + Data Science. IT Director. Instructor.
Public
the Basics
Edited
Mar 21, 2023
2 forks
the Basics
Intro to Observable, HTML, and SVGSVG Object Types and attributesSVG Stacked Bar GraphDrawing Objects ProcedurallyD3 baby stepsD3 element templatesthe Data in D3
D3 Dynamics baby steps
D3 join, with updating data
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<svg width="1000" height="300">
<rect x="20" y="20" width="250" height="150"></rect>
</svg>
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<svg width="1000" height="300">
<rect x="20" y="20" width=${width} height="150"></rect>
</svg>
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width=250
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<svg width="1000" height="300">
<rect x="20" y="20" width=${width_slider} height="150"></rect>
</svg>
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viewof width_slider = Inputs.range([0, 500], {label: "Width", step: 1})
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<svg width="1000" height="300">
<rect x="20" y="20" width="250" height="150"></rect>
</svg>
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myRectangle = d3.select(mySVG4).select("rect")
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myRectangle.attr("width", 350)
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<svg width="1000" height="300">
<rect x="20" y="20" width="250" height="150"></rect>
<circle cx="50" cy="50" r="10" style="fill: yellow"></circle>
</svg>
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myCircle = d3.select(mySVG5).select("circle")
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myCircle.attr("r", 50)
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myCircle.style("fill","red")
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<svg width="1000" height="300">
<rect x="20" y="20" width="250" height="150"></rect>
<circle cx="50" cy="50" r="10" style="fill: yellow"></circle>
</svg>
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myRectangle2 = d3.select(mySVG6).select("rect")
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myRectangle2.attr("x", 500)
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myRectangle2.attr("x", 50)
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myRectangle3 = d3.select(mySVG7).select("rect")
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myRectangle3.transition().duration(1000).attr("x", 500)
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myRectangle3.transition().duration(1000).attr("x", 50)
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myRectangle3.transition().ease(d3.easeLinear).duration(1000).attr("x", 500)
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myRectangle3.transition().ease(d3.easeBounce).duration(1000).attr("x", 50)
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myCircle2 = d3.select(mySVG8).select("circle")
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myCircle2.transition().duration(1000).attr("cx", 500).attr("r", 150).style("fill","red")
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myCircle2.transition().duration(1000).attr("cx", 50).attr("r", 20).style("fill","yellow")
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<svg width="1000" height="300">
<rect x="20" y="20" width="250" height="150"></rect>
<circle cx="50" cy="50" r="10" style="fill: yellow"></circle>
<line x1="500" x2="600" y1="150" y2="150" style="stroke: blue; stroke-width: 2px"></line>
</svg>
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myLine = d3.select(mySVG9).select("line")
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myLine.attr("transform", "rotate(30 500,150)")
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tick = ticker(10)
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myLine.attr("transform", "rotate(" + tick + " 500,150)")
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One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
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