The avatar for @emfielduva
Eric Field
Building and Using Tools to See. UVA Architecture + Data Science. IT Director. Instructor.
Public
the Basics
Edited
Mar 16
Insert cell
Insert cell
<svg width="600" height="200" viewBox="0 0 600 200"></svg>
Insert cell
Insert cell
mySVG = d3.select(svg)
Insert cell
Insert cell
Insert cell
Insert cell
lines = mySVG.selectAll("line")
.data(dataset_name)
.join("line")
.attr("x1", (d,i) => calculation_or_value)
.attr("y1", (d,i) => calculation_or_value)
.attr("x2", (d,i) => calculation_or_value)
.attr("y2", (d,i) => calculation_or_value)

.attr("class", d => calculation_or_value)
.style("stroke", d => calculation_or_value)
.style("stroke-width", d => calculation_or_value);
Insert cell
Insert cell
Insert cell
circles = mySVG.selectAll("circle")
.data(dataset_name)
.join("circle")
.attr("cx", (d,i) => calculation_or_value)
.attr("cy", (d,i) => calculation_or_value)
.attr("r", (d,i) => calculation_or_value)

.attr("class", d => calculation_or_value)
.style("fill", d => calculation_or_value)
.style("stroke", d => calculation_or_value)
.style("stroke-width", d => calculation_or_value);
Insert cell
Insert cell
rectangles = mySVG.selectAll("rect")
.data(dataset_name)
.join("rect")
.attr("x", (d,i) => calculation_or_value)
.attr("y", (d,i) => calculation_or_value)
.attr("width", (d,i) => calculation_or_value)
.attr("height", (d,i) => calculation_or_value)

.attr("class", d => calculation_or_value)
.style("fill", d => calculation_or_value)
.style("stroke", d => calculation_or_value)
.style("stroke-width", d => calculation_or_value);
Insert cell
Insert cell
text = mySVG.selectAll("text")
.data(dataset_name)
.join("text")
.attr("x", (d,i) => calculation_or_value)
.attr("y", (d,i) => calculation_or_value)
.text(d => calculation_or_value)

.attr("class", d => calculation_or_value)
.style("fill", d => calculation_or_value)
.style("font-family", d => calculation_or_value) // "Arial, Helvetica, sans-serif"
.style("font-size", d => calculation_or_value); // "14px"
Insert cell

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.
Learn more