Building and Using Tools to See.
UVA Architecture + Data Science. IT Director. Instructor.
sampleSVG = FileAttachment("ai export for svg.svg").text()
import {importSVGnode} from "@emfielduva/dvlib"
svg = importSVGnode(sampleSVG)
dots = {
let dots = d3.select(svg);
dots.select("#blueDot").attr("cx", form.blueX);
dots.select("#yellowDot").attr("cx", form.yellowX);
dots.select("#redDot").attr("cx", form.redX);
dots.selectAll("circle").attr("r", form.radius) // uncomment this one to see it apply to all circles
}
FileAttachment("illustrator_sliders.svg").image()
slidersSVG = FileAttachment("illustrator_sliders.svg").text() // notice the .text() rather than .image()
sliders = importSVGnode(slidersSVG)
sliderData = FileAttachment("illustrator_sliders.csv").csv()
scaleX = d3.scaleLinear().domain([0,1]).range([0,600]) // a scale domain/range for X
leftmostX = 200
slidersD3 = d3.select(sliders) // D3 grabs the objects to be able to manipulate.
moveDotsYear = {
sliderData.forEach(function(d,i) { // for each entry in data
let dotPosition = leftmostX + scaleX(+sliderData[i][year]); // get the data in the csv file
slidersD3.select("#dot"+d["question"]) // get the dot for this slider/"question" - this was built from a survey
.transition().duration(1000)
.attr("cx", dotPosition); // set the dot position from data
let line = d3.select("#line"+d["question"]); // the line surrounding the dot needs to extend and contract.
let lineX1,lineX2;
if (dotPosition < line.attr("x1")) {
lineX1 = dotPosition;
} else {
lineX1 = line.attr("x1");
}
if (dotPosition > line.attr("x2")) {
lineX2 = dotPosition;
} else {
lineX2 = line.attr("x2");
}
slidersD3.select("#line"+d["question"])
.transition().duration(1000)
.attr("x1", lineX1)
.attr("x2", lineX2);
})
}
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.