I'm a professor of mathematics at the University of North Carolina Asheville. I've also done a fair amount of consulting work over the years focusing on scientific and data visualization.
I'm happy to be part of the first Observable Ambassador's cohort.
A unimodal function with fractal level curvesA long scrollable PlotWavy spheresTwo line chartsFidding with axes labelsJumpy bar plotCopying from one SVG to anotherRegression mark with legendAdding data to array and plot histogram after each added data pointLegends and Swatches in SVGDrawing the MNIST digitsDelayed evaluationSmooth Zooming with imagesForce directed fit and zoomHighlight neighborsStatic ColorsReproduce a Gantt chartSpecifying months in a PlotCircular octa-gasketProblem with domain when using group?d3 cubic bezier curveWorld population bubble mapMutliple bubble maps for CSV dataViewing a grid of images via FileAttachment.zip()Plotting a few points on a mapDisplaying Folium maps in iframesTextured globeAn SVG from an embedded cellAges of US SenatorsCovid Data Source Scatter PlotA dot plot with datesAttaching a pointerenter event to the lines in a chart
Extracting SVG
line_pic.querySelector("svg").outerHTML
line_pic = {
let div = d3.create("div");
let svg = div.append("svg").attr("viewBox", "0 0 1200 100");
svg
.append("path")
.attr("d", line1)
.attr("stroke", "black")
.attr("fill", "none");
return div.node();
}
data1 = [[0, 80], [50, 20], [100, 50], [150, 30],
[200, 40], [250, 90], [400, 20], [450, 70], [500, 60]];
line1 = d3.line()(data1)
container = html`<div id='here'></div>`
doit = {
const svgns = "http://www.w3.org/2000/svg";
let svg = d3
.select("#here")
.append("svg")
// .attr('xmlns', svgns)
.attr("viewBox", "0 0 1200 100");
return svg
.append("path")
.attr("d", line1)
.attr("stroke", "black")
.attr("fill", "none")
.node();
}
// Make this cell depend on `doit` so that we don't try to get the SVG before it's generated.
(doit, container.querySelector("svg").outerHTML)
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
