Building and Using Tools to See.
UVA Architecture + Data Science. IT Director. Instructor.
dvlib_layout OverviewLine graphsArea graphsSparklineDonut or PiePixel MatrixTreemapPack CirclesSunburstDendogramClustersWord CloudClusters - dynamic movementPack Circles - dynamic movementTreemap - dynamic movementCombining Layouts - Donuts on GridMapRadarRings - circle with hole maskBeeswarm - Force DiagramHeatmapPack Circles with Donuts insideUS map with Powerplant Pack CirclesRing plot on Map - Trust Gap?Force Directed clustering along a pathFixed location Network GraphRadial bar / lineFitness ringsCurves / distance color gradientSVG distance along path / curveFilled Arc Polygon BandsConnecting multiple visuals in one spaceSankey / Alluvial / Parallel Sets
Network Graph - nodes and edges
<svg width="1000" height="500">
<g id="layer1"></g>
<style>
.link {fill: none; stroke: #aaa; stroke-width: 0.5px;}
.resolved {stroke: green;}
.licensing {stroke: steelblue;}
.suit {stroke: red;}
circle {fill: #ccc; stroke: #333; stroke-width: 1.5px;}
text {font: 12px sans-serif; pointer-events: none; text-shadow: 0 1px 0 #fff, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;}
</style>
</svg>
links = FileAttachment("lawsuits.csv").csv()
nodes = nodesFromLinks(links)
netElem = d3.select(svgContainer).select("#layer1")
network = dvNetworkGraph(netElem,links,1000,500)
import {nodesFromLinks, dvNetworkGraph} with {nodes} from "@emfielduva/dvlib_layout"
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.