The avatar for @emfielduva
Eric Field
Building and Using Tools to See. UVA Architecture + Data Science. IT Director. Instructor.
Public
d3 layout and lib examples
Edited
Apr 12, 2022
Fork of Treemap
d3 layout and lib examples
dvlib_layout OverviewLine graphsArea graphsSparklineDonut or PiePixel MatrixTreemapPack CirclesSunburstDendogramClustersWord CloudClusters - dynamic movementPack Circles - dynamic movement
Treemap - dynamic movement
Network Graph - nodes and edgesCombining 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
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
import {powerplants_2019} from "@emfielduva/dvlib_sampledata"
Insert cell
Insert cell
rollupData = d3.rollups(powerplants_2019, v => d3.sum(v, d => toNum(d["Plant annual net generation (MWh)"])), d => d["Plant primary fuel generation category"]).sort((a,b)=>d3.descending(a[1],b[1]));
Insert cell
Insert cell
allDataSorted = d3.sort(powerplants_2019, (a,b) => d3.ascending(a["Plant primary fuel generation category"],b["Plant primary fuel generation category"]))
Insert cell
Insert cell
rollupDataByState = d3.rollups(powerplants_2019, v => d3.sum(v, d => toNum(d["Plant annual net generation (MWh)"])), d => d["Plant state abbreviation"], d => d["Plant primary fuel generation category"])
Insert cell
Insert cell
dataLayout = layoutChildren("powerplants",dataAggregationSelected)
Insert cell
tmElem = d3.select(svgContainer).select("#layer1")
Insert cell
tm1 = dvTreemap(tmElem,dataLayout,800,600,"Plant annual net generation (MWh)",options)
Insert cell
options = ({
textLabelField: 'name',
transitionMS: 1000
})
Insert cell
{
if (dataAggregationSelected == allDataSorted) {
options.classField = 'Plant primary fuel generation category';
} else {
if (typeof(options.classField) !== "undefined") {delete options.classField}
}
}
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
<style>
.COAL {fill:#000000; background-color:#000000; color: #dddddd;} /* black */
.BIOMASS {fill:#00ff00; background-color:#00ff00;} /* green */
.HYDRO {fill:#0000ff; background-color:#0000ff; color: #dddddd;} /* blue */
.OIL {fill:#777700; background-color:#777700;} /* brown */
.GAS {fill:#E8BD0C; background-color:#E8BD0C;} /* orange */
.NUCLEAR {fill:#00ffff; background-color:#00ffff;} /* cyan */
.GEOTHERMAL {fill:#A6A277; background-color:#A6A277;} /* brown */
.WIND {fill: #FF66FF; background-color: #FF66FF;} /* pink */
.SOLAR {fill: #ffff00; background-color: #ffff00;} /* yellow */
.OFSL {fill: #888888; background-color: #888888;} /* gray */
.OTHF {fill: #aa0000; background-color: #aa0000;} /* gray */
.OTHRFOSL {fill: #888888; background-color: #888888;} /* gray */
.WSTHTOTPUR {fill: #aa0000; background-color: #aa0000;} /* gray */
.node text {font-size: 12px; fill: white;}
</style>
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