Building and Using Tools to See.
UVA Architecture + Data Science. IT Director. Instructor.
viewof year = Inputs.range([1961, 2011], {label: "Year", step:1, value:1994})
map = d3.select(mapContainer)
import {getMapData, drawMapLayer} from "@emfielduva/dvlib_maps"
world = getMapData("world110m")
mapLayers = {
let mapLayers = [];
mapLayers["countries"] = drawMapLayer(map,"countries",world.features,world.idField);
return mapLayers;
}
<style>
#countries path {fill: #eeeeee; stroke: #ccc}
</style>
gdp = FileAttachment("world-gdp-growth.csv").csv()
import {colorByID, toNum} from "@emfielduva/dvlib"
colorScale = d3.scaleLinear().domain([-25,0,25]).range(["red","gray","green"])
//year = "1994" // this is commented out to use the range slider at the top to define year
Now invoke the colorByID function imported.
This connects the "Country Code" in the gdp dataset to the "id" in the geographic map data.
The syntax of this command is:
colorByID
colorByID(mapLayers["countries"],gdp,"id","Country Code",year,'',colorScale)
// data.forEach(d => {
// objectSet.filter(o=>o[objectIDfield] == d[dataIDfield])
// .style("fill",colorScale(toNum(d[dataValueField])))
// })
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.
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