2f:[{"id":"e34d00a1441938da12b88603d3f2f6012369d8f1bec25ed9fb6db16c0d16d5ea4861bd6066275b8de9cc4ea3db735741008c4245e8142cd10c13ffa4c9741873","href":"https://static.observableusercontent.com/files/e34d00a1441938da12b88603d3f2f6012369d8f1bec25ed9fb6db16c0d16d5ea4861bd6066275b8de9cc4ea3db735741008c4245e8142cd10c13ffa4c9741873","name":"us-counties-10m.json","type":"application/json","lastModified":1762733070776.945,"size":842143},{"id":"3711de2a6d1c44df145f2a29f8744771e113672517ed5d84b0fbf76740b423e060d96eb2ae76bc28806b2d3cef37083de88309b3c86baef2807f0e27b2d045f3","href":"https://static.observableusercontent.com/files/3711de2a6d1c44df145f2a29f8744771e113672517ed5d84b0fbf76740b423e060d96eb2ae76bc28806b2d3cef37083de88309b3c86baef2807f0e27b2d045f3","name":"walmarts.tsv","type":"text/tab-separated-values","lastModified":1762733070776.945,"size":99268}] 2d:{"title":"Plot: Walmart Voronoi","cells":[{"id":0,"value":"

Plot: Walmart Voronoi

Observable Plot › Gallery

\n\n# Walmart Voronoi\n\nThe [Voronoi](https://observablehq.com/plot/marks/delaunay) diagram of the Walmart stores in the contiguous U.S. shows the catchment area of each point.","pinned":false,"hidden":false,"mode":"md"},{"id":3,"value":"walmart_map = Plot.plot({\n title: \"Walmart Stores in the US from 1960-2010\",\n subtitle: \"Each point represents one Walmart store and its color encodes the year it was opened.\",\n caption: htl.html`Forked from Walmart Voronoi. Data source: The Diffusion of Wal-Mart and Economies of Density, 2010`,\n projection: \"albers-usa\",\n color: {\n legend: true,\n scheme: \"GnBu\",\n type: \"quantize\",\n domain: [1960, 2010],\n },\n marks: [\n Plot.geo(nation, {fill: \"#A9A9A9\", fillOpacity: 0.4, stroke: \"black\"}),\n Plot.dot(walmarts, \n {x: \"longitude\", \n y: \"latitude\", \n fill: d => d.date.getFullYear(), \n r: 1.5, \n }),\n Plot.voronoiMesh(walmarts, {x: \"longitude\", y: \"latitude\", opacity: 0.2, title: d => formatDate(d.date), tip: true}), \n Plot.geo(statemesh, {stroke: \"white\"})\n ]\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":83,"value":"formatDate = d3.utcFormat(\"%B %d, %Y\");","pinned":false,"hidden":false,"mode":"ojs"},{"id":33,"value":"statemesh = topojson.mesh(us, us.objects.states, (a, b) => a !== b);","pinned":true,"hidden":false,"mode":"ojs"},{"id":8,"value":"us = FileAttachment(\"us-counties-10m.json\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":12,"value":"nation = topojson.feature(us, us.objects.nation)","pinned":true,"hidden":false,"mode":"ojs"},{"id":9,"value":"walmarts = FileAttachment(\"walmarts.tsv\").tsv({typed: true})","pinned":true,"hidden":false,"mode":"ojs"},{"id":20,"value":"## Sources \n\n- The dataset is from a paper called \"The Diffusion of Wal-Mart and Economies of Density\", the citation for the dataset can be found [here](https://users.econ.umn.edu/~holmes/data/WalMart/store_openings.html)","pinned":false,"hidden":false,"mode":"md"}],"files":"$W2f","stdlib":"1","titling":"auto"}