29:null 2a:["$","title",null,{"children":"Plot: Walmart Voronoi | Personal Projects | Observable"}] 2f:[{"id":"e34d00a1441938da12b88603d3f2f6012369d8f1bec25ed9fb6db16c0d16d5ea4861bd6066275b8de9cc4ea3db735741008c4245e8142cd10c13ffa4c9741873","href":"https://static.observableusercontent.com/files/e34d00a1441938da12b88603d3f2f6012369d8f1bec25ed9fb6db16c0d16d5ea4861bd6066275b8de9cc4ea3db735741008c4245e8142cd10c13ffa4c9741873","name":"us-counties-10m.json","type":"application/json","lastModified":1762733070776.945,"size":842143},{"id":"3711de2a6d1c44df145f2a29f8744771e113672517ed5d84b0fbf76740b423e060d96eb2ae76bc28806b2d3cef37083de88309b3c86baef2807f0e27b2d045f3","href":"https://static.observableusercontent.com/files/3711de2a6d1c44df145f2a29f8744771e113672517ed5d84b0fbf76740b423e060d96eb2ae76bc28806b2d3cef37083de88309b3c86baef2807f0e27b2d045f3","name":"walmarts.tsv","type":"text/tab-separated-values","lastModified":1762733070776.945,"size":99268}] 2d:{"id":"ce729f08bc9448a4","slug":null,"title":"Plot: Walmart Voronoi","thumbnail":"5c801661bd1c840196ad6c8d8f819d72ec569a277498a24aa3b47855fe88746d","access_level":"public","create_time":"$D2025-11-10T00:04:30.776Z","update_time":"$D2025-11-10T00:04:30.776Z","view_time":null,"first_public_time":"$D2025-11-10T00:04:30.776Z","fork":{"id":"571dc64c9e146ca3","slug":null,"title":"Plot: Walmart Voronoi","owner":{"id":"e602a4cc91f94fe5","login":"hmc-datavis-fall2025","name":"CS 181AP Data Visualization"}},"stars":0,"starred":false,"owner":{"type":"team","id":"59a802c740bb830e","login":"personal-projects17","name":"Personal Projects","avatar_url":"https://avatars-next.observableusercontent.com/78ffa32d6630331e07e9c851cbf703b59e9e1ce0cc779cfa57da45d2f3530b5a","tier":"starter_2024"},"version":103,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"f67642f236fc3503","login":"hnoteboom","name":"Hnoteboom","avatar_url":"https://avatars-next.observableusercontent.com/aace97b3805ff6faeca620ac4a4b7c0e260af5c377b0636506585a13ae3f8bc6","tier":null}],"members":[{"type":"individual","id":"f67642f236fc3503","login":"hnoteboom","name":"Hnoteboom","avatar_url":"https://avatars-next.observableusercontent.com/aace97b3805ff6faeca620ac4a4b7c0e260af5c377b0636506585a13ae3f8bc6","tier":null,"role":"editor"},{"type":"team","id":"59a802c740bb830e","login":"personal-projects17","name":"Personal Projects","avatar_url":"https://avatars-next.observableusercontent.com/78ffa32d6630331e07e9c851cbf703b59e9e1ce0cc779cfa57da45d2f3530b5a","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Plot: Walmart Voronoi","cells":[{"id":0,"value":"

Plot: Walmart Voronoi

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\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","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3,"value":"walmart_map = Plot.plot({\n title: \"Walmart Stores in the US from 1960-2010\",\n subtitle: \"Each point represents one Walmart store and its color encodes the year it was opened.\",\n caption: htl.html`Forked from Walmart Voronoi. Data source: The Diffusion of Wal-Mart and Economies of Density, 2010`,\n projection: \"albers-usa\",\n color: {\n legend: true,\n scheme: \"GnBu\",\n type: \"quantize\",\n domain: [1960, 2010],\n },\n marks: [\n Plot.geo(nation, {fill: \"#A9A9A9\", fillOpacity: 0.4, stroke: \"black\"}),\n Plot.dot(walmarts, \n {x: \"longitude\", \n y: \"latitude\", \n fill: d => d.date.getFullYear(), \n r: 1.5, \n }),\n Plot.voronoiMesh(walmarts, {x: \"longitude\", y: \"latitude\", opacity: 0.2, title: d => formatDate(d.date), tip: true}), \n Plot.geo(statemesh, {stroke: \"white\"})\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":83,"value":"formatDate = d3.utcFormat(\"%B %d, %Y\");","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":33,"value":"statemesh = topojson.mesh(us, us.objects.states, (a, b) => a !== b);","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"us = FileAttachment(\"us-counties-10m.json\").json()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":12,"value":"nation = topojson.feature(us, us.objects.nation)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"walmarts = FileAttachment(\"walmarts.tsv\").tsv({typed: true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":20,"value":"## Sources \n\n- The dataset is from a paper called \"The Diffusion of Wal-Mart and Economies of Density\", the citation for the dataset can be found [here](https://users.econ.umn.edu/~holmes/data/WalMart/store_openings.html)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"}],"files":"$W2f","stdlib":"1","titling":"auto"}} 2e:"$2d:body"