Public
Edited
Dec 6, 2023
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Cobble Hill Foodmap
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chart = {
const width = 430,
height = 420;
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
var g = svg.append("g").attr("id", "paths");
var p = svg.selectAll("polyline") //d3 geopath
.data(outlines)
.enter() //there are more data than elements, this selects them
.append("polyline") //appends path to data
.attr("points", function(d) {return d.pts})//required attributes
.style("stroke","red")//style
.style("stroke-width",".8px")
.style("fill","blue")
.on("mouseover",polyHover)
.on("mouseout",polyHoverOut)
function polyHover(event,d){
//console.log("hello studious students")
d3.select(this).style("fill","purple")
svg
.append("text")
.attr("x","300")
.attr("y","100")
.attr("class","hoverText")
.style("font-size", "10px")
.attr("color", "blue")
.text(d.Name)
svg
.append("text")
.attr("x","300")
.attr("y","110")
.attr("class","hoverText")
.style("font-size", "10px")
.attr("color", "blue")
.text(d.Category)
//.text("I love CASE 😀")
}
p.enter().append("polyline") //after we draw our first polyline, use this line
.data(cobble_hill_foodmap_details)
.enter() //there are more data than elements, this selects them
.append("polyline") //appends path to data
.attr("points", function(d) {return d})//required attributes
.style("stroke","black")//style
.style("stroke-width",".7px")
.style("fill","none")
p.enter().append("polyline") //after we draw our first polyline, use this line
.data(cobble_hill_foodmap_buildings)
.enter() //there are more data than elements, this selects them
.append("polyline") //appends path to data
.attr("points", function(d) {return d})//required attributes
.style("stroke","gray")//style
.style("stroke-width",".5px")
.style("fill","none")
p.enter().append("polyline") //after we draw our first polyline, use this line
.data(cobble_hill_foodmap_parks)
.enter() //there are more data than elements, this selects them
.append("polyline") //appends path to data
.attr("points", function(d) {return d})//required attributes
.style("stroke","green")//style
.style("stroke-width",".8px")
.style("fill","none")
function polyHoverOut(){
d3.select(this).style("fill","Blue")
svg.selectAll("text.hoverText").remove()
}
return svg.node();
}
cobble_hill_foodmap_parks = FileAttachment("Cobble_Hill_Foodmap_Parks.txt").tsv({array:true})
cobble_hill_foodmap_buildings = FileAttachment("Cobble_Hill_Foodmap_Buildings.txt").tsv({array:true})
cobble_hill_foodmap_details = FileAttachment("Cobble_Hill_Foodmap_Details.txt").tsv({array:true})
outlines = {
var list = cobble_hill_foodmap_foodmarket
var spreadsheet = buildingList
var cleanLines = []
for (let i = 0; i < list.length-1; i=i+2) {
var id = list[i+1][0]
var Name
var Category
for (let k = 0; k < spreadsheet.length; k++) {
if(id==spreadsheet[k].Address){
console.log("match!!!!!!!")
Name = spreadsheet[k].Name
Category = spreadsheet[k].Category
}
}
cleanLines.push({pts:list[i],id:id,Name:Name,Category:Category})//add features to our final list of objects
}
return cleanLines
}
cobble_hill_foodmap_foodmarket = FileAttachment("Cobble_Hill_Foodmap_Foodmarket.txt").tsv({array:true})
buildingList_link = "https://docs.google.com/spreadsheets/d/e/2PACX-1vSZ_o8OCKe35lCWPlB3CRFSdSqJU1GevMBkGeXUsPegWm1eM0DuUCeYd6WTllHgSWme-WD5pDhA1vA5/pub?gid=0&single=true&output=csv"
buildingList = d3.csv(buildingList_link,d3.autoType)
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Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
