BCN Base Map
d3 = require("d3@6")
viewof viriat = Inputs.range([0, 8], {step: 1, label: "Viriat", value: 0})
viewof buscate = Inputs.range([0, 8], {step: 1, label: "Buscaté Bubble Tea", value: 0})
viewof boa = Inputs.range([0, 8], {step: 1, label: "Boa-Bao", value: 0})
viewof sinluz = Inputs.range([0, 8], {step: 1, label: "Sinluz. Enginyeria i Arquitectura", value: 0})
viewof IES = Inputs.range([0, 8], {step: 1, label: "IES Abroad Barcelona", value: 0})
viewof Apple = Inputs.range([0, 8], {step: 1, label: "Apple Passeig de Gràcia", value: 0})
viewof kfc = Inputs.range([0, 8], {step: 1, label: "KFC", value: 0})
viewof Aloha = Inputs.range([0, 8], {step: 1, label: "Aloha Poke", value: 0})
totalValues = {
var totalCost = 0
var totalHappiness = 0
totalCost = totalCost +(values[0].cost*viriat)
totalCost = totalCost +(values[1].cost*buscate)
totalCost = totalCost +(values[2].cost*boa)
totalCost = totalCost +(values[3].cost*sinluz)
totalCost = totalCost +(values[4].cost*IES)
totalCost = totalCost +(values[5].cost*Apple)
totalCost = totalCost +(values[6].cost*kfc)
totalCost = totalCost +(values[7].cost*Aloha)
totalHappiness = totalHappiness +(values[0].happiness*viriat)
totalHappiness = totalHappiness +(values[1].happiness*buscate)
totalHappiness = totalHappiness +(values[2].happiness*boa)
totalHappiness = totalHappiness +(values[3].happiness*sinluz)
totalHappiness = totalHappiness +(values[4].happiness*IES)
totalHappiness = totalHappiness +(values[5].happiness*Apple)
totalHappiness = totalHappiness +(values[6].happiness*kfc)
totalHappiness = totalHappiness +(values[7].happiness*Aloha)
return[totalCost, totalHappiness]
}
chart = {
const width = 960,
height = 550;
const svg = d3.create("svg")
.attr("viewBox", [50, 50, width-100, height-100]);
// Use Mercator projection
var projection = d3
.geoMercator()
.fitSize([width - 50, height - 50], planBoundary);
var path1 = d3.geoPath().projection(projection);
var path2 = d3.geoPath().projection(projection);
var path3 = d3.geoPath().projection(projection);
var g = svg.append("g").attr("id", "paths");
//i'm not using the boundary lines, so I'm going to comment them out
/*
g.selectAll("path1") //d3 geopath
.data(boundary.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path1) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", "none")
.style('stroke-opacity','1')
.style("stroke-width", '.5')
.style("stroke", "rgb(0,0,0)")
*/
/*
g.selectAll("path2") //d3 geopath
.data(subLns.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path2) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", "none")
.style('stroke-opacity','1')
.style("stroke-width", '.75')
.style("stroke", "rgb(0,0,0)")
*/
g.selectAll("path3") //d3 geopath
.data(allLinesSimplified.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path3) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", "rgb(240,240,240)")
.style("fill-opacity", ".5")
.style('stroke-opacity','.4')
.style("stroke-width", '.5')
.style("stroke", "rgb(0,0,0)")
var c = svg.selectAll("circle") //d3 geopath
.data(spots)
.enter() //there are more data than elements, this selects them
.append("circle") //appends path to data
.attr("cx", function(d) {return projection([d.long,d.lat])[0]})
.attr("cy", function(d) {return projection([d.long,d.lat])[1]})
.attr('r',3)
.attr('fill',colorType)
.style('fill-opacity','1')
.style('stroke','black')
.style('stroke-width','1')
.on('mouseover',spottext)
.on('mouseout',removetext)
function colorType(d,i) {
var color = 'black'
if (d.type=='Food'){color='cyan'}
if (d.type=='Work'){color='red'}
if (d.type=='Living'){color='green'}
if (d.type=='Shopping'){color='blue'}
return color
}
function spottext(i,d) {
svg.append("text")
.attr('class','spotInfo')
.attr('x','100')
.attr('y','100')
.attr('font-family','Helvetica')
.attr('font-size','1em')
.attr('font-weight','Bold')
.attr('text-anchor','start')
.text(d.name)
svg.append("text")
.attr('class','spotInfo')
.attr('x','100')
.attr('y','115')
.attr('font-family','Helvetica')
.attr('font-size','.8em')
.attr('font-weight','normal')
.attr('text-anchor','start')
.text(d.desc)
svg.append('line')
.attr('class','spotLine')
.attr('x1','115')
.attr('y1','120')
.attr('x2',projection([d.long,d.lat])[0])
.attr('y2',projection([d.long,d.lat])[1])
.attr('stroke-width','.5')
.attr('stroke','black')
}
function removetext(i,d) {
d3.selectAll('text.spotInfo').remove()
d3.selectAll('line.spotLine').remove()
}
svg.append("text")
// .attr('class','spotInfo')
.attr('x','130')
.attr('y','460')
.attr('font-family','Helvetica')
.attr('font-size','.6em')
.attr('font-weight','200')
.attr('text-anchor','end')
.text("Total Cost: ")
svg.append("text")
// .attr('class','spotInfo')
.attr('x','130')
.attr('y','480')
.attr('font-family','Helvetica')
.attr('font-size','.6em')
.attr('font-weight','200')
.attr('text-anchor','end')
.text("Total Happiness: ")
svg.append("text")
// .attr('class','spotInfo')
.attr('x','130')
.attr('y','460')
.attr('font-family','Helvetica')
.attr('font-size','.6em')
.attr('font-weight','Bold')
.attr('text-anchor','start')
.text(totalValues[0])
svg.append("text")
// .attr('class','spotInfo')
.attr('x','130')
.attr('y','480')
.attr('font-family','Helvetica')
.attr('font-size','.6em')
.attr('font-weight','Bold')
.attr('text-anchor','start')
.text(totalValues[1])
if (totalValues[0] > 100){
svg.append("text")
// .attr('class','spotInfo')
.attr('x','480')
.attr('y','275')
.attr('font-family','Helvetica')
.attr('font-size','10em')
.attr('font-weight','Bold')
.attr('text-anchor','middle')
.attr('fill','red')
.text("BROKE :/")
}
if (totalValues[0] < 100){
if (totalValues[1] > 30){
svg.append("text")
// .attr('class','spotInfo')
.attr('x','480')
.attr('y','275')
.attr('font-family','Helvetica')
.attr('font-size','6em')
.attr('font-weight','Bold')
.attr('text-anchor','middle')
.attr('fill','green')
.text("Un-Depressed!")
}
}
return svg.node();
}
buildingsAndLines = FileAttachment("Buildings and Lines.geojson").json()
planBoundary = FileAttachment("Plan Boundary@1.geojson").json()
allLinesSimplified = FileAttachment("All Lines Simplified.geojson").json()
spotslink = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vQ4B4HROV6h_216cXF5itMBaFKFpLxNoSXVX4u-LD1vEviXep9cAlqmp2_cziAh--rpXWciO0ryBHqv/pub?output=csv'
spots = d3.csv(spotslink, d3.autoType)
values = [
{name:"V", cost: 10, happiness: 3},
{name:"BT", cost: 6, happiness: 4},
{name:"BB", cost: 10, happiness: 2},
{name:"S", cost: -10, happiness: -6},
{name:"IES", cost: -1, happiness: -1},
{name:"APG", cost: 10, happiness: 1},
{name:"KFC", cost: 4, happiness: 1},
{name:"AP", cost: 9, happiness: 2},
]
Purpose-built for displays of data
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.
