fruit = ['apples','peaches','watermelon','dragonfruit']
hR = [
{name:}
]
viewof transportation = Inputs.checkbox(["subway", "taxi", "citibike", "revel", "bus"], {label: "NYC Transport"})
viewof y = Inputs.range([0, 255], {step: 10, label: "Favorite number"})
viewof SpotR = Inputs.radio([3, 5, 7, 9], {label: "Radius"})
chart = {
const width = 960,
height = 900;
const svg = d3.create("svg")
.attr("viewBox", [50, 50, width-100, height-100]);
// Use Mercator projection
var projection = d3
.geoAlbersUsa()
.fitSize([width - 50, height - 50], gbox);
var path1 = d3.geoPath().projection(projection);//use different path variable for each set of line data
var path2 = d3.geoPath().projection(projection);
var path3 = d3.geoPath().projection(projection);
var path4 = d3.geoPath().projection(projection);
var path5 = d3.geoPath().projection(projection);
var path6 = d3.geoPath().projection(projection);
var g = svg.append("g").attr("id", "paths");
var clicks =[]
//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(streets.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(gbldgs.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") //circle
.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', SpotR)
.attr('fill',colorType)//add function to control color by 'type'
.style('fill-opacity','1')
.style('stroke','black')
.style('stroke-width','1')
.on('mouseover', spotText)
.on('mouseout', removeText)
function colorType(d,i) {
var color ='cyan'
if(d.type == 'live'){color = 'rgb(255,255,'+y+')'}
if(d.type =='flim'){color = 'red'}
return color
}
function spotText(i,d) {
svg.append("text")
.attr('class','spotInfo')
.attr('x','500')
.attr('y','360')
.attr('font-family','Helvetica')
.attr('font-size','.8em')
.attr('font-weight','bold')
.attr('text-anchor','start')
.text(d.name)
svg.append("text")
.attr('class','spotInfo')
.attr('x','500')
.attr('y','370')
.attr('font-family','Helvetica')
.attr('font-size','.6em')
.attr('font-weight','normal')
.attr('text-anchor','start')
.text(d.description)
svg.append('line')
.attr('class','spotLine')
.attr('x1','500')
.attr('y1','355')
.attr('x2',500)
.attr('y2',projection([d.long,d.lat])[1])
.attr('stroke-width', '.5')
.attr('stroke', 'black')
.attr('stroke-dasharray', '4 4')
svg.append('line')
.attr('class','spotLine')
.attr('x1',projection([d.long,d.lat])[0])
.attr('y1',projection([d.long,d.lat])[1])
.attr('x2','500')
.attr('y2',projection([d.long,d.lat])[1])
.attr('stroke-width', '.5')
.attr('stroke', 'black')
.attr('stroke-dasharray', '4 4')
}
function removeText(i,d) {
d3.selectAll('text.spotInfo').remove()
d3.selectAll('line.spotLine').remove()
}
var t = svg.selectAll('text')
.data(transportation)
.enter()
.append('text')
.attr('x','200')
.attr('y',function(d,i){return 200+(i*20)})
.attr('font-family','Helvetica')
.attr('font-size','.6em')
.attr('text-anchor','start')
.attr('font-weight','bold')
.text(function(d) {return d})
/*
c.enter.append('circle')//format to add additional circles
.data(trees)
.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','black')
.style('fill-opacity','1')
*/
return svg.node();
}
gbldgs = FileAttachment("gbldgs.geojson").json()
gbox = FileAttachment("greenwich_bb.geojson").json()
streets = FileAttachment("greenwich_streets.geojson").json()
spotsLink = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vSYHez6n-WUuxPzD2kv9rwlmQQJL78nRg06lBvVoMGsL5he7jOhxXVRbL7XOZPyY1rv3vNFPgtzCrsM/pub?output=csv'
spots = d3.csv(spotsLink,d3.autoType)
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.
