Published
Edited
Apr 26, 2019
1 star
md`# Number of passengers 1990-2008`
d3 = require("https://d3js.org/d3.v5.min.js")
html`
<div id="plot">
</div>
`
{
var margin = {top: 20, right: 30, bottom: 30, left: 70},
width = 800 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
var svg = d3.select("#plot")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr("class", "no-hover")
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("rect")
.attr("x", -35)
.attr("width", 100)
.attr("height", 20)
.attr("fill", "white")
.style("opacity", 1);
tooltip.append("text")
.attr("x", 15)
.attr("dy", "1.2em")
.attr("fill", "black")
.style("text-anchor", "middle")
.attr("font-size", "14px")
.attr("font-weight", "bold")
d3.csv("https://raw.githubusercontent.com/caz2114/datavis-hw5/master/data/annual_passengers_new.csv").then
( function (data) {
// function tweenDash() {
// var l = this.getTotalLength(),
// i = d3.interpolateString("0," + l, l + "," + l);
// return function (t) { return i(t); };
// };
// function transition(path) {
// d3.selectAll(".multi-lines").each(function(d,i){
// d3.select(this).transition()
// .attr("stroke-width", "3px")
// .delay(i*250)
// .duration(2000)
// .attrTween("stroke-dasharray", tweenDash);
// })
// };
var x = d3.scaleLinear()
//.domain(d3.extent(data, d => d.year))
.domain([1990, 2010])
.range([0, width]);
var x_axis = d3.axisBottom()
.scale(x);
svg.append("g")
.attr("class", "x_axis")
.attr("transform", "translate(0, " + height + ")")
.call(x_axis);
//add a x-axis title
svg.append("text")
.attr("x", width)
.attr("y", height-margin.bottom/2)
.attr("text-anchor", "middle")
.style("font-size", "16px")
.text("Year");
var y = d3.scaleLinear()
//.domain(d3.extent(data, d => d.percentage))
.domain([0, 110000000])
.range([ height , 2*margin.top]);
var y_axis = d3.axisLeft()
.scale(y);
svg.append("g")
.attr("class", "y_axis")
//.attr("transform", "translate(10, 0)")
.call(y_axis);
//add a y-axis title
svg.append("text")
.attr("x", 0)
.attr("y", margin.top)
.attr("text-anchor", "middle")
.style("font-size", "16px")
.text("Count");
svg.append("line")
.attr("stroke", "red")
.attr("stroke-width", 2)
.attr("stroke-dasharray", 10)
.attr("x1", 2001)
.attr("x2", 2001)
.attr("y1", height/2+10)
.attr("y2", height-margin.bottom);
var colorScale = d3.scaleOrdinal()
.domain(["WN", "AA", "DL", "UA", "US", "NW","divider"])
.range(["#eb3d77", "#42aeab", "#5fb9e9", "#fce63f", "#9b5209","#4688B8","#FF0000"]);
var drawline = d3.line()
.x(function(d) {return x(d.year); })
.y(function(d) {return y(d.count); })
.curve(d3.curveMonotoneX);
var multiLineData = d3.nest()
.key(d => d.category)
.entries(data);
var lineGroup = svg.append("g")
.attr("class", "line-group");
svg.select("g.line-group")
.selectAll("g")
.data(multiLineData)
.enter()
.append("path")
.attr("class", function(d) {
if (d.key == "divider") {
return "divider";
}
else {
return "multi-lines";
}
})
.attr("fill", "none")
.attr("d", function(d) {return drawline(d.values); })
.attr("stroke", function(d) { return colorScale(d.key); })
.attr("stroke-width", function(d) {
if (d.key == "divider") {
return "2px";
}
else {
return "3px";
}
})
.attr("stroke-dasharray", function(d) {
if (d.key == "divider") {
return ("3, 3");
}
})
.on("mouseover", function(){
d3.selectAll(".multi-lines").transition()
.duration(300)
.attr("opacity", 0.25);
d3.select(this).transition()
.duration(300)
.attr("opacity", 1);
tooltip.style("display", null);
var firstChild = this.parentNode.parentNode.firstChild;
if (d3.select(firstChild).attr("class") == "tooltip") {
this.parentNode.parentNode.insertBefore(this.parentNode, firstChild);
}
})
.on("mousemove", function(d) {
if(d.key!="divider"){
const year = Math.floor(x.invert(d3.mouse(this)[0]));
const count = Math.floor(y.invert(d3.mouse(this)[1]));
var xPosition = parseInt(d3.mouse(this)[0] - 15);
var yPosition = parseInt(d3.mouse(this)[1] - 25);
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select("text").text("Airline: "+d.key+" Year: "+year +" Count: "+ count);}
})
.on("mouseout", function() {
d3.selectAll(".multi-lines").transition()
.duration(300)
.attr("opacity", 1);
tooltip.style("display", "none");
});
//.call(transition);
var legend_keys = ["WN", "AA", "DL", "UA", "US", "NW"];
var lineLegend = svg.selectAll(".lineLegend")
.data(legend_keys)
.enter().append("g")
.attr("class","lineLegend")
.attr("transform", function (d,i) {
return "translate(" +width*0.95 + "," + (i*20)+")";
});
lineLegend.append("text").text(function (d) {return d;})
.attr("transform", "translate(20,10)") //align texts with boxes
lineLegend.append("rect")
.attr("fill", function (d, i) {return colorScale(d); })
.attr("width", 10)
.attr("height", 10)
});
svg.append("text")
.attr("fill", "red")
.attr("text-anchor", "middle")
.attr("font-size", "13px")
.attr("font-weight", "bold")
.attr("x", width/2+40)
.attr("y", height*0.12)
.text("911 Attack");
}
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.