Public
Edited
Nov 16, 2022
margin = {top: 30, right: 30, bottom: 70, left: 60};
width = 460 - margin.left - margin.right;
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the pag
svg = d3.select("#my_dataviz")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
// Parse the Data
d3.csv("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/7_OneCatOneNum_header.csv", function(data) {
// X axis
let x = d3.scaleBand()
.range([ 0, width ])
.domain(data.map(function(d) { return d.Country; }))
.padding(0.2);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.attr("transform", "translate(-10,0)rotate(-45)")
.style("text-anchor", "end");
// Add Y axis
let y = d3.scaleLinear()
.domain([0, 13000])
.range([ height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
// Bars
svg.selectAll("mybar")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return x(d.Country); })
.attr("y", function(d) { return y(d.Value); })
.attr("width", x.bandwidth())
.attr("height", function(d) { return height - y(d.Value); })
.attr("fill", "#69b3a2")
})
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.
