Public
Edited
Nov 27, 2023
data@1.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
data
// Set dimensions and margins for the graph
{
const margin = { top: 20, right: 30, bottom: 40, left: 90 },
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// Append the svg object to the body of the page
const 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})`);
// X axis
const x = d3.scaleBand()
.range([ 0, width ])
.domain(data.map(d => 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
const y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.Population)])
.range([ height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
// Bars
svg.selectAll("mybar")
.data(data)
.enter()
.append("rect")
.attr("x", d => x(d.Country))
.attr("y", d => y(d.Population))
.attr("width", x.bandwidth())
.attr("height", d => height - y(d.Population))
.attr("fill", "#69b3a2");
//return svg.node();
};
htl.html`<div id="my_dataviz"></div>`
{
// set the dimensions and margins of the graph
var 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 page
var svg = d3.select("#my_dataviz2")
.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
var 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
var 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")
})
}
d3 = require('d3@7')
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.
