[D3] Build a Scatter Plot with D3 v4
Scatter plots, sometimes also known as bubble charts, are another common type of visualization. They’re extremely versatile thanks to their ability to display multiple dimensions of data simultaneously using x and y position, opacity, color, and even shape. This lesson introduces the SVG circle element as part of building a robust scatter plot.
var margin = {
top: 10,
right: 20,
bottom: 65,
left: 40
};
var width = 400 - margin.left - margin.right;
var height = 600 - margin.top - margin.bottom;
var svg = d3.select('.chart')
.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.call(responsivefy)
.append('g')
.attr('transform', 'translate(' + margin.left + ', ' + margin.top + ')');
/**
* Load data
*/
d3.json('../data/data2.json', function (err, data) {
/**
* Add Y axis
*/
var yScale = d3.scaleLinear()
.domain(d3.extent(data, (d) => d.expectancy))
.range([height, 0])
.nice();
var yAxis = d3.axisLeft(yScale);
svg.call(yAxis);
/**
* Add X axis
*/
var xScale = d3.scaleLinear()
.domain(d3.extent(data, d => d.cost))
.range([0, width])
.nice();
var xAxis = d3.axisBottom(xScale);
svg
.append('g')
.attr('transform', `translate(0, ${height})`)
.call(xAxis);
// For circle, we need scaleSqrt
var rScale = d3.scaleSqrt()
.domain([0, d3.max(data, d => d.population)])
.range([0, 40]);
// Create some container to contain the circles
var circles = svg.selectAll('.ball')
.data(data)
.enter()
.append('g')
.attr('class', 'ball')
.attr('transform', d => {
return `translate(${xScale(d.cost)}, ${yScale(d.expectancy)})`
});
// Add circle to each containers
circles
.append('circle')
.attr('cx', 0)
.attr('cy', 0)
.attr('r', d => rScale(d.population))
.style('opacity', 0.5)
.style('fill', 'steelblue');
// Add text
circles
.append('text')
.style('text-anchor', 'middle')
.style('fill', 'black')
.attr('y', 4)
.text(d => d.code)
});
function responsivefy(svg) {
// get container + svg aspect ratio
var container = d3.select(svg.node().parentNode),
width = parseInt(svg.style("width")),
height = parseInt(svg.style("height")),
aspect = width / height;
// add viewBox and preserveAspectRatio properties,
// and call resize so that svg resizes on inital page load
svg.attr("viewBox", "0 0 " + width + " " + height)
.attr("preserveAspectRatio", "xMinYMid")
.call(resize);
// to register multiple listeners for same event type,
// you need to add namespace, i.e., 'click.foo'
// necessary if you call invoke this function for multiple svgs
// api docs: https://github.com/mbostock/d3/wiki/Selections#on
d3.select(window).on("resize." + container.attr("id"), resize);
// get width of container and resize svg to fit it
function resize() {
var targetWidth = parseInt(container.style("width"));
svg.attr("width", targetWidth);
svg.attr("height", Math.round(targetWidth / aspect));
}
}
[D3] Build a Scatter Plot with D3 v4的更多相关文章
- [D3] Build a Line Chart with D3 v4
Line charts are often used to plot temporal data, like a stock price over time. In this lesson we’ll ...
- [D3] Build an Area Chart with D3 v4
Similar to line charts, area charts are great for displaying temporal data. Whether you’re displayin ...
- [D3] Build a Column Chart with D3 v4
Column and bar charts are staples of every visualization library. They also make a great project for ...
- [D3] 9. Scatter Plot
Up until now we've just looked at bar charts. A handy chart, no doubt, but D3 offers a variety of ch ...
- [D3] Animate Chart Axis Transitions in D3 v4
When the data being rendered by a chart changes, sometimes it necessitates a change to the scales an ...
- [D3] Load and Inspect Data with D3 v4
You probably use a framework or standalone library to load data into your apps, but what if that’s o ...
- d3.svg.line()错误:TypeError: d3.svg.line is not a function
var line_generator= d3.svg.line() .x(function (d,i) { return i; }) .y(function (d) { return d; }) 错误 ...
- d3可视化实战02:理解d3数据驱动的真正含义
前文中已经提到,SVG从诞生之初起就可以非常方便地使用javascript脚本语言来进行其DOM对象的控制.当然,控制的方法有很多,有直接控制SVG对象的方法,例如使用原生js:有帮你封装一下图形接口 ...
- Matplotlib学习---用matplotlib画散点图,气泡图(scatter plot, bubble chart)
Matplotlib里有两种画散点图的方法,一种是用ax.plot画,一种是用ax.scatter画. 一. 用ax.plot画 ax.plot(x,y,marker="o",co ...
随机推荐
- poj 1087 A Plug for UNIX(字符串编号建图)
A Plug for UNIX Time Limit: 1000MS Memory Limit: 65536K Total Submissions: 14862 Accepted: 5026 ...
- layer:web弹出层解决方案
layer:web弹出层解决方案 一.总结 一句话总结:http://layer.layui.com/ 1.layer中弹出层tips的使用(代码)是怎样的? 使用还是比较简单方便的 //tips层- ...
- CentOS6.5下的Nagios安装配置详解(图文)
最近因为,科研需要,接触上了Nagios,这里,我将安装笔记做个详解.为自己后续需要和博友们学习! VMware workstation 11 的下载 VMWare Workstation 11的安装 ...
- ES6第三节:变量的解构赋值
ES6允许按照一定模式,从数组和对象中提取值,对变量进行赋值,这被称为解构.下面我们看实际的例子: 一.数组解构: let [a,b,c] = [1,2,3]; console.log(a); //a ...
- iOS Dev (51)加急审核
https://developer.apple.com/appstore/contact/? topic=expedite
- 測试CPU支持指令集AVX,AVX2,SSE情况的代码【VS2010调试通过】
完整代码例如以下所看到的 http://download.csdn.net/detail/vbskj/7723827 本人的測试结果 watermark/2/text/aHR0cDovL2Jsb2cu ...
- Django加入JS,CSS,图片等外部文件的方法
Django加入JS,CSS.图片等外部文件的方法 By 白熊花田(http://blog.csdn.net/whiterbear) 转载需注明出处,谢谢. 在使用Django搭建站点时,往往须要使用 ...
- STM32介绍以及与通常ARM的区别
ARM是英国的芯片设计公司,其最成功的莫过于32位嵌入式CPU核----ARM系列,最常用的是ARM7和ARM9,ARM公司主要提供IP核,就是CPU的内核结构,只包括最核心的部分,并不是完整的处理器 ...
- 理性分析 C++(-O2) 和 JS 的性能差距
laptop: Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz.. Test1: 最后一行:时间(ms) #pragma GCC optimize("O2& ...
- 团队作业-Beta冲刺(3)
这个作业属于哪个课程 https://edu.cnblogs.com/campus/xnsy/SoftwareEngineeringClass2 这个作业要求在哪里 https://edu.cnblo ...