Let's talk about jquery uneven scale chart
jQuery is a widely used JavaScript library that provides many convenient and fast methods and functions for achieving dynamic web page effects and interactivity. In terms of data visualization, jQuery also has many related plug-ins and tools, one of which is the uneven scale chart.
The uneven scale chart means that on the horizontal axis, the distance between data points is not fixed, but is distributed according to a certain ratio or rule. This kind of chart is usually used to display time series data or data points with different attributes to present the relationship between data points more clearly.
When implementing uneven scale charts, jQuery provides some convenient and easy-to-use plug-ins. The more commonly used ones are D3.js and Highcharts. The following will introduce the use of these two plug-ins.
First is D3.js. D3.js is a data-driven JavaScript library that achieves data visualization effects by operating on DOM documents. When using D3.js to implement unevenly scaled charts, we can achieve this by defining the scale and axis. Scales are used to map data to pixel locations on the horizontal axis, while axes are used to draw ticks and labels on the horizontal axis.
The following is a simple example that shows how to use D3.js to implement a line chart with uneven scales:
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>D3.js刻度不均匀图表</title>
<script src="https://d3js.org/d3.v5.min.js"></script>
</head>
<body>
<svg width="960" height="500"></svg>
<script>
// 数据
var data = [
{x: 1, y: 10},
{x: 2, y: 20},
{x: 4, y: 30},
{x: 7, y: 40},
{x: 10, y: 50},
{x: 15, y: 60},
{x: 23, y: 70},
{x: 30, y: 80},
{x: 40, y: 90},
{x: 50, y: 100}
];
// 定义比例尺和轴
var xScale = d3.scaleLinear()
.domain([1, 50])
.range([0, 960]);
var xAxis = d3.axisBottom(xScale)
.ticks(10)
.tickValues([1, 2, 4, 7, 10, 15, 23, 30, 40, 50]);
// 绘制折线图
var svg = d3.select("svg");
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 2)
.attr("d", d3.line()
.x(function(d) { return xScale(d.x); })
.y(function(d) { return d.y; })
);
// 绘制坐标轴
svg.append("g")
.attr("transform", "translate(0, 400)")
.call(xAxis);
</script>
</body>
</html>In this example, we define a line chart containing 10 data points The data set data. By defining the scale and axis, we spread the spacing between data points unevenly across the horizontal axis. When drawing the line chart, we used the .line() function provided by D3.js to map the data set to the SVG path. Finally, the horizontal axis is drawn and the scales and labels are set.
The next introduction is Highcharts. Highcharts is a full-featured JavaScript charting library that provides multiple types of charts, interactivity and dynamic effects.
It is also very simple to implement uneven scale charts in Highcharts. We can define the horizontal axis coordinates corresponding to each data point by setting the categories attribute of the x-axis, as shown below:
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Highcharts刻度不均匀图表</title>
<script src="https://code.highcharts.com/highcharts.js"></script>
</head>
<body>
<div id="container"></div>
<script>
// 数据
var data = [
{name: '1', y: 10},
{name: '2', y: 20},
{name: '4', y: 30},
{name: '7', y: 40},
{name: '10', y: 50},
{name: '15', y: 60},
{name: '23', y: 70},
{name: '30', y: 80},
{name: '40', y: 90},
{name: '50', y: 100}
];
// 绘制图表
Highcharts.chart('container', {
chart: {
type: 'line'
},
title: {
text: 'Highcharts刻度不均匀图表'
},
xAxis: {
categories: ['1', '2', '4', '7', '10', '15', '23', '30', '40', '50']
},
yAxis: {
title: {
text: 'Y轴标题'
}
},
series: [{
name: '数据点',
data: data
}]
});
</script>
</body>
</html>In this example, we also use a data set containing 10 data points data. When drawing the chart, we specified the categories attribute of the x-axis and set the horizontal axis coordinate corresponding to each data point, thereby achieving the effect of uneven scale.
In addition to the above two plug-ins, there are many other jQuery libraries and plug-ins that can be used to implement uneven scale charts. Regardless of which approach you take, the choice will need to be based on your specific data type and needs. Compared with ordinary charts, uneven scale charts can present the relationship between data points more intuitively, helping users better understand and analyze data.
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