Education
Developer Advocate
Last updated onNov 26, 2024
Last updated onSep 8, 2024
React Gauge chart, is an effective tool for graphical representation of data. It presents data within a certain scope simply and appealingly. It is noteworthy that in React, you may create various gauge charts that will enrich your application by simply following a few best practices and utilizing the possibility that is given by the React gauge components.
Let's explore it in more detail.
Gauge charts, often referred to as speedometer charts, are visual elements used to represent numeric values within a given range. They are commonly used to display performance metrics such as current speed, temperature, or completion percentage. In React, creating a gauge chart involves using a gauge component that can be customized to fit the specific needs of your application.
React gauge charts are a powerful tool for displaying key performance indicators (KPIs) in a way that is quick and easy to understand. They provide a visual representation of data that can be processed at a glance, making them ideal for dashboards and real-time monitoring systems.
To create a gauge in React, you can start by importing a gauge component from a library or creating your own. Here's a simple example using a hypothetical GaugeChart component:
1import React from 'react'; 2import GaugeChart from 'react-gauge-chart'; 3 4const MyGauge = ({ value }) => ( 5 <div> 6 <GaugeChart id="gauge-chart1" percent={value} /> 7 </div> 8); 9 10export default MyGauge; 11
In this example, value is a prop representing the current value to be displayed by the gauge chart.
React gauge components are highly customizable. You can change the size, colors, and other properties to match the design of your application. For instance, to change the size of the gauge chart, you might adjust the width property:
1<GaugeChart id="gauge-chart1" percent={value} width={400} /> 2
A typical gauge chart includes several visual elements such as the arc, pointer (or needle), and scale. These elements can be styled using CSS or inline styles. For example, to set a specific color for the pointer, you might add a style prop:
1<GaugeChart id="gauge-chart1" percent={value} needleColor="#ff0000" /> 2
Gauge charts often display multiple ranges to indicate different levels of performance or risk. You can define these ranges using various colors or numeric values corresponding to gauge segments.
1const ranges = [0.2, 0.5, 0.75, 1]; // Represents the end value of each range on a scale from 0 to 1 2const colors = ['#FF5F5F', '#FFC260', '#2FCC71']; // Colors for each range 3 4<GaugeChart id="gauge-chart1" percent={value} arcsLength={ranges} colors={colors} /> 5
To make the gauge chart more dynamic, you can add pointer animation. This can be achieved through animated transitions that smoothly move the pointer from one value to another.
1<GaugeChart id="gauge-chart1" percent={value} animate={true} /> 2
The gauge scale is an important feature that helps users understand the exact value the pointer indicates. You can add labels to the scale to display the minimum, maximum, or intermediate values.
1<GaugeChart id="gauge-chart1" percent={value} nrOfLevels={5} labels={['Low', 'Medium', 'High']} /> 2
A circular gauge component in React is a specialized gauge that displays values in a circular format, similar to a clock. It can be created using SVG elements, including features like a center circle, ticks, and arcs to represent the ranges.
To change the gauge chart size in React, you can adjust the width and height properties of the containing SVG or div element. This allows you to scale the gauge to fit different containers or to emphasize it as a focal point on the page.
Gauge charts are used for displaying data that has a precise scale and a maximum value, such as percentages or performance scores. They are ideal for showing how close a current value is to a goal or limit.
While gauge charts are visually appealing, they can have drawbacks. They typically represent a single data point, which may need to provide more context for complex data analysis. Additionally, if not designed well, they can take up a lot of space without adding significant value.
Before you begin, make sure you have the necessary libraries installed. If you're using a pre-built gauge component, you'll need to import it into your React component file:
1import React from 'react'; 2import GaugeChart from 'react-gauge-chart'; 3
Next, define your gauge component within your React component. Set up the initial properties that you'll use to control the gauge's appearance and behavior:
1const MyGauge = ({ value }) => ( 2 <div> 3 <GaugeChart id="gauge-chart1" percent={value / 100} /> 4 </div> 5); 6
Customize the appearance of your gauge by setting properties such as colors, arcWidth, and needleColor. This will help your gauge match the style and branding of your application:
1<GaugeChart 2 id="gauge-chart1" 3 percent={value / 100} 4 arcWidth={0.3} 5 colors={['#10BE5D', '#F4AB44', '#E42525']} 6 needleColor="#464A4F" 7/> 8
To make your gauge chart more informative, add a scale with labels indicating the minimum value, maximum value, and any significant points in between:
1<GaugeChart 2 id="gauge-chart1" 3 percent={value / 100} 4 nrOfLevels={30} 5 arcsLength={[0.3, 0.5, 0.2]} 6 colors={['#5BE12C', '#F5CD19', '#EA4228']} 7 labels={['Low', 'Medium', 'High']} 8/> 9
For a more dynamic user experience, enable pointer animation so that the needle moves smoothly between values:
1<GaugeChart 2 id="gauge-chart1" 3 percent={value / 100} 4 animate={true} 5/> 6
Finally, render your gauge component within your application's UI, passing in the current value as a prop:
1const App = () => { 2 const currentValue = 75; // This value would typically come from props or state 3 return <MyGauge value={currentValue} />; 4}; 5
Key Performance Indicators (KPIs) are metrics used to evaluate the success of an organization or a particular activity. Gauges are a visual tool used to represent KPIs. The main difference between KPIs and gauges is that KPIs are the actual metrics, while gauges are the means of displaying those metrics.
React gauge charts can include various features to enhance their functionality and appearance. These can include:
When creating gauge charts in React, consider the following best practices:
Choose the Right Library: Select a library that aligns with your project's needs and offers the necessary features and customization options.
Understand Your Data: Analyze your data to determine the appropriate scale, ranges, and labels for your gauge chart. Ensure the data is suitable for a gauge representation.
Prioritize Clarity and Readability: Keep your gauge chart design simple and uncluttered. Use clear labels, and appropriate colors, and ensure it's visually appealing and easy to understand.
Optimize for Responsiveness: Design your gauge chart to adapt well to different screen sizes and devices. Use media queries and flexible layouts for optimal display.
Consider Accessibility: Make your gauge chart accessible to users with disabilities by providing ARIA attributes and ensuring color contrast is sufficient.
Keep it Simple: Avoid cluttering the gauge with too much information.
Use Appropriate Colors: Choose colors that are easy to distinguish and convey the right message.
Accessibility: Make sure your gauge chart is accessible to users with disabilities.
React gauge charts are a versatile tool for displaying data clearly and engagingly. By following the steps outlined above and adhering to best practices, you can create effective gauge charts that enhance the user experience of your application. Remember to consider the context in which you're using the gauge chart and to use it as part of a broader data visualization strategy.
Tired of manually designing screens, coding on weekends, and technical debt? Let DhiWise handle it for you!
You can build an e-commerce store, healthcare app, portfolio, blogging website, social media or admin panel right away. Use our library of 40+ pre-built free templates to create your first application using DhiWise.
