Learning and improving on a skill takes time. It also takes plenty of practice. Consistency and familiarity with the right set of tools, however, can help smooth the process. This is particularly true for an emerging skill like data visualization. When you constantly practice with different graphs and learn new tools, your sense of data visualization improves, and your charts and graphs become more effective.
When it comes to data visualization tools, there are many available at your disposal. It is important, however, to choose one that allows you to make and display robust visualizations that appeal to your audience. You also want a tool that connects with popular front-end technologies like React.
With React, developers create website front-ends that have sleek and modern UIs. Its powerful performance only adds to its popularity with developers. Generally speaking, creating effective data visualizations and hosting them on a React website is a guaranteed recipe for success.
This article helps you kickstart your React data visualization journey by taking you through the ins and outs of creating an effective React chart for your projects.
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Why Use A Data Visualization Library To Make React Charts?
In the early days, web and software development, in general, was quite challenging. You had to create products from scratch and code every feature without help. Now, however, this methodology is a waste of developer time and effort because we have development frameworks to simplify the software creation process. These frameworks are critical for modern software development.
React is one of these frameworks. It has a ready-made, easy-to-use interface specifically for the development of website front ends. Similarly, when it comes to data visualization for web projects, frameworks and libraries exist that simplify the creation of robust visualizations. FusionCharts, a data visualization library is a popular example of this.
You may wonder why React alone isn’t enough for making great charts. The answer is that using an external library like FusionCharts to help you out has several advantages. Here are some of them:
Six Reasons Why You Want to Use an External Library like Fusioncharts with React
1. Smoother Development Process
With a data visualization library doing most of the job for you, you don’t have to worry about developing a whole React chart yourself from scratch.
2. Performance Improvements
The visualizations you create with dedicated libraries are more dynamic and react more rapidly to any changes in the data variables you chart.
3. Better Visualizations
Most React charts that you make using data visualization libraries are much more robust, sleek, and appealing than those made from scratch.
4. Extensive Customization Options
Most data visualization libraries offer you vast control over your React charts, and you can change different attributes like color themes or even add annotations where you need them.
5. Several Visualization Instances
With data visualization libraries, you get to choose from hundreds of pre-developed options that you simply call, integrate into your project, and feed data for visualization.
6. Easy Handling Of Big Data
When handling millions of data points that may or may not be static, data visualization libraries have optimized methods working on the back-end.
These points make a strong case for using data visualization libraries to make your React chart. When you use a popular option like FusionCharts, you can also be confident that it’ll deliver all this and more. It easily integrates with React projects and lets you instantly create charts without any setup hassles.
What To Look For In A Data Visualization Library For React?
Does it offer Robust Integration?
React is a powerful front-end technology in itself. It offers many helpful methods and interfaces on the back-end. Since it focuses on helping you create dynamic and reactive websites, React’s implementation is optimized by default. The data visualization library you choose should take advantage of these characteristics and use them to deliver appealing and effective React charts. Simply put, your library should tightly integrate with React’s architecture.
Using FusionCharts with React lets you use an interface very similar to React’s own. This means you can draw up and configure your visualizations with native data binding that updates smoothly. In addition, FusionCharts supports multiple data types like JSON URL, XML URL, or React’s own Prop Array binding. This makes FusionCharts one of the most preferred libraries for drawing powerful React charts.
Can it have Powerful Interactivity?
The only thing better than a practical and appealing React chart is an interactive instance. Everyone knows that users like to explore data visualizations. Therefore, giving your chart interactive features dramatically improves the user experience and success of the visualization.
FusionCharts fulfills this need for interactive and eye-catching visualizations. It provides you with methods to bring your charts to life. FusionCharts’ React integration gives you control over events and how they trigger specific methods. The result is visualizations that the user can modify using sliders or buttons. These details make your charts stand out.
Does it offer Extensive Control Over Visualizations?
You don’t want a data visualization library that is a short-term solution. It needs to have your back no matter how complicated or straightforward your React chart is. Whether it is a simple bar chart or a graph with multiple annotations and labels, your library should be able to handle it. Different levels of complexity shouldn’t mean you need to compromise on your chart’s overall performance.
Using FusionCharts with your React application means you get to include multiple levels of data visualization. You can also add annotations to emphasize your data insights. You can also insert extra numerical figures to bring a helpful perspective into your React chart. With FusionCharts’ advanced features, you can create self-explanatory data visualizations.
What are the Big Data Capabilities?
Most use cases involve charting up data for a few hundred data points. However, as data availability increases, so does the need to create data dashboards that can visualize millions of data points. As a result, your data visualization library should be comfortable processing and visualizing this big data.
With FusionCharts, constructing big data dashboards is easy. You can choose your sources and feed them to FusionCharts for visualization. Your back-end data can come through any option in the back-end integrations library. Finally, you can control every aspect of the dashboard UI to ensure that it is uncluttered and user-friendly.