Data visualization comes like a lifesaver for developers. If you are reading this you probably understand how displaying data can be daunting. The challenge for many developers is finding an appropriate style of displaying their analyzed data correctly and in a readable way.
This is where Javascript data visualization tools come in. The aim to simplify working with data and even how you present it to users. Data, as you know, is one of the most valuable tools for businesses today. It is the best thing a business can offer its customers today.
That’s why it is worth investing in data to make it as valuable as possible. You can do this by including visualization approaches and tools in your strategy. That’s why interactive Javascript data visualization is worth considering and including in your plan.
This article will look into interactive data visualization in detail to help you understand it better.
Keep reading.
Examples of JavaScript Data Visualization Libraries
This section provides examples of JavaScript data visualization libraries that you can consider. Let’s get started.
1. AnyChart
This JavaScript library is light, simple, and robust. It is also an easy-to-use tool that makes it effortless to integrate beautiful charts into the software you develop. AnyChart is a perfect pick for a developer as it works with a wide range of databases and runs on any platform.
It also allows the user greater flexibility than most JavaScript libraries. This is because the source code is open, allowing users to download and edit it. In addition, AnyChart provides users with great API, documentation, and top-notch customer support.
This library provides a wide selection of chart types from pies, bar, line, scatter, to Pareto charts. It is also compatible with data sources such as XML, JSON, CSV, MySQL, and MongoDB. These features make this one of the most versatile libraries available.
2. D3.js
This is one of the most used libraries by developers. It is a preferred choice by many because it works with almost every framework available in the market. Its high flexibility, speed, and performance are factors that make it an ideal library for developers today.
It comes with various features, including support for large data sets and declarative programming. These are the features that make it solve problems more efficiently. It also provides developers with a clean API and a wide range of data visualization charts to choose from.
3. Chart.js
This open-source data visualization library is another excellent pick for a developer. It makes it easy to work with data and draw various kinds of charts. Chart.js is on Github, and it works perfectly with the HTML5 canvas feature, which makes creating charts for your data effortless.
Chart.js comes with a wide range of features that you can use in your work. For instance, it is free of charge and open-source, as said before. It also supports various modern browsers and is extendable to custom charts. These features make it excellent for a developer’s work.
4. React-vis
This library developed by Uber can be an excellent pick for a developer. It is worth considering one because it is easy to install and use. It also comes with an outstanding list of features that make it one of the best libraries. You can use it to create any of the popular types of charts.
One of its best features is its simplicity which makes it perfect even for beginners. You don’t need expertise in data visualization to make the most of it. Also, it is robust and flexible then integrates well with React. These are some of the features that make it a perfect tool for developers today.
5. ReCharts
This tool uses D3, and it is incredibly light and easy to use. It comes with various features meant to make creating interactive charts easy. You can use it to modify charts and make them stunning. It works for most use cases, but it may get glitchy when big datasets are involved.
The best aspect of ReCharts is its high reliability. It also comes with elements that make it easy for developers to compose charts. It also comes with an intuitive API that is powerful and highly responsive. It is a perfect tool for a developer looking for an efficient data visualization library.
6. Highcharts
There are various reasons why you may consider Highcharts for your development work. It is a visualization library that is easy to use and doesn’t require client-side plugins. You can use it to make various chart types. It has excellent features like the accessibility module to simplify work.
You won’t have problems using Highcharts with different kinds of browsers. It also works on computers and mobile devices without any issues. It also comes with various performance metrics built into it. You can also decide to add any features you like by adding different extensions to Highcharts.
Choosing the Right JavaScript Data Visualization Tool
As said before, interactive data visualization is important for developers today. You can either create pictures or graphics from scratch and integrate them into the software you develop. You can do this using a JavaScript data visualization library of choice.
Here are some factors to consider when choosing a JavaScript data visualization library;
- Consider the chart types the library supports
- Check if there’s community support available
- Look into its features
- Consider its level of interactivity
- Check the rendering method
- Check if it has easy-to-use APIs
These factors can help you pick the correct library for your needs. It is best to consider the use case you want to put a library into before anything else. This will make it easier for you to get the best. In the end, working with data and displaying it will be easier.
Conclusion
As mentioned, data visualization is an essential aspect of development. Once you analyze data sets, the next step should be to make the data easy to interact with, especially for the end-user. This is easy to achieve if you include interactive visualization approaches in your plan.
This article has discussed interactive data visualization in detail. It has also looked into how to get Javascript libraries into the process to increase efficiency. The tips shared in this article seek to make everything easier for you, the developer, and the users of your data.
But then, it is worth remembering that there are various Javascript libraries available. Thus, it would be best if you decided what’s best for you before settling on one. Various factors come into play when choosing a Javascript data visualization library. But aim at finding one that’s customizable and fit for your project.
Once you do, adding data to the applications you develop will be a seamless task. Also, do not forget that adding libraries can also come with negatives. For instance, users could run into unknown issues.
This is why you need visibility in the process; it will be a massive boost for your development work. All you need to do is make the right choices when it comes to the tools you’ll use.