Table of contents
What Is Data Visualization?
There is no perfect definition of Data visualization, but for an explanation, we can say that it is an easy representation of your complex data in better visuals. That means showing your complex data and information using charts, graphs, maps, and other visual tools.
For instance, let’s assume you want to analyze the sales of your online store for the last month. Now you have two options, either you create an Excel sheet and create a report that shows your last month’s sales or, you create a graphical representation of the sales.
Now, analyzing the sales growth from your report can be tough but by graphical representation, you can easily analyze your sales and make your decision accordingly.
What is the Importance of Data Visualization?
- Understand Complex Data: Data visualization helps you easily understand complex data and enables you to comprehend the data better. Besides, Data visualization tools such as charts, graphs, and maps present data in a more accessible and understandable way, making it easier to analyze patterns, trends, and outliers.
- To make better decisions: With better data representation, you can quickly identify the insights and trends of your data. Furthermore, this information can be used to make better decisions, bringing better outcomes to your business.
- Easier communication: Visual data representations are more accessible and easy to understand to multiple audiences. This means your data can be easily understood by both technical and non-technical users compared to raw data. As a result, you can have clear communication among your team.
- Saves time: Data visualization tools make the analysis part of your data easier. Besides, it makes it faster and more efficient to understand large data sets. This enables you to save time and resources while deriving insights from complex data.
- Increases engagement: Data visualization makes your data more engaging and exciting. In addition, it can help to increase user engagement and retention. Furthermore, it presents your data in a more appealing format so your users can easily explore and interact with it.
Our developer team verifies the libraries mentioned in this list and we have added the libraries that we have personally used in the ThemeSelection Admin dashboard templates.
We also recommend using the best IDE in Programming to boost your workflow. IDEs can help you work effectively and also saves you time by providing you with the best development environment.
Furthermore, it combined powerful visualization components and a data drive approach to DOM manipulation. For instance, you can use D3 to generate an HTML table from an array of numbers and then, use the same data to create an interactive SVG bar chart as well.
The library supports animations and interactions to let readers interact and explore your data. For instance, it has a bar chart race, an animated tree map, a hierarchical bar chart, a collapsible tree, and many more.
- DOM manipulation
- Data binding
- Modular structure
- Data-driven approach
- Community support, and many more…
- Modern browser support
- Plugins for efficient customization
- Uses canvas element
- Line segment styling
- Advanced animations
- Mixed chart types, and many more…
We also used this chart js library at ThemeSelection in some of our Web App dashboard templates to provide our users with the best data visualization on their dashboards. For instance, you can check Sneat – Vuetify Vuejs 3 Admin Template.
The Vue Admin comprises many other useful libraries and components which can help you to kickstart your next project.
Apart from this, we also suggest using UI kits while working on any web apps as UI kits are very helpful to create appealing web apps. You can use the free UI kits as well.
In addition, the library offers a wide range of charts in which you can create a combination of different charts. It provides you with responsive charts that are interactive and dynamic in nature.
Moreover, ApexCharts also provides smooth animations to provide an interactive experience when changing datasets, loading dynamic data, and interacting with the charts.
- Powerful configuration options
- Rich Annotations
- Multiple Axes and Data Series
- Real-time and Streaming Data
- Exporting and Printing, and many more…
We have also used ApexCharts in our Bootstrap dashboard template. For instance, you can check our latest Sneat – Bootstrap 5 HTML Admin Template in which charts are graphs are used from this library.
Recharts is an open-source and composable data visualization library built on React components. In addition, it is a refined library that is built on React and D3. It lets you write charts in React application very easily.
Furthermore, this open-source React chart library offers a wide range of chart types, customization options, and interactivity features, making it a powerful tool for data visualization.
It also supports animated transitions for chart elements. Therefore, you can animate data updates, chart transitions, and interactions, and enhance the user experience
- Customization options
- Responsive and interactive
- Data integration
- SVG-Based Rendering
- Animation support, and many more…
You can check one of our React Admin Templates for the live usage of Recharts in the web app. For instance, Materio MUI React Next Js Admin Template.
Also, check the Free version of this template…
If you’re looking for an elementary responsive charting library built with SVG then look no further than Chartist. The aim of this library is to provide you with a simple, lightweight, and unintrusive library to responsively craft charts on your website.
The open-source library provides a high-level API to draw charts in various ways effortlessly. Apart from it, you can also add SVG animation to your chart to make it more user-friendly.
In case, you want to add more animations to your project, you must check the list of the best React Animation library and Vue Animation library.
- Available in TypeScript as well.
- SVG-based rendering
- Lightweight and fast
- Customizable colors, styles, and animations
- Tooltip support for data points, and many more…
Carbon Design System
Carbon is IBM’s open-source design system that has a collection of pre-built, reusable components, and code that helps the user to build their project faster. Now, the carbon charts are part of this design system that gives out beautiful and promising visualization of your data.
Furthermore, the library is implemented using D3 and TypeScript and it offers multiple packages. For instance, it has Vanilla, React, Vue js, Angular, and Svelte packages.
In the vanilla, it offers 25+ components and chart types like Bar charts, Pie charts, Radar, Area, Meter, Tree, Heatmap, Sparkline, and many more.
- Multiple chart types
- Customization options
- Data animations and transitions
- Interactive and responsive charts, and many more…
Victory is another React-based charting library with modular components for React and React Native. Moreover, it lets you create data visualization with fully customizable styles and behavior. It uses the same API for web and React native applications for easy cross-platform charting.
Furthermore, using d3-interpolate Vicotry is able to perform animation to your props in the chart. It also supports default transitions for entering and exiting nodes. In addition, Victory support 15 types of charts so that you can manage your complex to simple data.
- Custom charts and components
- Brush and Zoom
- Backgrounds for Victory Label
- Label placement options for Pie chart
- Histogram, and many more…
- Cross-browser compatibility
- Data format support
- Responsive design
- Customization options
- Data interaction like a tooltip, and many more…
Moreover, it supports canvas rendering which uses the browsers Canvas API for fewer moving parts in the DOM and faster rendering. It has the capability of running scores of charts on the same page, without crippling the browser, due to its lightweight approach to data parsing and rendering.
- Geo maps
- Fast data processing
- Better tree-shaking
- Chord diagrams and Heatmaps
- 13+ Chart types, and many more…
Furthermore, it supports a variety of chart types like line charts, bar charts, pie charts, scatter plots, and more. Hence, this makes it easy for developers to choose the right chart type for their data and use case. Besides, it also allows users to export charts in a variety of formats, including PNG, JPEG, PDF, and SVG.
Highcharts also support a variety of animations that can be applied to the charts to make the charts more engaging and interactive.
- Wide range of chart types
- Responsive and Interactive design
- Cross-browser compatibility
- Documentation, and many more…
This library has default zoom, pan, and mouse-over options to use in charts which works on mobile/tablet devices to create more interactive charts.
In addition, Dygraphs has both Line and Multi-line chart availability in it. This open-source chart library comes with a very active community.
- Huge data sets
- Interactive chart types
- Strong support for high/low bands
- Highly customizable
- Zoom in/out capable, and many more…
In the list of open-source chart libraries, we have some best premium data visualization libraries that as FusionCharts. Moreover, when you purchase this library you will get access to all of its other libraries such as FusionGrid, FusionWidgets, PowerCharts, FusionMaps, and many more.
The chart library offers 100+ charts and 2000+ maps that can cover any complex report to modern data visualization. In addition, these charts are responsive, cross-browser compatible, and have a consistent API. Therefore, you can easily add your first chart to your web app without any hassle.
- Customizable looks and feel
- Easy to use with a low learning curve
- Examples for inspiration
- Comprehensive documentation
- Drill down, Tooltips, Chart Loading Config
- Export Charts, and many more…
As these libraries comprise pre-existing code for these charts and graphs you can use it right away in your project.
Therefore, you must consider checking out these libraries to make your data interactive and easy to understand. Moreover, the library selection will totally depend upon individual needs and requirements. All these libraries are designed to handle easy to complex data.
We have mentioned open-source libraries in this list as well as premium. So choose your library wisely and please share this list with your friends and colleagues.
Happy coding, Cheers 🥂!