Best Data Visualization Tools

By CIOReview | Monday, May 8, 2017
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Data has to be modified or visualized to collect meaningful information better than being in its raw state. Today, sophisticated tools and techniques such as artificial intelligence, machine learning, and statistics are used for collecting information from raw data and transform it into an understandable structure for various requirements. Data visualization allows observing various patterns and useful information statistics that are not available in its raw form. Data visualization is performed using the visualization tools that show insights from the raw data.


Today, organizations utilize information from data and analyze this information for business strategies and future predictions using artificial intelligence. Take a look at some of the best data visualization tools available today.  

1. Google Chart

Keeping up with the Google standards in quality and user friendliness, the Google chart is one of the easiest and simplest data visualization tools. It seamlessly handles huge amount of data with exceptional efficiency. Google chart comes with a set of chart gallery that includes simple line graph to complex hierarchical tree-like graphs. The charts are highly customizable and it renders the chart in HTML5/SVG format with cross-browser compatibility. Moreover, the Google chart is quite efficient in handling real-time data, and combine data from other Google products like Google Map with your existing data to make an interactive chart and control them from an interactive dashboard. Furthermore, the service is absolutely free with a strong Google support.

2. Fusion Chart

The fusion chart is basically a Javascript charting library focused on mobile devices and web. As the fusion chart is especially for the developers, knowledge in Javascript is recommended for implementing it. Data can be added either in XML or JSON format and the application renders the data through charts using HTML5, SVG, and VML format. Exporting charts are painless here, and the application allows exporting any chart in PNG, JPG, or PDF format. The application is available on Android, iPhone, iPad, MAC and Windows. Unfortunately, the Fusion Chart is not a free visualization tool.

3. Chart.js

Chart.js is an open source library that only supports up to six chart types that includes Line chart, bar chart, polar chart, radar chart, pie chart, and doughnut chart. Emerged in recent time, the application uses responsive and flat design. Chart.js is the perfect solution for small projects and visualizing small data sets. The application uses HTML5 canvas element for rendering charts.

4. D3

Data Driven Document or better known as D3 is a javascript library designed for visualizing big data. Unlike other applications, this is not a simple tool, and the user should be proficient in javascripts to visualize the data efficiently. The application renders the data via Hypertext Markup Language, Cascading Style Sheet, and Scalable Vector Graphics. D3 does not support a monolithic framework, and it solves the problem from the crux. It allows you to bind arbitrary data with Document Object Model and apply the data-driven transformation with a smooth transition and animation effect. The application supports large data in real-time, with extremely fast results. Moreover, it generates dynamic interaction and animation in both 2D and 3D with a minimal overhead. The functional style of D3 offers an option to reuse the codes through the various collections of components and plug-ins.

5. Fusion Charts

The FusionCharts Suite XT comes with a set of more than 90 charts and gauges, business dashboards, data-driven maps and demos. The application is designed with extensive JavaScript Application Programming Interface, allowing seamless integration with any JavaScript Framework or AJAX application. The applications dashboards, charts, and maps are highly interactive, customizable and cross platform compatible.