7 Best Data Visualization Tools

The market for data visualisation was projected to be worth $8.85 billion in 2019, as stated in a research published by Fortune Business Insights. At the current compound annual growth rate of 10.2 percent, it is anticipated that the market value would reach $19.20 billion by the year 2027.

The worldwide market for data visualisation is being propelled forward by a number of factors, including the proliferation of smartphones, the increasing usage of the internet, the fast breakthroughs in machine learning, the expanding acceptance of cloud computing technologies, and the Internet of Things.

In addition, the growing trend toward smart manufacturing as well as the ever-expanding usage of visual analytics, information visualisation, and scientific visualisation in businesses of all sizes are other contributing factors to the expansion of the data visualisation market.

What Is Data Visualization?

The process of graphically representing data in the form of maps, charts, sparklines, infographics, heat maps, or statistical graphs is referred to as data visualisation.

Data that is presented using visual components is much simpler to comprehend and examine, which paves the way for the efficient and effective extraction of insights that can be put into action from the data. The results may then be used by relevant stakeholders as a basis for making more effective choices in real time.

The graphical depiction of data is made easier by the use of data visualisation technologies that include support for streaming data, interaction with artificial intelligence, embeddability, collaboration, interactive exploration, and self-service capabilities.

The following is a list of 15 high-quality data visualisation tools that are gaining reputation in the industry due to their excellent performance and user-friendliness.

1. Tableau

Tableau, which is one of the most popular data visualisation tools, provides interactive visualisation solutions to more than 57,000 businesses.

Tableau efficiently creates visualisations and graphics from large datasets that are constantly evolving and are used for applications in artificial intelligence, machine learning, and Big Data. Teradata, SAP, My SQL, Amazon AWS, and Hadoop are some of the advanced databases that Tableau integrates with.

Pros

• Excellent visualisation capabilities
• Simple to operate
• A performance of the highest calibre
• Allows for connecting with a wide variety of data sources
• Mobile Responsive
• Contains a community that is educational

Cons

• The prices are a little bit on the upper end of the spectrum.
• Options for report scheduling and auto-refreshing are not yet available.

2. Dundas BI

The data visualisations provided by Dundas BI are extremely customisable, and they include interactive scorecards, maps, gauges, and charts. This facilitates the construction of ad hoc reports that span many pages. Cleaning, examining, manipulating, and modelling large datasets may be made much simpler by using Dundas BI since it gives users complete control over the graphical components used in the process.

Pros

• Exceptional flexibility
• Numerous distinct data sources and graphical representations
• Extraction, presentation, and modification of data are only some of the many built-in functionalities available.

Cons

• No option for predictive analytics
• 3D charts not supported

3. JupyteR

Users are able to create and share documents that include visuals, equations, narrative prose, and live code with the assistance of JupyteR, which is a web-based programme that is regarded as one of the best data visualisation tools. The tasks of data cleaning and transformation, statistical modelling, numerical simulation, interactive computing, and machine learning are all well suited to Jupyter.

Pros

• Rapid prototyping
• Results that are pleasing to the eye
• Streamlines the process of sharing data and insights with others

Cons

• Difficult to work together
• The process of examining code may on occasion be difficult.

4. Zoho Reports

Zoho Reports, also referred to as Zoho Analytics, is an all-inclusive data visualisation tool that integrates Business Intelligence and online reporting services. This integration enables the rapid creation and sharing of extensive reports in a matter of minutes. Zoho Reports was formerly known as Zoho Analytics. Importing Big Data from key databases and apps is also supported by the high-grade visualisation tool.

Pros

• Easy production and update of reports with little effort required
• Contains helpful capabilities such as the scheduling of emails and the sharing of reports
• There is sufficient space for the data.
• Quick assistance for customers when needed.

Cons