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A Comparison of the Best Data Visualization tools today!

Blog: Indium Software - Big Data

What is Data Visualization?

The presentation of data in either a graphical or pictorial format essentially defines what data visualization is.

How data visualization helps decision makers is by enabling them to view analytics presented visually.

This allows them to grasp difficult concepts easily and also in the identification of new patterns.

The interactive technologies available today further help to drill down into graphs and charts for in depth detail, in turn interactively changing the data you view and how it’s processed.

Importance of Data Visualization:

Bearing in mind as to how the human brain functions and processes information, making use of graphs and charts to visualize vast amounts of complex data is much easier than breaking our heads over spreadsheets and reports. 

Data visualization is a means to convey concepts in a universal manner, only in a quicker and easier way.

Data Visualization works under many scenarios, all it requires is minor adjustments and tweaks with respect to the scenario.

Data visualization also helps with –

So how do we do data visualization? There are many tools available today that need a Zen level of mastery to learn!

Let’s take a look at 5 tools that rule the data visualization market:

Power BI:

Microsoft created this business examination tool to empower businesses to picture and dissect information accurately and effectively.

Interfacing with various kinds of information sources is made possible with Power BI. This information will be available via altered dashboards and point by point detailing.

Power BI loaded with its own business intelligence capabilities is a very comprehensive visualization tool.




Tableau is the home of intuitive and interactive visual analytics. It is a visualization tool which can be easily used by people as well as enterprise scale organizations.

It is a tool which has an easy interface and provides killer interactive data visualization. Finding data driven solutions is why organizations love Tableau.




Qlikview is a product of Qlik which assimilates data from multiple sources and integrates it extremely quickly into a single powerful application.  

This visualization tool has some brilliant and engaging state of the graphics to help you study, analyze and interpret the data.

This tool is extremely easy to use and gives you real-time answers to an inquiry you make.

All work can be done on the dashboard from anywhere you are because of the stunning mobile app.




If you want to produce dynamic, interactive data visualizations in web browsers, D3 is the go to tool.

The widely implemented CSS, SVG and HTML5 standards are widely made use of by D3.js. It is the successor to the Protovis framework. D3.js is a javascript library with a lot of potential in data visualization. D3 is used on majority of the websites.



R Shiny

Shiny is an open source tool from the R Studio. It is arguably the best visualization tool in the market as of now.

This tool specializes in visualizing complex data and deciphering relationships from data.

Shiny creates interactive plots in R and thereby resolves the problem of writing codes in R to plot graphs.

The biggest feature of Shiny is that no knowledge of Javascript, HTML or CSS is required.


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Below is a comparison table that our data scientists compiled with the various usage parameters in mind:

I hope this blog gave you an insight as to which visualization tool you need to pick to make your business grow by leaps and bounds.

The post A Comparison of the Best Data Visualization tools today! appeared first on Indium Software.

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